mice: Multivariate Imputation by Chained Equations inR
2011/01/01 by Stef van Buuren, Karin Groothuis‐Oudshoorn · 1 voice · 343 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Data Analysis with R #Metabolomics and Mass Spectrometry Studies #Statistical Methods and Bayesian Inference
paper · doi:10.18637/jss.v045.i03
openalex publication_date 2011/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Abstract
The R package <b>mice</b> imputes incomplete multivariate data by chained equations. The software mice 1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R package. mice 1.0 introduced predictor selection, passive imputation and automatic pooling. This article documents mice, which extends the functionality of mice 1.0 in several ways. In <b>mice</b>, the analysis of imputed data is made completely general, whereas the range of models under which pooling works is substantially extended. <b>mice</b> adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling routines, model selection tools, and diagnostic graphs. Imputation of categorical data is improved in order to bypass problems caused by perfect prediction. Special attention is paid to transformations, sum scores, indices and interactions using passive imputation, and to the proper setup of the predictor matrix. <b>mice</b> can be downloaded from the Comprehensive R Archive Network. This article provides a hands-on, stepwise approach to solve applied incomplete data problems.
Citations
Cited by
- Acceptability of Intensive Ambulatory Assessment Combining Four Wearable Sensors and Ecological Momentary Assessment to Assess Physical and Eating Behaviors in Adults: The WEALTH Project
- Diminishing Returns Among Black Patients With Cancer: The Intersection of Race and Neighborhood Socioeconomic Status
- Using expert elicitation to predict feral cat, Felis catus , responses to management
- Pre-pandemic Predictors of Loneliness in Adult Men During COVID-19
- Model Uncertainty and Missing Data: An Objective Bayesian Perspective (with Discussion)
- How To Treat Missing Data In Survey Research
- Big little lies: a compendium and simulation of p -hacking strategies
- The Impact of Long-Term Finance on Job Quality, Investments and Firm Performance: Cross-Country Evidence
- Rethinking social media metrics: Daily interaction valence and well‐being in university students
- Everyday and healthcare discrimination and polysubstance use among U.S. adults
- On new data sources for the production of official statistics
- Geospatial disparities in infant mortality in Ghana: evidence from national data
- Meta-analysis shows that overabundant deer (Cervidae) populations consistently decrease average population abundance and species richness of forest birds
- Pathway to Excellence Designation, Nurse Work Environment, and Hospital Quality and Safety: A Multi‐State Hospital Study
- Genetic influences on suicide attempt in adolescence: Evaluating mediation by impulsivity and painful and provocative events
- Predicting cognitive function 3 months after surgery in patients with a glioma
- Prenatal exposure to per- and polyfluoroalkyl substances (PFAS) and incidence of asthma and wheeze in childhood: A register-based cohort study in Ronneby, Sweden
- Changes in cardiovascular health and physical functioning in non‐hospitalized, adult COVID ‐19 patients after 3 years of follow‐up
- Longitudinal changes in circulating biomarkers from baseline to week 48 in treatment-Naïve people living with HIV initiating integrase inhibitor-based antiretroviral therapy
- Comparing the posterolateral and the direct lateral approach for cemented hemiarthroplasty after femoral neck fracture: a cost-effectiveness analysis
- A counterfactual and random intercept cross‐lagged panel analysis of the effects of reading frequency on adolescent mental health in a large longitudinal study
- Effects of parent–child interaction therapy dosage on child and parent outcomes: differentiating child‐directed interaction and parent‐directed interaction session impacts in child welfare‐involved families
- Rethinking the Unplanned ICU Admission Quality Metric in Trauma Patients
- Is mental health problems measurement equivalent across disability, gender, age, and cohort in children? Findings from a Swedish national survey
- Smartphone use in a large US adult population: Temporal associations between objective measures of usage and mental well-being
- PatientProfiler: building patient-specific signaling models from proteogenomic data
- Changes in foliar chemistry and nutrient resorption in northern hardwood forests in response to long‐term experimental nitrogen and phosphorus addition
- Composition of core modules and item allocation in split questionnaire designs: impact on estimates from imputed data
