logdata

Longitudinal clinical data including treatment variables and time-to-event outcomes

datasets

Implements methods for estimating generalized estimating equations (GEE) with advanced options for flexible modeling and handling missing data. This package provides tools to fit and analyze GEE models for longitudinal data, allowing users to address missingness using a variety of imputation techniques. It supports both univariate and multivariate modeling, visualization of missing data patterns, and facilitates the transformation of data for efficient statistical analysis. Designed for researchers working with complex datasets, it ensures robust estimation and inference in longitudinal and clustered data settings.

Atanu Bhattacharjee

MIGEE

Impute Missing Values and Fitting Linear Mixed Effect Model

Gajendra Kumar Vishwakarma

Neelesh Kumar

logdata function

A dataframe with multiple rows and 11 variables:<dl>
<dt>ID</dt>
<dd>ID of subjects</dd><dt>Days</dt>
<dd>Time in days for each recorded event</dd><dt>Age</dt>
<dd>Age of subjects</dd><dt>Gender</dt>
<dd>Gender of subjects (Male/Female)</dd><dt>x_val</dt>
<dd>Covariate values (numerical)</dd><dt>y_val</dt>
<dd>Outcome variable representing time-to-event or measurement (numerical, possibly containing missing data)</dd><dt>trt1</dt>
<dd>Treatment group 1 (binary, 0/1)</dd><dt>trt2</dt>
<dd>Treatment group 2 (binary, 0/1)</dd><dt>fac1</dt>
<dd>Factor 1 (binary, 0/1)</dd><dt>fac2</dt>
<dd>Factor 2 (binary, 0/1)</dd><dt>Visit</dt>
<dd>Visit number (categorical)</dd><dt>SEX</dt>
<dd>Redundant variable for Gender (Male/Female)</dd>
</dl>

Format

Longitudinal clinical data for patients — logdata

A dataframe with multiple rows and 11 variables:<dl>
<dt>ID</dt>
<dd>ID of subjects</dd>

<dt>Days</dt>
<dd>Time in days for each recorded event</dd>

<dt>Age</dt>
<dd>Age of subjects</dd>

<dt>Gender</dt>
<dd>Gender of subjects (Male/Female)</dd>

<dt>x_val</dt>
<dd>Covariate values (numerical)</dd>

<dt>y_val</dt>
<dd>Outcome variable representing time-to-event or measurement (numerical, possibly containing missing data)</dd>

<dt>trt1</dt>
<dd>Treatment group 1 (binary, 0/1)</dd>

<dt>trt2</dt>
<dd>Treatment group 2 (binary, 0/1)</dd>

<dt>fac1</dt>
<dd>Factor 1 (binary, 0/1)</dd>

<dt>fac2</dt>
<dd>Factor 2 (binary, 0/1)</dd>

<dt>Visit</dt>
<dd>Visit number (categorical)</dd>

<dt>SEX</dt>
<dd>Redundant variable for Gender (Male/Female)</dd>


</dl>

logdata: Longitudinal clinical data for patients

Description

Usage

Arguments

Format

Examples