summary_meanscore

Contains functions for data analysis of Repeated measurement using GEE. Data may contain missing value in response and covariates. For parameter estimation through Fisher Scoring algorithm, Mean Score and Inverse Probability Weighted method combining with Multiple Imputation are used when there is missing value in covariates/response.
Reference for mean score method, inverse probability weighted method is
Wang et al(2007)<doi:10.1093/biostatistics/kxl024>.

Atanu Bhattacharjee

MIIPW

IPW and Mean Score Methods for Time-Course Missing Data

Bhrigu Kumar Rajbongshi

Gajendra K Vishwakarma

summary_meanscore function

<dl><dt>object</dt>
<dd>meanscore object</dd>
<dt>...</dt>
<dd>further argument can be passed</dd></dl>

Arguments

summary method for meanscore — summary_meanscore

<dl>

<dt>object</dt>
<dd>meanscore object</dd>


<dt>...</dt>
<dd>further argument can be passed</dd>

</dl>

summary_meanscore: summary method for meanscore

Description

Usage

Value

Arguments