Title: High Dimensional Survival Data Analysis
Description: High dimensional time to events data analysis with variable selection technique.
Currently support LASSO, clustering and Bonferroni's correction.
Imports: survival, utils, Rdpack (>= 0.7), readr, tidyverse, glmnet,

Title: Analysis of Proportional Hazards Model with Sparse Longitudinal
Author: Hongyuan Cao, Mathew M. Churpek, Donglin Zeng, Jason P. Fine, and Shannon T. Holloway
Description: Kernel weighting methods for estimation of proportional hazards models with intermittently observed longitudinal covariates.

Description: Provides kernel weighting methods for estimation of proportional hazards models with intermittently observed longitudinal covariates. Cao H., Churpek M. M., Zeng D., and Fine J. P. (2015) <doi:10.1080/01621459.2014.957289>.

Author: Hongyuan Cao, Mathew M. Churpek, Donglin Zeng, Jason P. Fine, and
Description: Provides kernel weighting methods for estimation of proportional
hazards models with intermittently observed longitudinal covariates.
Cao H., Churpek M. M., Zeng D., and Fine J. P. (2015)

Title: Multiple Imputation Method in Survival Analysis
Imports: survival (>= 3.1.11), zoo, stats, graphics, base
Authors@R: c(person("Yiming","Chen", email = "yimingc1208@gmail.com",role = c("aut", "cre")), person("John", "Lawrence", role="ctb"))
Description: In clinical trials, endpoints are sometimes evaluated with uncertainty. Adjudication is commonly adopted to ensure the study integrity. We propose to use multiple imputation (MI) introduced by Robin (1987) <doi:10.1002/9780470316696> to incorporate these uncertainties if reasonable event probabilities were provided. The method has been applied to Cox Proportional Hazard (PH) model, Kaplan-Meier (KM) estimation and Log-rank test in this package. Moreover, weighted estimations discussed in Cook (2004) <doi:10.1016/S0197-2456(00)00053-2> were also implemented with weights calculated from event probabilities. In conclusion, this package can handle time-to-event analysis if events presented with uncertainty by different methods.
Packaged: 2020-07-10 16:15:25 UTC; Yiming.Chen