c(
person("Daniela", "Dunkler", email="daniela.dunkler@meduniwien.ac.at", role=c("aut", "cre")),
person("Georg", "Heinze", role="aut"),
person("Meinhard", "Ploner", role="aut"))
Daniela Dunkler [aut, cre],
Georg Heinze [aut],
Meinhard Ploner [aut]

Fit Robustly Proportional Hazards Regression Model
c(person("Tadeusz",
"Bednarski",
email = "t.bednarski@prawo.uni.wroc.pl",
role = c("aut")),
person("Filip",
"Borowicz",
email = "f.borowicz@prawo.uni.wroc.pl",
role = c("aut")),
person("Shana",
"Scogin",
email = "shanarscogin@gmail.com",
role = c("cre"),
comment = c(ORCID = "0000-0002-7801-853X")))
An implementation of robust estimation in Cox model. Functionality includes fitting efficiently and robustly Cox proportional hazards regression model in its basic form, where explanatory variables are time independent with one event per subject.  Method is based on a smooth modification of the partial likelihood.
Tadeusz Bednarski [aut],
Filip Borowicz [aut],
Shana Scogin [cre] (<https://orcid.org/0000-0002-7801-853X>)

Fit robustly proportional hazards regression model
Tadeusz Bednarski <t.bednarski@prawo.uni.wroc.pl>, Filip
Borowicz <f.borowicz@prawo.uni.wroc.pl>

Cox Proportional Hazards Regression for Right Truncated Data
Bella Vakulenko-Lagun, Micha Mandel, Rebecca A. Betensky
Fits Cox regression based on retrospectively ascertained times-to-event. The method uses Inverse-Probability-Weighting estimating equations.

Cox Proportional Hazards Regression for Right-Truncated Data

survival, BB, inline, gss, ggplot2, Rcpp

It fits a CoxSEI (Cox type Self-Exciting Intensity) model to right-censored counting process data.

Fit a CoxSEI (Cox type Self-Exciting Intensity) model to right-censored counting process data.

Quentin Giai Gianetto, Florence Combes, Yohann Couté, Christophe Bruley, Thomas Burger
Functions to check whether a vector of p-values respects the assumptions of FDR (false discovery rate) control procedures and to compute adjusted p-values.

R (>= 3.2.0), MESS, graphics, stats, multtest, qvalue, limma