- Changes in health-related quality of life over a 1-year follow-up period in children with inflammatory bowel disease
- The prevalence of food insecurity and its relationship with wellbeing in a large, cross‐sectional study of children and young people in England
- Playing a different game: Situation perception mediates framing effects on cooperative behaviour
- Revealing the interplay between digital media use and affective well-being across developmental stages: Results of an experience sampling study with Austrian adolescents
- Mapping phenotypic and genetic relationships among irritability, depression and ADHD in adolescence using network analysis
- Sociodemographic trends in special educational needs identification in Wales
- The presymptomatic and early manifestations of semantic dementia
- Measuring Nonreligion as Absence: Testing Various Approaches
- Two-Sample Testing with Block-Wise Missingness in Multi-Source Data
- Imputation-Powered Inference
- Learning the natural history of human disease with generative transformers
- Opposition electoral strategies against democratic backsliding: the United for Hungary coalition and its 2022 primaries
- Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes
- Meta-Analysis with JASP, Part I: Classical Approaches
- Epidemiology of sepsis-associated acute kidney injury in the ICU with contemporary consensus definitions
- A practical guide to causal discovery with cohort data
- Identifying individuals at clinical high risk for psychosis using a battery of tasks sensitive to symptom mechanisms
- Coffee and tea intake, circulating inflammatory biomarkers, and long-term risk of dementia: findings from two longitudinal studies
- Bayesian Analysis of Cross-Sectional Networks: A Tutorial in R and JASP
- Cumulative Marginal Mean Model for Assessing Sequential Effects Using Digital Health Data
- Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
- Definition of failure to rescue in gastrointestinal and hepatobiliary cancer surgery: national cohort study
- A Survey of Visual Analytics for Public Health
- Parent and child gender effects in the relationship between attachment and both internalizing and externalizing problems of children between 2 and 5 years old: A dyadic perspective
- Feral Ungulate Impacts on Carbon Cycling in a Coastal Floodplain Wetland in Tropical Northern Australia
- How to reconcile pasture grazing and wolf recolonisation? Perceptions of management options by livestock farmers in Germany
- Unveiling the biochemical and haematological profile of blue shark (Prionace glauca) in the Mediterranean after bycatch
- Targeting intolerance of uncertainty in young children diagnosed with autism: A randomized controlled trial of a parent‐mediated group intervention
- Markov Missing Graph: A Graphical Approach for Missing Data Imputation
- PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data
- Fetal Head Growth and Head Circumference at Birth in Children of Women with Psychotic Disorders and Population-Based Controls
- Screen11: validating a screening instrument for voice disorders in accordance with the COSMIN framework
- Correcting for partial verification bias in diagnostic accuracy studies: A tutorial using R
- Evolution of hind limb morphology of Titanosauriformes (Dinosauria, Sauropoda) analyzed via 3D geometric morphometrics reveals wide-gauge posture as an exaptation for gigantism
- Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study
- Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders
- Ten simple rules to follow when cleaning occurrence data in palaeobiology
- Examination of race‐based traumatic stress symptom networks in Black adults in the United States: A network analysis
- Missing Data Imputation using Neural Cellular Automata
- Handling Missing Data with Graph Representation Learning
- Preliminary predictors of self‐stigma among individuals in a telehealth‐based treatment program for alcohol use disorder
- Trends in full-time working in general practice: a repeated cross-sectional study
- Children’s Pathways of Exposure to Child Protective Services Over the Life Course and by Race/Ethnicity
- White matter functional gradients and their formation in adolescence
- Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods
- Digital Skills Formation in Gendered Peer Networks: Exploring advice giving and taking in classrooms
- STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems
- Extinct Pleistocene carnivores were diurnal and highly active
- A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
- Prevalence, predictors, correlates, and dynamic changes in the NIAAA‐defined “recovery” definition
- Improving Missing Data Imputation with Deep Generative Models
- An Imputation-Consistency Algorithm for High-Dimensional Missing Data Problems and Beyond
- School Difficulties and Long COVID in Children and Adolescents
