Tipton_Pusto

A dataset containing simulation results comparing small sample correction
methods for cluster robust variance estimation in meta-analysis.

datasets

Calculates performance criteria measures and associated Monte Carlo standard errors for simulation results. Includes functions to help run simulation studies, following a general simulation workflow that closely aligns with the approach described by Morris, White, and Crowther (2019) <DOI:10.1002/sim.8086>. Also includes functions for calculating bootstrap confidence intervals (including normal, basic, studentized, percentile, bias-corrected, and bias-corrected-and-accelerated) with tidy output, as well as for extrapolating confidence interval coverage rates and hypothesis test rejection rates following techniques suggested by Boos and Zhang (2000) <DOI:10.1080/01621459.2000.10474226>.

Megha Joshi

simhelpers

Helper Functions for Simulation Studies

James Pustejovsky

Tipton_Pusto function

A tibble with 15,300 rows and 8 variables:<dl>
 <dt>num_studies</dt>
<dd>the number of studies included in the meta-analysis.</dd> <dt>r</dt>
<dd>correlation between outcomes.</dd> <dt>Isq</dt>
<dd>measure of heterogeneity of true effects.</dd> <dt>contrast</dt>
<dd>type of contrast that was tested.</dd> <dt>test</dt>
<dd>small sample method used.</dd> <dt>q</dt>
<dd>the number of parameters in the hypothesis test.</dd> <dt>rej_rate</dt>
<dd>the Type 1 error rate.</dd> <dt>mcse</dt>
<dd>the Monte Carlo standard error for the estimate of the Type 1 error rate.</dd></dl>

Format

Results for Figure 2 of Tipton &amp; Pustejovsky (2015) — Tipton_Pusto

A tibble with 15,300 rows and 8 variables:<dl>
 <dt>num_studies</dt>
<dd>the number of studies included in the meta-analysis.</dd>

 <dt>r</dt>
<dd>correlation between outcomes.</dd>

 <dt>Isq</dt>
<dd>measure of heterogeneity of true effects.</dd>

 <dt>contrast</dt>
<dd>type of contrast that was tested.</dd>

 <dt>test</dt>
<dd>small sample method used.</dd>

 <dt>q</dt>
<dd>the number of parameters in the hypothesis test.</dd>

 <dt>rej_rate</dt>
<dd>the Type 1 error rate.</dd>

 <dt>mcse</dt>
<dd>the Monte Carlo standard error for the estimate of the Type 1 error rate.</dd>



</dl>

Tipton_Pusto: Results for Figure 2 of Tipton & Pustejovsky (2015)

Description

Usage

Arguments

Format