Effects of sparse follow-up on marginal structural models for time-to-event data
Background: Survival time is a common parameter of interest that can be estimated by using Cox Proportional Hazards models when measured continuously. An alternative way to estimate hazard ratios is to cut up time into equal-lengthed intervals and consider the by-interval outcome to be 0 if the pers...
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Format: | Others |
Language: | en |
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McGill University
2012
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Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110690 |