antidep

A data set containing the treatment and continuous responses measured at baseline and 4 post-baseline visits

datasets

Reference-based multiple imputation of ordinal and binary responses under Bayesian
framework, as described in Wang and Liu (2022) <arXiv:2203.02771>. Methods for
missing-not-at-random include Jump-to-Reference (J2R), Copy Reference (CR), and Delta
Adjustment which can generate tipping point analysis.

Tony Wang

remiod

Reference-Based Multiple Imputation for Ordinal/Binary Response

Ying Liu

antidep function

A data frame with 172 rows and 6 variables:<dl>
<dt>PID</dt>
<dd>Patient ID</dd><dt>tx</dt>
<dd>Treatment, 1 for treated and 0 for placebo</dd><dt>y0</dt>
<dd>HADM-17 measurement at the baseline</dd><dt>y1, y2, y4, y6</dt>
<dd>Change score of HADM-17 measurement at the post-baseline week 1, 2, 4, and 6.</dd>
</dl>

Format

wide format of continuous response of antidepressant data. — antidep

A data frame with 172 rows and 6 variables:<dl>
<dt>PID</dt>
<dd>Patient ID</dd>

<dt>tx</dt>
<dd>Treatment, 1 for treated and 0 for placebo</dd>

<dt>y0</dt>
<dd>HADM-17 measurement at the baseline</dd>

<dt>y1, y2, y4, y6</dt>
<dd>Change score of HADM-17 measurement at the post-baseline week 1, 2, 4, and 6.</dd>


</dl>

antidep: wide format of continuous response of antidepressant data.

Description

Usage

Arguments

Format