Heterogeneity in ecological and evolutionary meta-analyses: its magnitude and implications
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Heterogeneity in ecological and evolutionary meta-analyses: its magnitude and implications
Authors
Keywords
-
Journal
ECOLOGY
Volume 97, Issue 12, Pages 3293-3299
Publisher
Wiley
Online
2016-10-13
DOI
10.1002/ecy.1591
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Plea for routinely presenting prediction intervals in meta-analysis
- (2016) Joanna IntHout et al. BMJ Open
- Effect of maternal diet on offspring coping styles in rodents: a systematic review and meta-analysis
- (2015) Anne A. Besson et al. BIOLOGICAL REVIEWS
- Small studies are more heterogeneous than large ones: a meta-meta-analysis
- (2015) Joanna IntHout et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- An empirical comparison of heterogeneity variance estimators in 12 894 meta-analyses
- (2015) Dean Langan et al. Research Synthesis Methods
- Lessons from meta-analysis in ecology and evolution: the need for trans-disciplinary evidence synthesis methodologies
- (2015) Gavin B. Stewart et al. Research Synthesis Methods
- Methods to estimate the between-study variance and its uncertainty in meta-analysis
- (2015) Areti Angeliki Veroniki et al. Research Synthesis Methods
- Conducting Meta-Analyses inRwith themetaforPackage
- (2015) Wolfgang Viechtbauer Journal of Statistical Software
- Advancing plant ecology through meta-analyses
- (2014) Lorena Gómez-Aparicio et al. JOURNAL OF ECOLOGY
- All eggs are made equal: meta-analysis of egg sexual size dimorphism in birds
- (2013) J. Rutkowska et al. JOURNAL OF EVOLUTIONARY BIOLOGY
- Meta-analysis: A need for well-defined usage in ecology and conservation biology
- (2013) Daniela Vetter et al. Ecosphere
- Meta-analytic insights into evolutionary ecology: an introduction and synthesis
- (2012) Shinichi Nakagawa et al. EVOLUTIONARY ECOLOGY
- Methodological issues and advances in biological meta-analysis
- (2012) Shinichi Nakagawa et al. EVOLUTIONARY ECOLOGY
- Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews
- (2012) Rebecca M Turner et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Do invasive species show higher phenotypic plasticity than native species and, if so, is it adaptive? A meta-analysis
- (2011) Amy Michelle Davidson et al. ECOLOGY LETTERS
- DIRECTIONAL SELECTION IN TEMPORALLY REPLICATED STUDIES IS REMARKABLY CONSISTENT
- (2011) Michael B. Morrissey et al. EVOLUTION
- General quantitative genetic methods for comparative biology: phylogenies, taxonomies and multi-trait models for continuous and categorical characters
- (2010) J. D. HADFIELD et al. JOURNAL OF EVOLUTIONARY BIOLOGY
- A basic introduction to fixed-effect and random-effects models for meta-analysis
- (2010) Michael Borenstein et al. Research Synthesis Methods
- It’s about time: the temporal dynamics of phenotypic selection in the wild
- (2009) Adam M. Siepielski et al. ECOLOGY LETTERS
- A quantitative review of heterozygosity-fitness correlations in animal populations
- (2009) J. R. CHAPMAN et al. MOLECULAR ECOLOGY
- The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration
- (2009) Alessandro Liberati et al. PLOS MEDICINE
- Undue reliance on I 2 in assessing heterogeneity may mislead
- (2008) Gerta Rücker et al. BMC Medical Research Methodology
- Fixed- versus random-effects models in meta-analysis: Model properties and an empirical comparison of differences in results
- (2008) Frank L. Schmidt et al. BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started