Studienliteratur in Statistics

Survival Analysis with Interval-Censored Data

Flexible Regression and Smoothing

Handbook of Quantile Regression

Asymptotic Analysis of Mixed Effects Models

Statistical Analysis of Contingency Tables

Cluster Randomised Trials

Correspondence Analysis in Practice

Data Analysis Using Hierarchical Generalized Linear Models with R

Handbook of Item Response Theory

Clinical Trial Data Analysis Using R and SAS

Understanding Public Opinion Polls

Statistical Regression and Classification

Errors, Blunders, and Lies

Extreme Value Modeling and Risk Analysis

Innovative Statistics in Regulatory Science

Large Covariance and Autocovariance Matrices

Practical Longitudinal Data Analysis

Signal Detection for Medical Scientists

Data Science with R for Psychologists and Healthcare Professionals

Modern Applied Regressions

Innovative Methods for Rare Disease Drug Development

Optimal Design for Nonlinear Response Models

Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials

Optimal Decision Making in Operations Research and Statistics