colonexample

The example <code>colonexample</code> in this package was created using data from one of the first successful trials of adjuvant chemotherapy for colon cancer. The original data set is available from <code>colon</code> in the <code>survival</code> library. The data set <code>colonexample</code> here uses only records with <code>etype = 2</code> and <code>rx = 1 or 3</code>, and it includes three variables: <code>extent</code>, <code>surg</code>, and <code>node4</code>.

datasets

Provides covariate-adjusted comparison of two groups of right
censored data, where the binary group variable has separate short-term
and long-term effects on the hazard function, while effects of covariates
such as age, blood pressure, etc. are proportional on the hazard. The model
was studied in Yang and Prentice (2015) <doi:10.1002/sim.6453> and it extends
the two sample version of the short-term and long-term hazard ratio model
proposed in Yang and Prentice (2005) <doi:10.1093/biomet/92.1.1>. The model
extends the usual Cox proportional hazards model to allow more flexible
hazard ratio patterns, such as gradual onset of effect, diminishing effect,
and crossing hazard or survival functions. This package provides
the following: 1) point estimates and confidence intervals for model
parameters; 2) point estimate and confidence interval of the average hazard
ratio; and 3) plots of estimated hazard ratio function with point-wise and
simultaneous confidence bands.

Daewoo Pak

YPmodelPhreg

The Short-Term and Long-Term Hazard Ratio Model with
Proportional Adjustment

Song Yang

colonexample function

A data frame with 619 observations on the following 6 variables.<dl>
 <dt><code>time</code></dt>
<dd>time until event or censoring (in years)</dd> <dt><code>event</code></dt>
<dd>censoring status (1 = event, 0 = censored)</dd> <dt><code>group</code></dt>
<dd>group indicator (1 = Lev(amisole)+5-FU), 0 = Obs(ervation))</dd> <dt><code>X1</code></dt>
<dd>a binary covariate for <code>extent</code> (1 = serosa or contiguous structures, 0 = submucosa or muscle)</dd> <dt><code>X2</code></dt>
<dd>a binary covariate for <code>surg</code> (1=long, 0=short)</dd> <dt><code>X3</code></dt>
<dd>a binary covariate for <code>node4</code> (1 = more than 4 positive lymph nodes, 0 = otherwise)</dd> 
</dl>

Format

An example from Chemotherapy for Stage B/C colon cancer — colonexample

A data frame with 619 observations on the following 6 variables.<dl>
 <dt><code>time</code></dt>
<dd>time until event or censoring (in years)</dd>

 <dt><code>event</code></dt>
<dd>censoring status (1 = event, 0 = censored)</dd>

 <dt><code>group</code></dt>
<dd>group indicator (1 = Lev(amisole)+5-FU), 0 = Obs(ervation))</dd>

 <dt><code>X1</code></dt>
<dd>a binary covariate for <code>extent</code> (1 = serosa or contiguous structures, 0 = submucosa or muscle)</dd>

 <dt><code>X2</code></dt>
<dd>a binary covariate for <code>surg</code> (1=long, 0=short)</dd>

 <dt><code>X3</code></dt>
<dd>a binary covariate for <code>node4</code> (1 = more than 4 positive lymph nodes, 0 = otherwise)</dd>

 
</dl>

colonexample: An example from Chemotherapy for Stage B/C colon cancer

Description

Usage

Arguments

Format

See Also

Examples