gast

A two-arm gastric carcinoma clinical trial: ninety patients with locally advanced, non-resectable gastric carcinoma received either chemotherapy alone (N = 45) or chemotherapy plus radiation (N = 45).

datasets

An omnibus test of change-point Cox regression models to improve the statistical power of detecting signals of non-proportional hazards patterns. The technical details can be found in Hong Zhang, Qing Li, Devan Mehrotra and Judong Shen (2021) <arXiv:2101.00059>. Extensive simulation studies demonstrate that, compared to existing tests under non-proportional hazards, the proposed CauchyCP test 1) controls the type I error better at small alpha levels; 2) increases the power of detecting time-varying effects; and 3) is more computationally efficient.

Hong Zhang

CauchyCP

Powerful Test for Survival Data under Non-Proportional Hazards

gast function

A data frame with 90 rows and 3 variables:<dl>
 <dt>trt</dt>
<dd>treatment indicator, 1=chemotherapy + radiation, 0=chemotherapy alone.</dd> <dt>status</dt>
<dd>event indicator, 1=death, 0=censored.</dd> <dt>time</dt>
<dd>follow up time, in days</dd>
</dl>

Format

Example 1: gastric carcinoma trial data — gast

A data frame with 90 rows and 3 variables:<dl>
 <dt>trt</dt>
<dd>treatment indicator, 1=chemotherapy + radiation, 0=chemotherapy alone.</dd>

 <dt>status</dt>
<dd>event indicator, 1=death, 0=censored.</dd>

 <dt>time</dt>
<dd>follow up time, in days</dd>


</dl>

gast: Example 1: gastric carcinoma trial data

Description

Usage

Arguments

Format