- Detecting conflicting summary statistics in likelihood-free inference
- Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning
- Functional Analysis of Variance for Association Studies
- Improving Data Integrity in Samples Obtained From Web-Based Recruitment: Protocol for the Development of a Novel System for Assessing Participant Authenticity in a Remote Longitudinal Cohort Study of Polysubstance Use
- Disproportionate climate burden of rising temperatures on low birth weight in Pakistan
- The neural basis of naturalistic semantic and social cognition
- Variable selection via knockoffs in missing data settings with categorical predictors
- Simulation-based Sensitivity Analysis for Non-ignorable Missing Data
- Kidney Failure Risk Equation performance according to the etiology of chronic kidney disease in the CKD-CAREMEAU cohort
- Estimating breast cancer recurrence in a population-based registry in Georgia, US
- Domain Adaptation with Incomplete Target Domains
- Measuring conscientiousness and its impact on academic performance: Insights from self-reports and behavioral data
- TCDiff: Triplex Cascaded Diffusion for High-fidelity Multimodal EHRs Generation with Incomplete Clinical Data
- Evaluating virtual-control-augmented trials for reproducing treatment effect from original RCTs
- A Video Machine Learning Framework for Spatiotemporal Analysis of Complex Urban Dynamics
- Comparison of outcomes after living and deceased donor kidney transplantation: UK national cohort study
- Local grazing pressure drives the diversity of flower traits in semi-natural grasslands
- Inequities in ‘failure to rescue’ for Indigenous Māori after gastrointestinal cancer surgery in New Zealand
- A Pseudo-Marginal Metropolis-Hastings Algorithm for Estimating Generalized Linear Models in the Presence of Missing Data
- Populism, nationalism, or national populism? An analysis of Slovak voting behaviour at the 2010 parliamentary election
- Mexico 2021: Psychological Intimate Partner Violence Against Women and the Role of Childhood Violence Exposure -- A Machine Learning Approach
- MIBoost: A Gradient Boosting Algorithm for Variable Selection After Multiple Imputation
- Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support
- MIMCA: Multiple imputation for categorical variables with multiple correspondence analysis
- dame-flame: A Python Library Providing Fast Interpretable Matching for\n Causal Inference
- A Bayesian Additive Regression Trees Model for zero and one inflated data for Predicting Individual Treatment Effects in Alcohol Use Disorder Trials
- Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease
- Quantifying critical thinking: Development and validation of the Physics Lab Inventory of Critical thinking (PLIC)
- What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems
- Childhood trauma is linked to epigenetic age deceleration in young adults with previous youth residential care placements
- Modeling the Association Structure in Doubly Robust GEE for Longitudinal Ordinal Missing Data
- The association of retinal age gap with schizophrenia: a cross-sectional analysis
- Long-term ambulance, emergency, and hospital use following mine fire-related PM 2.5 exposure: analysis of linked data
- Infusion of blood from young and old mice modulates amyloid pathology
- Genetic risk and transdiagnostic traits in anorexia nervosa, obsessive-compulsive disorder, and schizophrenia
- Janus kinase and calcineurin‐inhibitor combination in anti‐MDA5 dermatomyositis: No significant survival benefit but reassuring safety profile
- A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis
- Quality control, data cleaning, imputation
- Adiposity, mortality, and disease risk: insights from bioimpedance analysis and magnetic resonance imaging
- Smart But Maladapted? Differences in the Psychological Functioning of Intellectually Gifted Students Compared With Average-Ability Students
- The Role of All-Day Schooling in Friendship Segregation Between Students with Different Language Backgrounds
- CONFLICTING EVIDENCE OF EXPLICIT AND IMPLICIT KNOWLEDGE FROM OBJECTIVE AND SUBJECTIVE MEASURES
- Examining changes in binge‐eating disorder network centrality and structure in patients treated with cognitive‐behavioral therapy versus interpersonal psychotherapy
- Outcomes after reoperated medial unicompartmental knee arthroplasties compared with primary total and primary unicompartmental knee arthroplasties: a cohort study based on local Danish databases
- Optimal integrating learning for split questionnaire design type data
- Postoperative outcomes in colorectal surgery by day of surgery: A national cohort study
- A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems
- Prenatal Alcohol Exposure and the Development of Multiple Risk Behaviors in Adolescence: A Birth Cohort Study
- Fewer courses, longer degrees: multidimensional risk profiling of academic trajectory gaps
- Reducing stigma in primary care toward people who use drugs: A pilot study exploring the promise and limits of stigma training
- EEG features in late-onset epilepsy: possible correlation with cognitive impairment
- Imputation techniques on missing values in breast cancer treatment and fertility data
- Patient-Reported Toxicity and Quality-of-Life Profiles in Patients With Head and Neck Cancer Treated With Definitive Radiation Therapy or Chemoradiation
- Unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates
- Confidence Intervals for Random Forest Permutation Importance with Missing Data
- When Pattern-by-Pattern Works: Theoretical and Empirical Insights for Logistic Models with Missing Values
- COADVISE: Covariate Adjustment with Variable Selection in Randomized Controlled Trials
- Measuring autistic burnout: A psychometric validation of the AASPIRE Autistic Burnout Measure in autistic adults
- Accommodating the Analysis Model in Multiple Imputation for the Weibull Mixture Cure Model:Performance under Penalized Likelihood
- Trends in drug–drug interaction prevalence and longitudinal associations with health outcomes in the older community‐dwelling population: Findings from The Irish LongituDinal study on Ageing
- Does Truth Pay? Investigating the Effectiveness of the Bayesian Truth Serum With an Interim Payment: A Registered Report
- Machine learning-based clinical prediction modeling -- A practical guide for clinicians
- Regularized k-POD: Sparse k-means clustering for high-dimensional missing data
- A Bayesian Spatio-Temporal Model of Temperature- and Humidity-Related Mortality Using High-Resolution Climate Data
- Subnational survey data reveal persistent gaps in living standards across 75 low and middle-income countries
- Difficulties with emotion regulation as a transdiagnostic mechanism linking child maltreatment with the emergence of psychopathology
- Childhood adversity and adolescent mental health: Examining cumulative and specificity effects across contexts and developmental timing
- Hesitant Minds in Vulnerable Times: COVID-19 Vaccine Hesitancy Among University Students in Ukraine
- Markov Chain Monte Carlo with the Integrated Nested Laplace Approximation
- Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy
- Assessment of anxiety in children during the COVID‐19 pandemic
- The Machiavellian Approach and Avoidance Questionnaire: Further Validation and Evidence of Cross-National Validity
- The impact of age, sex, and comorbidities on COVID-19 mortality of hospitalized patients during the SARS-CoV-2 pandemic: data from the multicentric prospective cohort study of the Lean European Open Survey on SARS-CoV-2 (LEOSS)
- MRPC: An R package for accurate inference of causal graphs
- Interethnic Contact Norms and Interethnic Dating Among Ethnic Majority and Minority Adolescents in The Netherlands
- Impact of polymorphisms on gene expression and splicing in response to exercise and diet-induced weight loss in human skeletal muscle tissues
- Impact of honey on post‐tonsillectomy pain in children ( BEE PAIN FREE Trial): a multicentre, double‐blind, randomised controlled trial*
- JointAI: Joint Analysis and Imputation of Incomplete Data in R
- Gestational thyroid hormone concentrations and risk of attention‐deficit hyperactivity disorder in the Norwegian Mother, Father and Child Cohort Study
- On the consistency of supervised learning with missing values
- Perceived Inequality as an Impediment to Mass Taxation: Evidence From Latin America
- Likelihood of Whole-Grade or Subject Acceleration for Twice-Exceptional Students
- Effectiveness of a Guided Internet- and Mobile-Based Intervention for Patients with Chronic Back Pain and Depression (WARD-BP): A Multicenter, Pragmatic Randomized Controlled Trial
- How to rank imputation methods?
- Missing the Point: Non-Convergence in Iterative Imputation Algorithms
- Deconvolutional Networks on Graph Data
- Exploring the Limitations of kNN Noisy Feature Detection and Recovery for Self-Driving Labs
- Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models
- Modeling Firm-Level ESG-Sentiment Interactions in Stock Returns: Evidence from 16 Companies Using Retrofitted Word Embeddings
- Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness
- Predicting feature imputability in the absence of ground truth
- Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation
- IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)
- Longitudinal associations among resilience, social isolation, and gender in U.S. Iraq and Afghanistan–era veterans
- Early and later susceptibility to effects of parenting: Exploring Frankenhuis and Panchanathan’s (2011) evolutionary commitment hypothesis.
- Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
- Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets
- Associations of maternal blood biomarkers of prenatal APAP exposure with placental gene expression and child attention deficit hyperactivity disorder
- Missing Data Imputation using Optimal Transport
- Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison
- Flow Matching with Missing Data
- Likelihood-free approximate Gibbs sampling
- Tracking Vertical Transfer Students’ Credits: Changes in Applicability to Degree Requirements
- A Different Approach to the Problem of Missing Data
- Is why we drink alcohol important when considering the potential public health benefit of alcohol-free and low-alcohol drinks? A cross-sectional study investigating associations between alcohol drinking motives and alcohol-free and low-alcohol drink consumption among adults in Great Britain
- Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection
- Exploring passion for opioid use with a treatment-seeking sample: results from a canonical correlation analysis
- Cross-linguistic influence in L3 acquisition
- Prediction of antidepressant side effects in the Genetic Link to Anxiety and Depression Study
- Uninformed or informed populists? The relationship between political knowledge, socio-economic status and populist attitudes in Poland
- Development of ankle and knee range of motion after isolated gastrocsoleus lengthening in children with cerebral palsy: a register-based longitudinal cohort study
- Sensitivity analysis method in the presence of a missing not at random ordinal independent variable
- Hybrid methods for missing categorical covariates in Cox model
- Diagnostics for Multivariate Imputations
- A case for data valuation transparency via DValCards
- Imputing With Predictive Mean Matching Can Be Severely Biased When Values Are Missing At Random
- Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion
- Multiple Imputation Through XGBoost
- Learning Individual Models for Imputation (Technical Report)
- Cryptic Kultarr: Integrative Taxonomy Reveals Unrecognized Species of Carnivorous Marsupial (Dasyuridae: Antechinomys ) in Arid Australia
- Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations
- Examining caries aetiology in adolescence with structural equation modelling
- Multiple Imputation and Synthetic Data Generation with the R package NPBayesImputeCat
- Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models with Local Dependence
- Multivariate Density Estimation with Missing Data
- An adaptive AI-based virtual reality sports system for adolescents with excess body weight: a randomized controlled trial
- Meta-analysis of variation suggests that embracing variability improves both replicability and generalizability in preclinical research
- Hepatitis B virus is a stealth virus that minimizes proteomic and secretomic changes in primary human hepatocytes
- STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
- Dietary patterns and exposure to non-persistent endocrine-disrupting chemicals during pregnancy
- Quantified Sleep: Machine learning techniques for observational n-of-1 studies
- Equity in College Physics Student Learning: a Critical Quantitative Intersectionality Investigation
- Confidence intervals for the area under the receiver operating characteristic curve in the presence of ignorable missing data
- A Quantitative Evaluation Framework for Missing Value Imputation Algorithms
- Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula
- A proxy-based approach for unmeasured confounding in electronic health records research
- A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines -- with Application to 3D Printing
- StandUPTV: a full-factorial optimization trial to reduce sedentary screen time among adults
- Interactions between infant characteristics and parenting factors rarely replicate across cohorts and developmental domains
- Dropout from trauma-focused treatment for PTSD in a naturalistic setting
- Disparities in Criminal Justice System Responses to First-Time Juvenile Offenders According to Indigenous Status
- Variational Autoencoder with Arbitrary Conditioning
- An atlas of exposome-phenome associations in health and disease risk
- LSM-2: Learning from Incomplete Wearable Sensor Data
- Does working memory moderate the effect of fading on math performance?
- Effect of the number of door openings in the operating room on surgical site infections: individual-patient data meta-analysis
- Cluster analysis and outlier detection with missing data
- Generative Artificial Intelligence (GenAI) in the research process – A survey of researchers’ practices and perceptions
- Cumulative Logit Ordinal Regression with Proportional Odds under Nonignorable Missing Response -- Application to Phase III Trial
- Imputation and missing indicators for handling missing data in the development and deployment of clinical prediction models: A simulation study
- Bewertung einer prozessbegleitenden Qualifizierung zur inklusiven Schul- und Unterrichtsentwicklung durch die teilnehmenden Lehrkräfte
- Survey Experience and Nonresponse in an Online Probability Panel: A Survival Analysis
- No Evidence for the Evolutionary Resource Hypothesis as an Explanation of the Gender-Equality Paradox
- Maximum Likelihood for Logistic Regression Model with Incomplete and Hybrid-Type Covariates
- Missing data analysis and imputation via latent Gaussian Markov random fields
- CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
- MoCA: Multi-modal Cross-masked Autoencoder for Time Series in Digital Health
- Cost-Efficient Early Diagnostic Tool for Lung Cancer: Explainable AI in Clinical Systems
- A flexible and efficient algorithm for joint imputation of general data
- How much formalization of assessment methods is useful when implementing formative assessment in second grade mathematics classrooms?
