Labs & Assignments

Discussion Assignments

Answers to assignments are available upon request.

Discussion Assignment 1

For two redacted real studies, apply the first steps of the roadmap to (i) specify the scientific question, (ii) represent knowledge with a SCM, and (iii) specify the target causal parameter.

Discussion Assignment 2

For the same studies, specify the observed data, assess identifiability, specify the statistical estimand, and discuss the needed positivity assumption.

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R Labs

R Lab 1

Defining the causal parameter and introduction to simulations in R

R Lab 2

Identifiability, linking the observed data to the causal model, and implementation of the simple substitution estimator based on the G-computation formula

R Lab 3

Cross-validation and data-adaptive methods for prediction

Data set

R Wrappers

R Lab 4

Inverse probability of treatment weighting (IPTW) estimators and the impact of positivity violations

Data set

R Lab 5

Targeted maximum likelihood estimation (TMLE)

Data set

R Lab 6

Inference with the non-parametric bootstrap and with influence curves for TMLE

Data set

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R Homework

Answers to R Assignments are available upon request.

R Assignment 1

Defining the causal parameter & introduction to simulations in R

R Assignment 2

Identifiability, linking the observed data to the causal model, and implementation of the simple substitution estimator based on the G-computation formula

R Assignment 3

Cross-validation and data-adaptive methods for prediction

Data set

R Wrappers

R Assignment 4

Inverse probability of treatment weighting (IPTW) estimators and the impact of positivity violations

Data set

Please reload