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The effect : an introduction to research design and causality

Statistical rethinking : a Bayesian course with examples in R and Stan

Foundations of statistics for data scientists : with R and Python

Time series : modeling, computation, and inference

Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models

Generalized additive models : an introduction with R

Modern data science with R

Statistics for engineering and the sciences

Simple statistical tests for geography

Data mining : a tutorial-based primer

Introduction to data science : data analysis and prediction algorithms with R

A pen and paper introduction to statistics

Bayesian nonparametrics for causal inference and missing data

Bayesian modeling and computation in Python

Mathematical statistics : basic ideas and selected topicsVolume II

Discrete Data Analysis with R : Visualization and Modeling Techniques for Categorical and Count Data

Learning microeconometrics with R

Bayesian regression modeling with INLA

Exploratory data analysis with MATLAB

Analysis of incidence rates

Bayesian precision medicine

Linear mixed models : a practical guide using statistical software

A first course in machine learning

Applied meta-analysis with R and Stata

Data science and analytics strategy : an emergent design approach

Supervised machine learning for text analysis in R

Sample size calculations in clinical research

Pricing in general insurance

Mendelian randomization : methods for causal inference using genetic variants

Statistics and data visualisation with Python

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