fit_short_glm

Fits a GLM for the probability of the event occurring before <code>t0 + tau</code>,
given survival up to <code>t0</code> and information on a short-term event.
Uses kernel weighting based on the short-term event time.

internal

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

fit_short_glm function

<dl><dt>landpred_obj</dt>
<dd>A landpred object containing the data.</dd>
<dt>t0</dt>
<dd>The landmark time.</dd>
<dt>tau</dt>
<dd>The prediction window.</dd>
<dt>t_s</dt>
<dd>The time of the short-term event.</dd>
<dt>bw</dt>
<dd>The bandwidth for kernel weighting.</dd>
<dt>transform</dt>
<dd>A transformation function for the time variable (e.g., log).</dd>
<dt>indices</dt>
<dd>Optional indices to subset the data.</dd></dl>

Arguments

Fit GLM with Kernel Weights (Short-Term Event Info) — fit_short_glm

<dl>

<dt>landpred_obj</dt>
<dd>A landpred object containing the data.</dd>


<dt>t0</dt>
<dd>The landmark time.</dd>


<dt>tau</dt>
<dd>The prediction window.</dd>


<dt>t_s</dt>
<dd>The time of the short-term event.</dd>


<dt>bw</dt>
<dd>The bandwidth for kernel weighting.</dd>


<dt>transform</dt>
<dd>A transformation function for the time variable (e.g., log).</dd>


<dt>indices</dt>
<dd>Optional indices to subset the data.</dd>

</dl>

fit_short_glm: Fit GLM with Kernel Weights (Short-Term Event Info)

Description

Usage

Value

Arguments