incontinence

datasets

Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068> to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.

Arnab Maity

brlrmr

Bias Reduction with Missing Binary Response

Vivek Pradhan

Ujjwal Das

incontinence function

A data frame with 21 observations on the following 4 variables:<dl class="dl-horizontal">
 <dt>y</dt><dd>Response (1 = continent, 0 = otherwise)</dd>
 <dt>x1</dt><dd>Lower urinary tract measure</dd>
 <dt>x2</dt><dd>Lower urinary tract measure</dd>
 <dt>x3</dt><dd>Lower urinary tract measure</dd>
</dl>

Format

Incontinence example. — incontinence

A data frame with 21 observations on the following 4 variables:<dl class='dl-horizontal'>
 <dt>y</dt><dd>Response (1 = continent, 0 = otherwise)</dd>
 <dt>x1</dt><dd>Lower urinary tract measure</dd>
 <dt>x2</dt><dd>Lower urinary tract measure</dd>
 <dt>x3</dt><dd>Lower urinary tract measure</dd>
</dl>

incontinence: Incontinence example.

Description

Usage

Arguments

Format