exampleData

Data were extracted from the studies included.

datasets

Calculate the distance between single-arm observational studies using covariate information to remove heterogeneity in Network Meta-Analysis (NMA) of randomized clinical trials. Facilitate the inclusion of observational data in NMA, enhancing the comprehensiveness and robustness of comparative effectiveness research. Schmitz (2018) <doi:10.1186/s12874-018-0509-7>.

Shubhram Pandey

closeloop

Integrate Single-Arm Observational Data in Network Meta Analysis

Supreet Kaur

Akanksha Sharma

exampleData function

A data frame with with the 4 following variables (columns).<dl>
 <dt>Study</dt>
<dd>This character vector represents number of the study.</dd> <dt>Male</dt>
<dd>This vector represents the proportion of males.</dd> <dt>Age</dt>
<dd>This vector represents the average age in each study.</dd> <dt>Treatment</dt>
<dd>This vector represents the treatment.</dd> ...</dl>

Format

Shubhram Pandey <a href="/link/shubhram.pandey%40heorlytics.com?package=closeloop&version=0.1.0" data-mini-rdoc="closeloop::shubhram.pandey@heorlytics.com">shubhram.pandey@heorlytics.com</a>

Author

This is a simulated data — exampleData

A data frame with with the 4 following variables (columns).<dl>
 <dt>Study</dt>
<dd>This character vector represents number of the study.</dd>

 <dt>Male</dt>
<dd>This vector represents the proportion of males.</dd>

 <dt>Age</dt>
<dd>This vector represents the average age in each study.</dd>

 <dt>Treatment</dt>
<dd>This vector represents the treatment.</dd>

 ...

</dl>

Shubhram Pandey <a href='mailto:shubhram.pandey@heorlytics.com'>shubhram.pandey@heorlytics.com</a>

exampleData: This is a simulated data

Description

Usage

Arguments

Format

Author

Details