Accounting for recall bias in case-control studies: a causal inference approach

by   Kwonsang Lee, et al.

A case-control study is designed to help determine if an exposure is associated with an outcome. However, since case-control studies are retrospective, they are often subject to recall bias. Recall bias can occur when study subjects do not remember previous events accurately. In this paper, we first define the estimand of interest: the causal odds ratio (COR) for a case-control study. Second, we develop estimation approaches for the COR and present estimates as a function of recall bias. Third, we define a new quantity called the R-factor, which denotes the minimal amount of recall bias that leads to altering the initial conclusion. We show that a failure to account for recall bias can significantly bias estimation of the COR. Finally, we apply the proposed framework to a case-control study of the causal effect of childhood physical abuse on adulthood mental health.



There are no comments yet.


page 1

page 2

page 3

page 4


Multi-Source Causal Inference Using Control Variates

While many areas of machine learning have benefited from the increasing ...

A Test for Differential Ascertainment in Case-Control Studies with Application to Child Maltreatment

We propose a method to test for the presence of differential ascertainme...

The Identity Fragmentation Bias

Consumers interact with firms across multiple devices, browsers, and mac...

On Measurement Bias in Causal Inference

This paper addresses the problem of measurement errors in causal inferen...

Magnitude of selection bias in road safety epidemiology, a primer

In the field of road safety epidemiology, it is common to use responsibi...

Visualization of Tradeoff in Evaluation: from Precision-Recall & PN to LIFT, ROC & BIRD

Evaluation often aims to reduce the correctness or error characteristics...

Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness

The test-negative design (TND) has become a standard approach to evaluat...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.