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June 2020 Evidence factors in a case-control study with application to the effect of flexible sigmoidoscopy screening on colorectal cancer
Bikram Karmakar, Chyke A. Doubeni, Dylan S. Small
Ann. Appl. Stat. 14(2): 829-849 (June 2020). DOI: 10.1214/20-AOAS1329

Abstract

As in any observational study, in a case-control study a primary concern is potential unmeasured confounders. Bias, due to unmeasured confounders, can result in a false discovery of an apparent treatment effect when there is none. Replication of an observational study, which tries to provide multiple analyses of the data where the biases affecting each analysis are thought to be different, is one way to strengthen the evidence from an observational study. Evidence factors allow for internal replication by testing a hypothesis using multiple comparisons in a way that the comparisons yield independent evidence and differ in the sources of potential bias. We construct evidence factors in a case-control study in which there are two types of cases, “narrow” cases which are thought to be potentially more affected by the exposure and “marginal” cases which are thought to have more heterogeneous causes. We develop and study an inference procedure for using such evidence factors and apply it to a study of the effect of sigmoidoscopy screening on colorectal cancer.

Citation

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Bikram Karmakar. Chyke A. Doubeni. Dylan S. Small. "Evidence factors in a case-control study with application to the effect of flexible sigmoidoscopy screening on colorectal cancer." Ann. Appl. Stat. 14 (2) 829 - 849, June 2020. https://doi.org/10.1214/20-AOAS1329

Information

Received: 1 May 2018; Revised: 1 February 2020; Published: June 2020
First available in Project Euclid: 29 June 2020

zbMATH: 07239886
MathSciNet: MR4118331
Digital Object Identifier: 10.1214/20-AOAS1329

Rights: Copyright © 2020 Institute of Mathematical Statistics

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Vol.14 • No. 2 • June 2020
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