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Article: Statistical inference in matched case–control studies of recurrent events
Title | Statistical inference in matched case–control studies of recurrent events |
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Authors | |
Keywords | Concurrent design logistic regression incidence density sampling matched case–control study |
Issue Date | 2020 |
Publisher | Oxford University Press. The Journal's web site is located at http://ije.oxfordjournals.org/ |
Citation | International Journal of Epidemiology, 2020, v. 49 n. 3, p. 996-1006 How to Cite? |
Abstract | Background: The concurrent sampling design was developed for case–control studies of recurrent events. It involves matching for time. Standard conditional logistic-regression (CLR) analysis ignores the dependence among recurrent events. Existing methods for clustered observations for CLR do not fit the complex data structure arising from the concurrent sampling design. Methods: We propose to break the matches, apply unconditional logistic regression with adjustment for time in quintiles and residual time within each quintile, and use a robust standard error for observations clustered within persons. We conducted extensive simulation to evaluate this approach and compared it with methods based on CLR. We analysed data from a study of childhood pneumonia to illustrate the methods. Results: The proposed method and CLR methods gave very similar point estimates of association and showed little bias. The proposed method produced confidence intervals that achieved the target level of coverage probability, whereas the CLR methods did not, except when disease incidence was low. Conclusions: The proposed method is suitable for the analysis of case–control studies with recurrent events. |
Persistent Identifier | http://hdl.handle.net/10722/288159 |
ISSN | 2023 Impact Factor: 6.4 2023 SCImago Journal Rankings: 2.663 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Cheung, YB | - |
dc.contributor.author | Ma, X | - |
dc.contributor.author | Lam, KF | - |
dc.contributor.author | Li, J | - |
dc.contributor.author | Yung, CF | - |
dc.contributor.author | Milligan, P | - |
dc.contributor.author | Mackenzie, G | - |
dc.date.accessioned | 2020-10-05T12:08:44Z | - |
dc.date.available | 2020-10-05T12:08:44Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | International Journal of Epidemiology, 2020, v. 49 n. 3, p. 996-1006 | - |
dc.identifier.issn | 0300-5771 | - |
dc.identifier.uri | http://hdl.handle.net/10722/288159 | - |
dc.description.abstract | Background: The concurrent sampling design was developed for case–control studies of recurrent events. It involves matching for time. Standard conditional logistic-regression (CLR) analysis ignores the dependence among recurrent events. Existing methods for clustered observations for CLR do not fit the complex data structure arising from the concurrent sampling design. Methods: We propose to break the matches, apply unconditional logistic regression with adjustment for time in quintiles and residual time within each quintile, and use a robust standard error for observations clustered within persons. We conducted extensive simulation to evaluate this approach and compared it with methods based on CLR. We analysed data from a study of childhood pneumonia to illustrate the methods. Results: The proposed method and CLR methods gave very similar point estimates of association and showed little bias. The proposed method produced confidence intervals that achieved the target level of coverage probability, whereas the CLR methods did not, except when disease incidence was low. Conclusions: The proposed method is suitable for the analysis of case–control studies with recurrent events. | - |
dc.language | eng | - |
dc.publisher | Oxford University Press. The Journal's web site is located at http://ije.oxfordjournals.org/ | - |
dc.relation.ispartof | International Journal of Epidemiology | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Concurrent design | - |
dc.subject | logistic regression | - |
dc.subject | incidence density sampling | - |
dc.subject | matched case–control study | - |
dc.title | Statistical inference in matched case–control studies of recurrent events | - |
dc.type | Article | - |
dc.identifier.email | Lam, KF: hrntlkf@hkucc.hku.hk | - |
dc.identifier.authority | Lam, KF=rp00718 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1093/ije/dyaa012 | - |
dc.identifier.pmid | 32125376 | - |
dc.identifier.pmcid | PMC7394959 | - |
dc.identifier.scopus | eid_2-s2.0-85089126777 | - |
dc.identifier.hkuros | 314782 | - |
dc.identifier.volume | 49 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 996 | - |
dc.identifier.epage | 1006 | - |
dc.identifier.isi | WOS:000593364900035 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0300-5771 | - |