srdata1

Repeated measurement dataset, for each id we have four visit observations

datasets

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

srdata1 function

A dataframe with 164 rows and 9 columns<dl>
<dt>ID</dt>
<dd>ID of subjects</dd><dt>Visit</dt>
<dd>Number of times observations recorded</dd><dt>C6kine,.....,GFRalpha4</dt>
<dd>These are covariates</dd></dl>

Format

protein data — srdata1

A dataframe with 164 rows and 9 columns<dl>
<dt>ID</dt>
<dd>ID of subjects</dd>

<dt>Visit</dt>
<dd>Number of times observations recorded</dd>

<dt>C6kine,.....,GFRalpha4</dt>
<dd>These are covariates</dd>

</dl>

srdata1: protein data

Description

Usage

Arguments

Format

Examples