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- W3016393907 abstract "Random double truncation refers a situation in which the variable of interest is observed only when it falls within two random limits. Such phenomenon occurs in many applications of Survival Analysis and Epidemiology, among many other fields. There exist several R packages to analyze doubly truncated data which implement, for instance, estimators for the cumulative distribution, the cumulative incidences of competing risks, or the regression coefficients in the Cox model. In this paper the main features of these packages are reviewed. The relative merits of the libraries are illustrated through the analysis of simulated and real data. This includes the study of the statistical accuracy of the implemented techniques as well as of their computational speed. Practical recommendations are given." @default.
- W3016393907 created "2020-04-24" @default.
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- W3016393907 date "2020-04-19" @default.
- W3016393907 modified "2023-09-27" @default.
- W3016393907 title "R packages for the statistical analysis of doubly truncated data: a review" @default.
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