print.assess_phregr

Prints the concise information of an assess_phregr fit.

internal

Implements rank preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), marginal structural model (MSM), simple two-stage estimation (TSEsimp), and improved two-stage estimation with g-estimation (TSEgest) methods for treatment switching in randomized clinical trials.

Kaifeng Lu

trtswitch

Treatment Switching

print.assess_phregr function

<dl><dt>x</dt>
<dd>An object of class <code>assess_phregr</code>.</dd>
<dt>...</dt>
<dd>Ensures that all arguments starting from "..." are named.</dd></dl>

Arguments

Kaifeng Lu, <a href="/link/kaifenglu%40gmail.com?package=trtswitch&version=0.2.4" data-mini-rdoc="trtswitch::kaifenglu@gmail.com">kaifenglu@gmail.com</a>

Author

Print method for assess_phregr objects — print.assess_phregr

<dl>

<dt>x</dt>
<dd>An object of class <code>assess_phregr</code>.</dd>


<dt>...</dt>
<dd>Ensures that all arguments starting from "..." are named.</dd>

</dl>

Kaifeng Lu, <a href='mailto:kaifenglu@gmail.com'>kaifenglu@gmail.com</a>

print.assess_phregr: Print method for assess_phregr objects

Description

Usage

Value

Arguments

Author