Case series analysis for censored, perturbed, or curtailed post-event exposures.
A new method is developed for analyzing case series data in situations where occurrence of the event censors, curtails, or otherwise affects post-event exposures. Unbiased estimating equations derived from the self-controlled case series model are adapted to allow for exposures whose occurrence or observation is influenced by the event. The method applies to transient point exposures and rare nonrecurrent events. Asymptotic efficiency is studied in some special cases. A computational scheme based on a pseudo-likelihood is proposed to make the computations feasible in complex models. Simulations, a validation study, and 2 applications are described.
Farrington
C Paddy
CP
Department of Mathematics and Statistics, The Open University, Milton Keynes MK7 6AA, UK. c.p.farrington@open.ac.uk
Whitaker
Heather J
HJ
Hocine
Mounia N
MN
D000465:Algorithms; D001699:Biometry / Q000379:methods; D002986:Clinical Trials as Topic / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D015994:Incidence; D015993:Life Tables; D016013:Likelihood Functions; D015233:Models, Statistical; D012107:Research Design / Q000706:statistics & numerical data; D018570:Risk Assessment / Q000379:methods; D013997:Time Factors