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survdt  

Improved Methods for Survival Analysis under Double Truncation
View on CRAN: Click here


Download and install survdt package within the R console
Install from CRAN:
install.packages("survdt")

Install from Github:
library("remotes")
install_github("cran/survdt")

Install by package version:
library("remotes")
install_version("survdt", "0.9.0")



Attach the package and use:
library("survdt")
Maintained by
Omar Vazquez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-06
Latest Update: 2026-05-06
Description:
Contains existing and novel methods for nonparametric analysis and Cox regression analysis with doubly truncated survival data, as described in Vazquez and Xie (2025) <doi:10.1007/s10985-025-09650-5>. Includes survival curves and hazard estimates through nonparametric maximum likelihood estimation, various tests for detecting group differences or non-ignorable sampling bias, and inverse probability weighted Cox regression with several options of nonparametric weights. Also implements diagnostics for key modeling assumptions such as quasi-independent truncation and the positivity assumption. Closed-form standard errors are available for all estimates, i.e. bootstrapping is not required.
How to cite:
Omar Vazquez (2026). survdt: Improved Methods for Survival Analysis under Double Truncation. R package version 0.9.0, https://cran.r-project.org/web/packages/survdt. Accessed 09 Oct. 2026.
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Complete documentation for survdt
Functions, R codes and Examples using the survdt R package
Full survdt package functions and examples
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