- Extremist ideology as a complex contagion: the spread of far-right radicalization in the United States between 2005-2017
- Decentralized mobility hubs in urban residential neighborhoods improve the contribution of carsharing to sustainable mobility: findings from a quasi-experimental study
- A New Robust Network Slack Based Measure Model
- InfoColorizer: Interactive Recommendation of Color Palettes for Infographics
- Missing Data in Clinical Research: A Tutorial on Multiple Imputation
- Social and emotional competencies as predictors of student engagement in youth: a cross-cultural multilevel study
- Shared community history strengthens plant diversity effects on below‐ground multitrophic functioning
- IMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
- A systematic review and Bayesian meta-analysis of the development of turn taking in adult–child vocal interactions
- Context-Driven Data Mining through Bias Removal and Data Incompleteness Mitigation
- Aesthetic experiences across visual perception and mental imagery: Behaviorally indistinguishable, neurally distinct
- Model Agnostic Differentially Private Causal Inference
- Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
- Importance Sampling with the Integrated Nested Laplace Approximation
- Registered report: Cognitive ability, but not cognitive reflection, predicts expressing greater political animosity and favouritism
- Data Fusion for Joining Income and Consumption Information Using Different Donor-Recipient Distance Metrics
- Association between experiences of advanced cancer patients at the end of life and depression in their bereaved caregivers
- Cognitive individual differences are key in the network of trait covariance
- Wide diversity in narrow geographic space: genetic, morphological and ploidy variation in three Central European Crataegus species with emphasis on their reproductive modes
- Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
- Optimal Transport with Heterogeneously Missing Data
- Through Thick and Thin: Comparing Traditional Qualitative Analysis and Natural Language Processing Techniques Using Narrative Data from Police Officers
- Estimating complex causal effects from incomplete observational data
- The Mayo MGRS Prediction Tool calculates the risk of finding monoclonal gammopathy of renal significance in a kidney biopsy in patients with monoclonal gammopathy
- Goodness (of fit) of Imputation Accuracy: The GoodImpact Analysis
- A Whole‐Population Comparative Study of the School Experience and Its Association With Depressive Symptoms Among Immigrant‐Origin and Native Preadolescents
- Can norm‐based information campaigns reduce corruption?
- Smart but Evil? Student-Teachers’ Perception of Educational Researchers’ Epistemic Trustworthiness
- Addition of Macrolide Antibiotics for Hospital Treatment of Community-Acquired Pneumonia
- Does diet quality moderate the long-term effects of discrete but extreme PM2.5 exposure on respiratory symptoms? A study of the Hazelwood coalmine fire
- Respiratory symptoms after coalmine fire and pandemic: a longitudinal analysis of the Hazelwood Health Study adult cohort
- Cortical Auditory Processing of Simple Stimuli Is Altered in Autism: A Meta-analysis of Auditory Evoked Responses
- Longitudinal associations between fruit and vegetable intakes and depressive symptoms in middle-aged and older adults from four international twin cohorts
- Factors influencing dock-less E-bike-share mode substitution: Evidence from Sacramento, California
- The Impact of COVID‐19 on Adolescents’ Daily Lives: The Role of Parent–Child Relationship Quality
- Mental health is positively associated with biodiversity in Canadian cities
- Cognitive Change and Relaxation as Key Mechanisms of Treatment Outcome in Chronic Pain: Evidence From Routine Care
- A Review of Missing Data Reporting Practices in the Field of Internationalization of Higher Education
- Missing Data Imputation by Reducing Mutual Information with Rectified Flows
- ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
- A Copula-based Imputation Model for Missing Data of Mixed Type in Multilevel Data Sets
- Developmental trajectories of internalizing problems among individuals born very preterm/very low birthweight: early risk and resilience factors
- Efficient Uncertainty Propagation in Bayesian Two-Step Procedures
- Multiple imputation in functional regression with applications to EEG data in a depression study
- Diversity, integration, and variability of intergenerational relationships in old age: New insights from personal network research
- Sequential Hierarchical Regression Imputation
- The Prevalence and Characteristics of Children With Profound Autism, 15 Sites, United States, 2000-2016
- Do Open-Science Badges Increase Trust in Scientists Among Undergraduates, Scientists, and the Public?
