Daniel J. Schad
- How to capitalize on a priori contrasts in linear (mixed) models: A\n tutorial
2018/07/27 by Daniel J. Schad, Schad, Daniel J., Shravan Vasishth +5 · 9 citations
Computer Science · Psychology · #Advanced Statistical Modeling Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Mental Health Research Topics #Methodology (stat.ME)
- How to capitalize on a priori contrasts in linear (mixed) models: A tutorial
2019/10/11 by Daniel J. Schad, Shravan Vasishth, Sven Hohenstein +1 · 10 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference #Data Analysis with R #Multi-Criteria Decision Making #Reliability and Agreement in Measurement #Statistical Methods and Bayesian Inference
- Workflow Techniques for the Robust Use of Bayes Factors
2021/03/15 by Daniel J. Schad, Bruno Nicenboim, Schad, Daniel J. +7 · 5 citations
Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Methodology (stat.ME) #Scientific Computing and Data Management
- VIBE: Video-Input Brain Encoder for fMRI Response Modeling
2025/07/23 by Daniel J. Schad, Daniel Carlström Schad, Schad, Daniel Carlström +11 · 1 voice · 3 citations
Neuroscience · #EEG and Brain-Computer Interfaces #Functional Brain Connectivity Studies #cs.AI #cs.CV #cs.LG
- How can we make sound replication decisions?
2025/01/27 by Clintin P. Davis‐Stober, Alexandra Sarafoglou, Balázs Aczél +15 · 1 voice · 1 citation
Decision Sciences · #Meta-analysis and systematic reviews #scientometrics and bibliometrics research #Scientific Computing and Data Management