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A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R

Statistical science in the courtroom

Statistics for lawyers

Elements of adaptive testing

Optimization of Behavioral, Biobehavioral, and Biomedical Interventions : The Multiphase Optimization Strategy (MOST)

Multidimensional Item Response Theory

Practical Tools for Designing and Weighting Survey Samples

Applied multiple imputation : advantages, pitfalls, new developments and applications in R

A course on small area estimation and mixed models : methods, theory and applications in R

Multidimensional item response theory

Configural frequency analysis : foundations, models, and applications

Explanatory Item Response Models : A Generalized Linear and Nonlinear Approach

The Basics of Item Response Theory Using R

Bayesian Item Response Modeling : Theory and Applications

The basics of item response theory using R

Introduction to applied Bayesian statistics and estimation for social scientists

Missing data and small-area estimation : Modern analytical equipment for the survey statistician

Marginal models : for dependent, clustered, and longitudinal categorical data

Ordinal Data Modeling

The Kernel Method of Test Equating

Practical Considerations in Computer-Based Testing

Statistics for lawyers

Majorization and the Lorenz Order with Applications in Applied Mathematics and Economics

Advances in meta-analysis

Ordinal Data Modeling

Bayesian item response modeling: theory and applications

Explanatory item response models : a generalized linear and nonlinear approach

Living standards analytics : development through the lens of household survey data

Living Standards Analytics : Development through the Lens of Household Survey Data

Linear models for optimal test design

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