- An Unsupervised Homogenization Pipeline for Clustering Similar Patients using Electronic Health Record Data
- Population-based RCT of a digital cognitive-behavioural guided self-help intervention for anxiety, depression and eating disorders in college students
- Flexible High-Dimensional Unsupervised Learning with Missing Data
- Frontolimbic Connectivity and Threat‐Related Psychopathology: A Data‐Driven Test of Models of Early Adversity
- DPER: Efficient Parameter Estimation for Randomly Missing Data
- Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
- A study on the impact of open doors: investigating the influence of short leave and open prison on recidivism rates
- Young People With and Without Intellectual Disability Accessing Mental Health Services: Evaluating Psychosocial Functioning Outcomes Using Electronic Health Records
- Enhancing Data Completeness in Time Series: Imputation Strategies for Missing Data Using Significant Periodically Correlated Components
- Multiple imputation for continuous variables using a Bayesian principal component analysis
- Processing of missing data by neural networks
- Furosemide and Serum Protein-Bound Uremic Toxin Concentrations in Patients With CKD
- Networks of guilt, shame, pride, and disordered eating in youths show stability over time
- Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality
- Comparative effectiveness of oral anticoagulants in venous thromboembolism: GARFIELD-VTE
- HMLasso: Lasso with High Missing Rate
- Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
- Semiparametric fractional imputation using Gaussian mixture models for handling multivariate missing data
- Learning Disentangled Representations of Video with Missing Data
- Raising Readers with Ready To Learn: A six-year follow-up to an early educational computer game intervention
- NAOMI: Non-Autoregressive Multiresolution Sequence Imputation
- Can the virtual implementation of a college course on human flourishing improve student flourishing during COVID-19? A multi-university study
- Correlates of rediscovery and the detectability of extinction in mammals
- CURE-like, not cure-all: Varying broad relevance in experimentation labs produces similar student outcomes
- Generation length for mammals
- A critical comparison of handling zeros in high-dimensional compositional count data
- Surgical outcomes in nonagenarian versus octogenarian patients: a propensity-matched analysis with implications for shared decision-making
- Testing hypotheses of marsupial brain size variation using phylogenetic multiple imputations and a Bayesian comparative framework
- Speciation, range contraction and extinction in the endemic New Zealand King Shag complex
- PAIR-CI: Calibrated Conditional Independence Testing for Causal Discovery with Incomplete Data
- Developing a synthetic national population to investigate the impact of different cardiovascular disease risk management strategies: A derivation and validation study
- bigMICE: Multiple Imputation of Big Data
- Development of different motivational cost component classes in university courses: group specific trajectories and later examination behavior
- Simulation of Transformer With Aging Insulation and Incipient Faults
- An introduction to R package `mvs`
- ToPs: Ensemble Learning With Trees of Predictors
- Predicting foreign language skills based on first languages: The role of lexical distance and relative morphological complexity
- Valued Living in Daily Experience: Relations with Mindfulness, Meaning, Psychological Flexibility, and Stressors
- Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)
- Disparity among venom components, and morphometrics in Centruroides baergi Hoffmann, 1932, a medically relevant scorpion species from Mexico
- Sequential Hierarchical Regression Imputation with Variable Selection Routines
- Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors
- Deep learning with missing data
- Are the Unified Protocols for Transdiagnostic Treatment of Emotional Disorders in Children and Adolescents as Effective for OCD as for Anxiety and Depression?
- Probabilistic preference learning with the Mallows rank model
- Estimates of the HIV undiagnosed population in Belgium reveals higher prevalence for MSM with foreign nationality and for geographic areas hosting big cities
- Imputation Strategies for Clustering Mixed-Type Data with Missing Values
- Target Trial Emulation to Incorporate Real-World Data in the Estimation of the Clinical and Cost-Effectiveness of Biologic Treatment
- Evaluating the performance of satellite/reanalysis rainfall products for simulating rainfall extremes in the Jemma sub-basin, Ethiopia
- Joint Multiple Imputation of Node Attributes and Network Ties in R
- nonprobsvy -- An R package for modern methods for non-probability surveys
- Satisfied and Secured—An Integration of Self-Determination Theory and Attachment Theory in the Environmental Domain
- Five‐Year Unified Risk Prediction Model for Gastric and Esophageal Cancer Based on Nationwide Health Check‐Up Data in Japan: J‐GESS Score
- Temporal Dynamic Embedding for Irregularly Sampled Time Series
- On the influence of dependent features in classification problems: A game-theoretic perspective
- Obsessive–compulsive symptoms in eating disorders: A network investigation
- Real-world implementation of pertuzumab from 2013 to 2023 for de Novo HER2-positive metastatic breast cancer in the Netherlands: a population-based study
Discussions
Related