Individual Participant Data (IPD) Meta-Analysis FAQs

Question 1

Does it support survival analysis for meta-studies?

Accepted Answer

Yes, it includes code patterns for stratified Cox models, frailty models, and mixed-effects Cox models using the survival and coxme packages.

Question 2

Can this skill help with missing data in multi-study settings?

Accepted Answer

Yes, it provides implementation patterns for multilevel multiple imputation using packages like mice and mitml to properly account for data clustering across studies.

Question 3

Can I combine IPD with published aggregate data (AgD)?

Accepted Answer

Yes, it covers methods for meta-analyzing studies where you have full participant data alongside studies where only summary statistics are available.

Question 4

What is the difference between one-stage and two-stage IPD meta-analysis?

Accepted Answer

Two-stage analysis involves analyzing each study separately to obtain estimates which are then pooled using traditional meta-analysis, while one-stage analysis uses a single mixed-effects model to analyze all raw participant data simultaneously.

Question 5

How does it handle treatment-covariate interactions?

Accepted Answer

The skill demonstrates how to separate within-study and between-study effects to accurately test for treatment-effect modification while avoiding ecological fallacies.

Individual Participant Data (IPD) Meta-Analysis

主要功能

使用场景

Individual Participant Data (IPD) Meta-Analysis

主要功能

使用场景