Meta|Analysis Subgroups

Subgroup analyses involve splitting all the participant data into subgroups, often so as to make comparisons between them. Subgroup analyses may be done for ...

Meta-analysis and subgroups - PubMed

Subgroup analysis is the process of comparing a treatment effect for two or more variants of an intervention-to ask, for example, if an intervention's ...

The lack of statistical power of subgroup analyses in meta-analyses

One of the most used methods to examine sources of heterogeneity in meta-analyses is the so-called 'subgroup analysis'. In a subgroup analysis, the included ...

Chapter 7 Subgroup Analyses | Doing Meta-Analysis in R - Bookdown

In this chapter, we will describe the statistical model behind subgroup analyses, and how we can conduct one directly in R.

Subgroup Analyses - Comprehensive Meta-Analysis

show how meta-analysis can be used to compare the mean effect for different subgroups of studies (akin to analysis of variance in a primary study). In the ...

Interpretation of subgroup analyses in systematic reviews: A tutorial

We explain the importance of interpreting subgroup analyses, and demonstrate how to interpret subgroup analyses using theoretical examples and a real-life ...

4.3.7 Subgroups in meta-analysis - JBI Manual for Evidence Synthesis

Subgroups refer to diverse grouping of studies based on specific characteristics of the studies such as study design.

Chapter 10: Analysing data and undertaking meta-analyses

Computational problems can occur when no events are observed in one or both groups in an individual study. Inverse variance meta-analytical methods involve ...

Problems and pitfalls in subgroup analysis and meta-regression

In the subgroup analysis, our goal is to investigate whether there are differences between the subgroups in terms of the summary effect size.

Interaction analysis of subgroup effects in randomized trials - Nature

Subgroup analysis aims to identify subgroups (usually defined by baseline/demographic characteristics), who would (or not) benefit from an ...

Three simple rules to ensure reasonably credible subgroup analyses

In this article, we apply Bayes's rule to determine the probability that a positive subgroup analysis is a true positive.

Methods, Challenges, and Best Practices for Conducting Subgroup ...

However, focusing on average treatment effects may obscure important variation across subgroups of the treated population. Researchers may use subgroup analysis ...

The lack of statistical power of subgroup analyses in meta-analyses

Power calculations indicate that subgroup analyses in a meta-analysis require dozens to hundreds of studies for realising sufficient statistical ...

Meta-Analysis and Subgroups | Prevention Science

Meta-analysis allows the researcher to compare the treatment effect in different subgroups, even if these subgroups appear in separate studies.

Exploring heterogeneity in meta-analysis: Subgroup analysis. Part 1

In the subgroup analysis, we split the studies into subgroups defined by a covariate. In this case, we are interested in learning the dispersion ...

Same Old Challenges in Subgroup Analysis—Should We Do More ...

The methodological limitations of subgroup analyses and misleading inferences in oncology trials remain the same as those that the methods community has been ...

Subgroup analysis - Institute for Work & Health

Subgroup analysis is one way of finding out. It's a type of analysis done by breaking down study samples into subsets of participants based on a shared ...

Statistical approaches to identify subgroups in meta-analysis of ...

Individual participant data meta-analysis (IPD-MA) is considered the gold standard for investigating subgroup effects.

Statistical Considerations for Subgroup Analyses - ScienceDirect.com

This article reviews key statistical concepts associated with planning, conducting, and interpreting subgroup analyses in RCTs.

Subgroup Analysis in Meta-Analysis : a comparison of different ...

The cause of heterogeneity of the effects among studies in the conventional meta-analyses, has been typically analyzed by meta-regression and sometimes by ...