Methodological obstacles in causal inference: confounding, missing data, and measurement error

Author(s):
Penning de Vries, B.B.L.
Published
2022
Publication type
Doctoral Thesis

Abstract

This thesis describes studies on methods for answering questions about causality, specifically so-called what-if questions, in the presence of methodological obstacles such as confounding, missing data, and measurement error.

EpidemiologyCausal inferenceConfoundingMissing dataMeasurement errorCounterfactual outcomes
Defense date
2022-01-25
Language
English
Supervisor(s)
Groenwold, R.H.H.
Advisor(s)
Smeden, M. van
Committee member(s)
Cessie, S. le; Steyerberg, E.W.; Roes, K.C.B.; Klungel, O.H.
Qualification
Ph.D.
Degree granting institution
Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden
hdl
1887/3250835