predict.landpred_model_continuous

Predicts the probability of the event occurring given new data.

Nonparametric methods for landmark prediction of long-term survival outcomes, incorporating covariate and short-term event information. The package supports the construction of flexible varying-coefficient models that use discrete covariates, as well as multiple continuous covariates.
The goal is to improve prediction accuracy when censored short-term events are available as predictors, using robust nonparametric procedures that do not require correct model specification and avoid restrictive parametric assumptions found in alternative methods.
More information on these methods can be found in Parast et al. 2012 <doi:10.1080/01621459.2012.721281>,
Parast et al. 2011 <doi:10.1002/bimj.201000150>, and Parast and Cai 2013 <doi:10.1002/sim.5776>.
A tutorial for this package is available here: <https://www.laylaparast.com/landpred>.

Layla Parast

landpred

Landmark Prediction of a Survival Outcome

Dylan Huynh

predict.landpred_model_continuous function

<dl><dt>object</dt>
<dd>A landpred_model_continuous object.</dd>
<dt>newdata</dt>
<dd>New data frame containing covariates and short-term event info.</dd>
<dt>type</dt>
<dd>Type of prediction (default "response").</dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

Predict Method for Landpred Continuous Model — predict.landpred_model_continuous

<dl>

<dt>object</dt>
<dd>A landpred_model_continuous object.</dd>


<dt>newdata</dt>
<dd>New data frame containing covariates and short-term event info.</dd>


<dt>type</dt>
<dd>Type of prediction (default "response").</dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

predict.landpred_model_continuous: Predict Method for Landpred Continuous Model

Description

Usage

Value

Arguments