Benefits of Repeated Matched-Cohort and Nested Case–Control Analyses with Time-dependent Exposure in Observational Studies
Md. Belal Hossain (),
Hubert Wong,
Mohsen Sadatsafavi,
James C. Johnston,
Victoria J. Cook and
Mohammad Ehsanul Karim
Additional contact information
Md. Belal Hossain: University of British Columbia
Hubert Wong: University of British Columbia
Mohsen Sadatsafavi: University of British Columbia
James C. Johnston: British Columbia Centre for Disease Control
Victoria J. Cook: British Columbia Centre for Disease Control
Mohammad Ehsanul Karim: University of British Columbia
Statistics in Biosciences, 2025, vol. 17, issue 3, No 7, 709-737
Abstract:
Abstract Matched-cohort and nested case–control (NCC) analyses have been proposed as dynamic matching methods for exposure occurring over time. However, these methods might produce noisier estimates due to their matching mechanism. The literature suggests the consideration of multiple controls to reduce the variability in the effect estimates. In the present study, by using simulations and data from a retrospective cohort (with a time-dependent exposure being tuberculosis and the outcome being cardiovascular disease), we showed that the hazard ratio (HR) estimates can be unstable regardless of the number of controls. Our case study revealed that the HRs might range from 1.64 to 2.32 in matched-cohort and 1.53 to 2.30 in NCC analyses. With a true HR of 2.0, simulation results showed that HR estimates range from 1.51 to 2.93 in matched-cohort and 1.30 to 3.23 in NCC analyses. To reduce the noise in HR estimates, we compared the matched-cohort and NCC analyses while varying the number of repeated samplings (repeating the analyses several times and pooling the results) for different numbers of controls. We showed that repeated analyses yield stable HR estimates similar to a full-cohort analysis under the proportional hazard assumption. The pooled HR was approximately 1.90 in our case study and approximately 2.0 in simulations when we repeated NCC analysis ≥ 10 times for any number of controls, and repeated the matched-cohort analyses ≥ 20 times with four or fewer or ≥ 10 times with more than four controls. We recommend using matched-cohort and NCC analyses with repeated samplings due to the benefits of using these methods in dealing with time-dependent exposure.
Keywords: Time-dependent exposure; Immortal time bias; Matched-cohort; Nested case–control; Pooled estimate (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s12561-024-09461-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:stabio:v:17:y:2025:i:3:d:10.1007_s12561-024-09461-6
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/12561
DOI: 10.1007/s12561-024-09461-6
Access Statistics for this article
Statistics in Biosciences is currently edited by Hongyu Zhao and Xihong Lin
More articles in Statistics in Biosciences from Springer, International Chinese Statistical Association
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().