p0G_data


This is a small data set used for illustration of the `p0G' calculation. There are 2 columns, 20 rows in this data set.


datasets

We propose a fully efficient sieve maximum likelihood method to estimate genotype-specific distribution of time-to-event outcomes under a nonparametric model. We can handle missing genotypes in pedigrees.  We estimate the time-dependent hazard ratio between two genetic mutation groups using B-splines, while applying nonparametric maximum likelihood estimation to the reference baseline hazard function.  The estimators are calculated via an expectation-maximization algorithm.

Baosheng Liang

GSSE

Genotype-Specific Survival Estimation

p0G_data function

A data frame with 20 observations on the following 2 columns with
  <dl>
    <dt><code>relative</code></dt><dd>a factor with levels <code>Child</code>, <code>Parent</code> and <code>Sibling</code>,</dd> <dt><code>proband_pd</code></dt><dd>a factor with levels <code>No</code> and <code>Yes</code>.</dd> </dl> 

Format

This data set is a tiny subset of the data set of a Parkinson disease research project supported by Michael J. Fox Foundation.

p0G_data: Data Set for Illustration of the `p0G' Calculation

Description

Usage

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Format

Source

References

See Also

Examples