Incorporate various statistics and layout customization options to enhance the efficiency and adaptability of the Kaplan-Meier plots.

An interactive 'shiny' application for sample size and power
    calculation under general conditions for clinical trials with survival
    endpoints. Implements the weighted log-rank method of Lu (2021)
    <doi:10.1002/pst.2069> via the 'lrstat' package, supporting
    non-proportional hazards, delayed treatment effects, unequal allocation
    and dropout, as well as the classic method of Freedman (1982)
    <doi:10.1002/sim.4780010204> via the 'powerSurvEpi' package. Results are
    presented interactively with survival curves and event-prediction
    timelines.

Performs a dual-parameter sensitivity analysis of treatment effect to unmeasured confounding in observational studies with either survival or competing risks outcomes. Huang, R., Xu, R. and Dulai, P.S.(2020) <doi:10.1002/sim.8672>.

Simulation of simple and complex survival data including recurrent and multiple events and competing risks. See Moriña D, Navarro A. (2014) <doi:10.18637/jss.v059.i02> and Moriña D, Navarro A. (2017) <doi:10.1080/03610918.2016.1175621>.

Conduct asymptotic and empirical power and sample size calculations for Single-Nucleotide Polymorphism (SNP) association studies with right censored time to event outcomes.

Survival analysis with sparse longitudinal covariates under right censoring scheme. Different hazards models are involved. Please cite the manuscripts corresponding to this package:  Sun, Z. et al. (2022) <doi:10.1007/s10985-022-09548-6>, Sun, Z. and Cao, H. (2023)  <arXiv:2310.15877> and Sun, D. et al. (2023) <arXiv:2308.15549>.

Nonparametric estimation of Spearman's rank correlation with bivariate survival (right-censored) data as described in Eden, S.K., Li, C., Shepherd B.E. (2021), Nonparametric Estimation of Spearman's Rank Correlation with Bivariate Survival Data, Biometrics (under revision). The package also provides functions that visualize bivariate survival data and bivariate probability mass function.