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Developing novel methods to study drug safety and effectiveness
514.934.1934 ext.44844
McGill University Health Centre
Longitudinal cohort designs (with three or more measurement occasions) are invaluable to investigate between- and within-individual variation in outcomes. However, traditional longitudinal designs require a lengthy implementation and data collection period and impose a substantial burden on participants and investigators. We discuss alternative longitudinal designs, including planned missing data designs and retrospective cohort studies with secondary data, which require a shorter period for data accrual and reduce participant burden while maintaining statistical power. We also discuss analysis strategies to maximize data use and produce unbiased estimates of treatment effectiveness, including models for recurrent or multistate events and time-varying covariates.
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File Size65.6 KiB
DateOctober 17, 2018
Downloads64
AuthorLim LSH, Feldman BM, Lix LM
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