# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "survdt" in publications use:' type: software license: GPL-3.0-or-later title: 'survdt: Improved Methods for Survival Analysis under Double Truncation' version: 0.9.0 identifiers: - type: doi value: 10.32614/CRAN.package.survdt abstract: Contains existing and novel methods for nonparametric analysis and Cox regression analysis with doubly truncated survival data, as described in Vazquez and Xie (2025) . 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. authors: - family-names: Vazquez given-names: Omar email: omar.vazquez@pennmedicine.upenn.edu orcid: https://orcid.org/0009-0009-4137-3333 preferred-citation: type: manual title: 'survdt: Improved Methods for Survival Analysis under Double Truncation' authors: - family-names: Vazquez given-names: Omar email: omar.vazquez@pennmedicine.upenn.edu orcid: https://orcid.org/0009-0009-4137-3333 year: '2026' notes: R package version 0.9.0 repository: https://cran.r-universe.dev commit: a06e20567d9728c6da7ea7af4584d40325e54778 date-released: '2026-05-06' contact: - family-names: Vazquez given-names: Omar email: omar.vazquez@pennmedicine.upenn.edu orcid: https://orcid.org/0009-0009-4137-3333 references: - type: article title: Robust inverse probability weighted estimators for doubly truncated Cox regression with closed-form standard errors authors: - family-names: Vazquez given-names: Omar - family-names: Xie given-names: Sharon X. journal: Lifetime Data Analysis year: '2025' doi: 10.1007/s10985-025-09650-5