- The Impact of Sample Size and Other Factors When Estimating Multilevel Logistic Models
2015/08/19 by Jason A. Schoeneberger · 16 citations
Decision Sciences · Engineering · Mathematics · #Analysis of covariance #Binary data #Binary number #Component (thermodynamics) #Confidence interval #Covariance #Econometrics #Engineering #Estimation #Interval estimation #Logistic regression #Mathematics #Meta-analysis #Monte Carlo method #Multilevel model #Outcome (game theory) #Psychometric Methodologies and Testing #Random effects model #Sample (material) #Sample size determination #Statistical Methods and Applications #Statistical Methods and Bayesian Inference #Statistics #Variance (accounting) #Variance components
- Approximate is Better than “Exact” for Interval Estimation of Binomial Proportions
1998/05/01 by Alan Agresti, Brent A. Coull · 1 voice · 151 citations
Mathematics · #Advanced Statistical Methods and Models #Binomial (polynomial) #Binomial distribution #Binomial proportion confidence interval #Combinatorics #Confidence interval #Coverage probability #Interval (graph theory) #Interval estimation #Mathematics #Negative binomial distribution #Nominal level #Poisson distribution #Sample (material) #Sample size determination #Score test #Sequential probability ratio test #Standard error #Statistical Methods and Bayesian Inference #Statistical hypothesis testing #Statistics #Statistics Education and Methodologies #Tolerance interval #Wald test