Summary. In longitudinal clinical trials, when outcome variables at later time points are only defined for patients who survive to those times, the evaluation of the causal effect of treatment is complicated. In this paper, we describe an approach that can be used to obtain the causal effect of three treatment arms with ordinal outcomes in the presence of death using a principal stratification approach. We introduce a set of flexible assump-tions to identify the causal effect and implement a sensitivity analysis for non-identifiable assumptions which we parameterize parsimoniously. Methods are illustrated on quality of life data from a recent colorectal cancer clinical trial
A cancer diagnosis is part of a complex stochastic process, which involves patient's characteristics...
ii To my parents iv Estimating causal effects in clinical trials is often complicated by treatment n...
Clinical trials focusing on survival outcomes often allow patients in the control arm to switch to t...
Summary. In longitudinal clinical trials, when outcome variables at later time points are only defin...
In medical studies, there are many situations where the final outcomes are truncated by death, in wh...
This paper considers the analysis of longitudinal data complicated by the fact that during follow-up...
This dissertation focuses on modern causal inference under uncertainty and data restrictions, with a...
Researchers are often interested in treatment effects on outcomes that are only defined conditional ...
Much research in the social and health sciences aims to understand the causal relationship between a...
Principal stratification is a causal framework to analyse randomized experiments with a post-treatme...
This thesis considers three problems in causal inference. First, for the censoring by death problem,...
This thesis considers three problems in causal inference. First, for the censoring by death problem,...
Abstract Background Recently, the intervention calculus when the DAG is absent (IDA) method was deve...
In many medical studies, the outcome measure (such as quality of life, QOL) for some study participa...
The causal effect of a new medical treatment compared with a standard regimen is best assessed in a ...
A cancer diagnosis is part of a complex stochastic process, which involves patient's characteristics...
ii To my parents iv Estimating causal effects in clinical trials is often complicated by treatment n...
Clinical trials focusing on survival outcomes often allow patients in the control arm to switch to t...
Summary. In longitudinal clinical trials, when outcome variables at later time points are only defin...
In medical studies, there are many situations where the final outcomes are truncated by death, in wh...
This paper considers the analysis of longitudinal data complicated by the fact that during follow-up...
This dissertation focuses on modern causal inference under uncertainty and data restrictions, with a...
Researchers are often interested in treatment effects on outcomes that are only defined conditional ...
Much research in the social and health sciences aims to understand the causal relationship between a...
Principal stratification is a causal framework to analyse randomized experiments with a post-treatme...
This thesis considers three problems in causal inference. First, for the censoring by death problem,...
This thesis considers three problems in causal inference. First, for the censoring by death problem,...
Abstract Background Recently, the intervention calculus when the DAG is absent (IDA) method was deve...
In many medical studies, the outcome measure (such as quality of life, QOL) for some study participa...
The causal effect of a new medical treatment compared with a standard regimen is best assessed in a ...
A cancer diagnosis is part of a complex stochastic process, which involves patient's characteristics...
ii To my parents iv Estimating causal effects in clinical trials is often complicated by treatment n...
Clinical trials focusing on survival outcomes often allow patients in the control arm to switch to t...