On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder

非差分测量误差混杂因子导致偏倚衰减的一般条件

A general condition for bias attenuation by a nondifferentially mismeasured confounder

本文证明在非差分测量误差混杂因子下，调整测量误差混杂因子通常能减少因果效应估计偏倚，扩展了先前文献的适用条件。

On the Non-Monotonicity of a Non-Differentially Mismeasured Binary Confounder

Suppose that we are interested in the average causal effect of a binary treatment on an outcome when this relationship is confounded by a binary confounder. Suppose that the confounder is unobserved but a non-differential binary proxy of it is observed. We identify conditions under which adjusting for the proxy comes closer to the incomputable true average causal effect than not adjusting at all. Unlike other works, we do not assume that the average causal effect of the confounder on the outcome is in the same direction among treated and untreated.

Propensity score-based estimators with multiple error-prone covariates

Propensity score methods are an important tool to help reduce confounding in non-experimental studies. Most propensity score methods assume that covariates are measured without error. However, covariates are often measured with error, which leads to biased causal effect estimates if the true underlying covariates are the actual confounders. Although some studies have investigated the impact of a single mismeasured covariate on estimating a causal effect and proposed methods for handling the measurement error, almost no work exists investigating the case where multiple covariates are mismeasure…

Trial emulation and survival analysis for disease incidence registers: a case study on the causal effect of pre-emptive kidney transplantation

Numerous tutorials and research papers focus on methods in either survival analysis or causal inference, leaving common complications in medical studies unaddressed. In practice one must handle problems jointly, without the luxury of ignoring essential features of the data structure. In this paper, we follow incident cases of end-stage renal disease and examine the effect on all-cause mortality of starting treatment with transplant, so-called pre-emptive kidney transplantation, versus dialysis. The question is relatively simple: which treatment start is expected to bring the best survival for …