checkcensor

Check how censoring impacts sampling properties of KM fit and log rank test.

Proportional hazards estimation in the presence of a partially monotone likelihood has difficulties, in that finite estimators do not exist.  These difficulties are related to those arising from logistic and multinomial regression.  References for methods are given in the separate function documents.  Supported by grant NSF DMS 1712839.

John E Kolassa

PHInfiniteEstimates

Tools for Inference in the Presence of a Monotone Likelihood

checkcensor function

<dl><dt>nsamp</dt>
<dd>Number of MC samples</dd>
<dt>nobs</dt>
<dd>Number of observations</dd></dl>

Arguments

Check how censoring impacts sampling properties of KM fit and log rank test. — checkcensor

<dl>

<dt>nsamp</dt>
<dd>Number of MC samples</dd>


<dt>nobs</dt>
<dd>Number of observations</dd>

</dl>

checkcensor: Check how censoring impacts sampling properties of KM fit and log rank test.

Description

Usage

Value

Arguments