plot.riskRegression

Fitted object obtained with one of <code>ARR</code>, <code>LRR</code>,
<code>riskRegression</code>.

For CauseSpecificCox models the cause of interest.

cause

A data frame containing predictor variable combinations for
which to compute predicted risk.

newdata

xlab

ylab

xlim

ylim

A vector of line thicknesses for the regression coefficients.

A vector of colors for the regression coefficients.

A vector of line types for the regression coefficients.

Logical. If <code>FALSE</code> then do not draw axes.

axes

If true the y-axis is labeled in percent.

percent

legend

Logical. If <code>TRUE</code> then add lines to an existing plot.

Used for transclusion of smart arguments for <code>plot</code>,
<code>lines</code>, <code>axis</code> and <code>background</code>. See function
<code><a rd-options="" href="/link/SmartControl?package=riskRegression&version=1.3.7" data-mini-rdoc="riskRegression::SmartControl">SmartControl</a></code> from prodlim.

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Show predicted risk obtained by a risk prediction model as a function of
time.

survival

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

plot.riskRegression function

Used for transclusion of smart arguments for <code>plot</code>,
<code>lines</code>, <code>axis</code> and <code>background</code>. See function
<code><a rd-options='' href='SmartControl'>SmartControl</a></code> from prodlim.

plot.riskRegression: Plotting predicted risk

Description

Usage

Arguments

Examples