Statistical inference in matched case-control studies of recurrent events.,International Journal of Epidemiology

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Statistical inference in matched case-control studies of recurrent events.
International Journal of Epidemiology ( IF 6.4 ) Pub Date : 2020-03-03 , DOI: 10.1093/ije/dyaa012
Yin Bun Cheung _{1,

2,

3} , Xiangmei Ma ₂ , K F Lam _{2,

4} , Jialiang Li ₅ , Chee Fu Yung ₆ , Paul Milligan ₇ , Grant Mackenzie _{8,

9,

10,

11}

Affiliation

Signature Programme in Health Services & Systems Research, Duke-NUS Medical School, Singapore 169857.
Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore 169856.
Center for Child Health Research, University of Tampere and Tampere University Hospital, Tampere 33520, Finland.
Department of Statistics and Actuarial Science, University of Hong Kong, Hong Kong, China.
Department of Statistics and Applied Probability, National University of Singapore, Singapore 117546.
Infectious Disease Service, KK Women's and Children's Hospital, Singapore 229899.
Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
Medical Research Council Unit The Gambia at London School of Hygiene & Tropical Medicine, PO Box 273, Fajara, The Gambia.
New Vaccines Group, Murdoch Children's Research Institute, Melbourne, Victoria 3052, Australia.
Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
Department of Paediatrics, University of Melbourne, Parkville, VIC 3010, Australia.

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.

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