Understanding heterogeneity in meta‐analysis: the role of meta‐regression
WL Baker, C Michael White… - … journal of clinical …, 2009 - Wiley Online Library
Background: Meta‐regression has grown in popularity in recent years, paralleling the
increasing numbers of systematic reviews and meta‐analysis published in the biomedical …
increasing numbers of systematic reviews and meta‐analysis published in the biomedical …
Methods for exploring heterogeneity in meta-analysis
In meta-analysis, when the difference in results between studies is greater than would be
expected by chance, one needs to investigate whether the observed variation in results …
expected by chance, one needs to investigate whether the observed variation in results …
Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews
RM Turner, J Davey, MJ Clarke… - International journal …, 2012 - academic.oup.com
Background Many meta-analyses contain only a small number of studies, which makes it
difficult to estimate the extent of between-study heterogeneity. Bayesian meta-analysis …
difficult to estimate the extent of between-study heterogeneity. Bayesian meta-analysis …
Recent developments in meta‐analysis
AJ Sutton, JPT Higgins - Statistics in medicine, 2008 - Wiley Online Library
The art and science of meta‐analysis, the combination of results from multiple independent
studies, is now more than a century old. In the last 30 years, however, as the need for …
studies, is now more than a century old. In the last 30 years, however, as the need for …
Controlling the risk of spurious findings from meta‐regression
JPT Higgins, SG Thompson - Statistics in medicine, 2004 - Wiley Online Library
Meta‐regression has become a commonly used tool for investigating whether study
characteristics may explain heterogeneity of results among studies in a systematic review …
characteristics may explain heterogeneity of results among studies in a systematic review …
Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study
M Geissbühler, CA Hincapié, S Aghlmandi… - BMC Medical research …, 2021 - Springer
Background Due to clinical and methodological diversity, clinical studies included in meta-
analyses often differ in ways that lead to differences in treatment effects across studies. Meta …
analyses often differ in ways that lead to differences in treatment effects across studies. Meta …
Interpretation of tests of heterogeneity and bias in meta‐analysis
JPA Ioannidis - Journal of evaluation in clinical practice, 2008 - Wiley Online Library
Statistical tests of heterogeneity and bias, in particular publication bias, are very popular in
meta‐analyses. These tests use statistical approaches whose limitations are often not …
meta‐analyses. These tests use statistical approaches whose limitations are often not …
Steps in undertaking meta-analysis and addressing heterogeneity in meta-analysis
Evidence-based research is used to generate, summarise, and understand the best
available practices to inform decision-making. Systematic reviews (SR) and meta-analysis …
available practices to inform decision-making. Systematic reviews (SR) and meta-analysis …
Meta-analysis in medical research: strong encouragement for higher quality in individual research efforts
K O'Rourke, AS Detsky - Journal of Clinical Epidemiology, 1989 - Elsevier
In this article, we counter some criticism regarding the desirability of performing meta-
analysis in clinical research. These criticisms, we argue, are based mainly on current …
analysis in clinical research. These criticisms, we argue, are based mainly on current …
相关搜索
- meta regression understanding heterogeneity
- meta analysis extent of heterogeneity
- meta regression methodological pitfalls
- meta analysis interpretation of tests
- meta analysis statistical significance
- meta regression spurious findings
- meta analysis cochrane database
- meta analysis higher quality
- meta analysis understanding heterogeneity
- meta analysis heterogeneity and bias