Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methods.

ABSTRACT: Time-to-event data are right-truncated if only individuals who have experienced the event by a certain time can be included in the sample. For example, we may be interested in estimating the distribution of time from onset of disease symptoms to death and only have data on individuals who have died. This may be the case, for example, at the beginning of an epidemic. Right truncation causes the distribution of times to event in the sample to be biased towards shorter times compared to the population distribution, and appropriate statistical methods should be used to account for this bias. This article is a review of such methods, particularly in the context of an infectious disease epidemic, like COVID-19. We consider methods for estimating the marginal time-to-event distribution, and compa

SUBMITTER: Seaman SR 

PROVIDER: S-EPMC9465556 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature