contrast-class

Defines the object class returned by the comparison function.

Performs maximum likelihood based estimation and inference on time to event data, possibly subject to non-informative right censoring. FitParaSurv() provides maximum likelihood estimates of model parameters and distributional characteristics, including the mean, median, variance, and restricted mean. CompParaSurv() compares the mean, median, and restricted mean survival experiences of two treatment groups. Candidate distributions include the exponential, gamma, generalized gamma, log-normal, and Weibull.

Zachary McCaw

Temporal

Parametric Time to Event Analysis

contrast-class function

<dl>
<dt><code>Dist1</code></dt>
<dd>Distribution fit to the target group, string.</dd></dl>
<dt><code>Dist0</code></dt>
<dd>Distribution fit to the reference group, string.</dd>
<dt><code>Model1</code></dt>
<dd>Fitted model for the target group, fit.</dd>
<dt><code>Model0</code></dt>
<dd>Fitted model for the reference group, fit.</dd>
<dt><code>Location</code></dt>
<dd>Contrasts of means and medians, data.frame.</dd>
<dt><code>RMST</code></dt>
<dd>Contrasts of RMSTs, data.frame.</dd>

Slots

Contrast of Survival Distributions. — contrast-class

<dl>
<dt><code>Dist1</code></dt>
<dd>Distribution fit to the target group, string.</dd>


<dt><code>Dist0</code></dt>
<dd>Distribution fit to the reference group, string.</dd>


<dt><code>Model1</code></dt>
<dd>Fitted model for the target group, fit.</dd>


<dt><code>Model0</code></dt>
<dd>Fitted model for the reference group, fit.</dd>


<dt><code>Location</code></dt>
<dd>Contrasts of means and medians, data.frame.</dd>


<dt><code>RMST</code></dt>
<dd>Contrasts of RMSTs, data.frame.</dd>


</dl>

contrast-class: Contrast of Survival Distributions.

Description

Arguments

Slots