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Recoverability of Causal Effects under Presence of Missing Data: a Longitudinal Case Study

Is Checking for Sequential Positivity Violations Getting You Down? Try sPoRT!

Causal Effect Estimation with TMLE: Handling Missing Data and Near-Violations of Positivity

A Diagnostic to Find and Help Combat Stochastic Positivity Issues - with a Focus on Continuous Treatments

Addressing Positivity Violations in Continuous Interventions through Data-Adaptive Strategies

Guidelines and Best Practices for the Use of Targeted Maximum Likelihood and Machine Learning When Estimating Causal Effects of Exposures on Time-To-Event Outcomes

Causal Inference for Continuous Multiple Time Point Interventions

Causal Fair Machine Learning via Rank-Preserving Interventional Distributions

Doubly Robust Estimation of Average Treatment Effects on the Treated through Marginal Structural Models

Introduction to Statistics and Data Analysis - With Exercises, Solutions and Applications in R (Second updated and extended edition)

Our introcutory book contains a comprehensive and thorough overview of fundamental statistical concepts such as hypothesis testing, inference and regression; and each chapter is accompanied by a wealth of exercises and solutions.