Causal Inference Workshop

University of Otago

23-24 November 2023

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Instructor

Michael G Hudgens PhD

Professor and Chair of Biostatistics

University of North Carolina at Chapel Hill

mhudgens@bios.unc.edu

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Causal Inference: What if by H&R

Workshop schedule

Lecture Notes Introduction 1 A definition of causal effect 2 Randomized experiments 3 Observational studies 4 Effect modification 5 Interaction 6 DAGs 7 Confounding 8 Selection bias 9 Measurement bias 10 Random variability 11 Why model? 12 Marginal structural models 13 Parametric g-formula 14 Structural nested models 15 Outcome reg. & p-scores 16 Instrument variables 17 Causal survival analysis

Data and Code NHEFS data codebook sas7bdat xls csv 11 Introduction R SAS Stata 12 Marg. structural models R SAS Stata 13 Parametric g-formula R SAS Stata 14 Structural nested models R SAS Stata 15 Outcome reg. & p-scores R SAS Stata 16 Instrumental variables R SAS Stata 17 Causal survival R SAS Stata

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