baseHaz_cpp

a vector of times (begin at risk period).

starttimes

a vector of times (end at risk period).

stoptimes

a vector indicating censoring or event.

status

a numeric vector (exponential of the linear predictor).

a vector of integers (index of the strata for each observation).

strata

a vector of times (time at which to evaluate the hazard). Must be sorted.

predtimes

another vector of times, one per strata (last observation time in each strata).

emaxtimes

nPatients

nStrata

the status value corresponding to event.

cause

whether Efron or Breslow estimator should be used in presence of ties.

Efron

C++ function to estimate the baseline hazard from a Cox Model

Implementation of the following methods for event history analysis.
Risk regression models for survival endpoints also in the presence of competing
risks are fitted using binomial regression based on a time sequence of binary
event status variables. A formula interface for the Fine-Gray regression model
and an interface for the combination of cause-specific Cox regression models.
A toolbox for assessing and comparing performance of risk predictions (risk
markers and risk prediction models). Prediction performance is measured by the
Brier score and the area under the ROC curve for binary possibly time-dependent
outcome. Inverse probability of censoring weighting and pseudo values are used
to deal with right censored data. Lists of risk markers and lists of risk models
are assessed simultaneously. Cross-validation repeatedly splits the data, trains
the risk prediction models on one part of each split and then summarizes and
compares the performance across splits.

Thomas Alexander Gerds

riskRegression

Risk Regression Models and Prediction Scores for Survival
Analysis with Competing Risks

Johan Sebastian Ohlendorff

Paul Blanche

Rikke Mortensen

Marvin Wright

Nikolaj Tollenaar

John Muschelli

Ulla Brasch Mogensen

Brice Ozenne

baseHaz_cpp function

<dl><dt>starttimes</dt>
<dd>a vector of times (begin at risk period).</dd>
<dt>stoptimes</dt>
<dd>a vector of times (end at risk period).</dd>
<dt>status</dt>
<dd>a vector indicating censoring or event.</dd>
<dt>eXb</dt>
<dd>a numeric vector (exponential of the linear predictor).</dd>
<dt>strata</dt>
<dd>a vector of integers (index of the strata for each observation).</dd>
<dt>predtimes</dt>
<dd>a vector of times (time at which to evaluate the hazard). Must be sorted.</dd>
<dt>emaxtimes</dt>
<dd>another vector of times, one per strata (last observation time in each strata).</dd>
<dt>nPatients</dt>
<dd>number of observations.</dd>
<dt>nStrata</dt>
<dd>number of strata</dd>
<dt>cause</dt>
<dd>the status value corresponding to event.</dd>
<dt>Efron</dt>
<dd>whether Efron or Breslow estimator should be used in presence of ties.</dd></dl>

Arguments

C++ Fast Baseline Hazard Estimation — baseHaz_cpp

<dl>

<dt>starttimes</dt>
<dd>a vector of times (begin at risk period).</dd>


<dt>stoptimes</dt>
<dd>a vector of times (end at risk period).</dd>


<dt>status</dt>
<dd>a vector indicating censoring or event.</dd>


<dt>eXb</dt>
<dd>a numeric vector (exponential of the linear predictor).</dd>


<dt>strata</dt>
<dd>a vector of integers (index of the strata for each observation).</dd>


<dt>predtimes</dt>
<dd>a vector of times (time at which to evaluate the hazard). Must be sorted.</dd>


<dt>emaxtimes</dt>
<dd>another vector of times, one per strata (last observation time in each strata).</dd>


<dt>nPatients</dt>
<dd>number of observations.</dd>


<dt>nStrata</dt>
<dd>number of strata</dd>


<dt>cause</dt>
<dd>the status value corresponding to event.</dd>


<dt>Efron</dt>
<dd>whether Efron or Breslow estimator should be used in presence of ties.</dd>

</dl>

baseHaz_cpp: C++ Fast Baseline Hazard Estimation

Description

Usage

Arguments

Details