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Mendelian Randomization : Methods for Causal Inference Using Genetic Variants

Markov chain Monte Carlo in practice

Statistical and probabilistic methods in actuarial science - 0

Measurement error and misclassification in statistics and epidemiology: impacts and Bayesian adjustments

Statistical analysis of gene expression microarray data

Statistical analysis of gene expression microarray data

Modern directional statistics

Parameter Redundancy and Identifiability

Statistical and Econometric Methods for Transportation Data Analysis

Graphical analysis of multi-response data

Modern directional statistics

Applied Directional Statistics: Modern Methods and Case Studies

Age-period-cohort analysis: new models, methods, and empirical applications

Introduction to Computational Biology: Maps, Sequences and Genomes : Interdisciplinary Statistics

Analysis of capture-recapture data - 33

Spatial point patterns: methodology and applications with R

Missing data analysis in practice

Design of experiments for generalized linear models

Design of experiments for generalized linear models

Compositional Data Analysis in Practice

Compositional data analysis in practice

Statistical and econometric methods for transportation data analysis.

Mendelian Randomization: Methods for Causal Inference Using Genetic Variants

Mendelian randomization: methods for causal inference using genetic variants

Bayesian Modeling of Spatio-Temporal Data With R

Bayesian Modeling of Spatio-Temporal Data With R

Model-based geostatistics for global public health: methods and applications

Model-based geostatistics for global public health: methods and applications

Applied directional statistics: modern methods and case studies

Measurement error: models, methods, and applications

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