Chapman & Hall/CRC Interdisciplinary Statistics – serie

Flexible Imputation of Missing Data, Second Edition

Statistical and Econometric Methods for Transportation Data Analysis

Bayesian Modeling of Spatio-Temporal Data with R

Mendelian Randomization

Methods for Causal Inference Using Genetic Variants

Statistical and Computational Pharmacogenomics

Meta-analysis of Binary Data Using Profile Likelihood

Statistics for Fission Track Analysis

Invariant Approach to Statistical Analysis of Shapes

Parameter Redundancy and Identifiability

Survival Analysis with Interval-Censored Data

A Practical Approach with Examples in R, SAS, and BUGS

Modern Directional Statistics

Statistical Detection and Surveillance of Geographic Clusters

Statistical Methods in Psychiatry and Related Fields

Longitudinal, Clustered, and Other Repeated Measures Data

Applied Directional Statistics

Modern Methods and Case Studies

Data Book

Collection and Management of Research Data

Missing Data Analysis in Practice

Bayesian Disease Mapping

Hierarchical Modeling in Spatial Epidemiology, Third Edition

Correspondence Analysis in Practice

Power Analysis of Trials with Multilevel Data

Statistics for Environmental Biology and Toxicology

Invariant Approach to Statistical Analysis of Shapes

Mendelian Randomization

Methods for Causal Inference Using Genetic Variants

Model-based Geostatistics for Global Public Health

Methods and Applications

Design of Experiments for Generalized Linear Models

Capture-Recapture Methods for the Social and Medical Sciences

Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models

Theory and Case Studies in R and NIMBLE

Statistical Methods in Epilepsy

Bayesian Modeling of Spatio-Temporal Data with R

Statistical Analysis of Questionnaires

A Unified Approach Based on R and Stata