em.il.interaction

The starting values of the parameters as (\(\beta, \alpha\)) where \(\beta\) is the parameters of original model and \(\alpha\) is the for the missing data model.

parameter

The design matrix with the intercept column.

The augmented response with design matrix and missing indicator 1 for missing data.

full.missing.data

The observed response with design matrix and missing indicator 0 for observed data.

observed.data

The observed response, augmented response with corresponding design matrix and missing indicator 0 for observed data and 1 for missing data.

full.data

If interaction is present in the missing data model, then the k is the column number of covariate matrix which has interaction with the response.

as in <code><a rd-options="" href="/link/glm?package=brlrmr&version=0.1.7" data-mini-rdoc="brlrmr::glm">glm</a></code>. <code>brlrmr</code> currently supports only the <code>"binomial"</code> family with links

family

It is called by the main function fil and is for internal use.

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

em.il.interaction function

as in <code><a rd-options='' href='glm'>glm</a></code>. <code>brlrmr</code> currently supports only the <code>"binomial"</code> family with links

em.il.interaction: em.il.interaction

Description

Usage

Arguments

References