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The identity of two meta-analytic likelihoods and the ignorability of double-zero studies
9 references·3 citing·33 second hop
The identity of two meta-analytic likelihoods and the ignorability of double-zero studies (2020)The identity of two meta-analytic likelih…Meta‐analysis of rare events under the assumption of a homogeneous treatment effect (2019)Meta‐analysis of rare events …Meta‐analysis of clinical trials with rare events (2015)Meta‐analysis of clinical tri…Meta-Analysis with R (2015)Meta-Analysis with RStatistical methods for meta‐analyses including information from studies without any events—add nothing to nothing and succeed nevertheless (2014)Statistical methods for meta‐…Meta-analysis of incidence of rare events (2012)Meta-analysis of incidence of…Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data (2010)Random effects meta-analysis …Meta-analysis for rare events (2010)Meta-analysis for rare eventsIntroduction to Meta‐Analysis (2009)Introduction to Meta‐AnalysisWhy add anything to nothing? The arcsine difference as a measure of treatment effect in meta‐analysis with zero cells (2008)Why add anything to nothing? …Meta-analysis methods for risk difference: A comparison of different models (2022)Meta-analysis methods for ris…Estimating risk and rate ratio in rare events meta-analysis with the Mantel–Haenszel estimator and assessing heterogeneity (2022)Estimating risk and rate rati…Investigating heterogeneity in meta-analysis of studies with rare events (2021)Investigating heterogeneity i…What to add to nothing? Use and avoidance of continuity corrections in meta‐analysis of sparse data (2004)Much ado about nothing: a comparison of the performance of meta‐analytical methods with rare events (2006)Epidemiology and Reporting Characteristics of Systematic Reviews (2007)Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies (2015)Methods to estimate the between‐study variance and its uncertainty in meta‐analysis (2015)Misunderstandings about Q and ‘Cochran's Q test' in meta‐analysis (2015)Quantifying heterogeneity in a meta‐analysis (2002)Meta-analysis: pitfalls and hints. (2013)Strategies to prevent death by suicide: Meta-analysis of randomised controlled trials (2017)Practical guide to the meta-analysis of rare events (2018)The Framing of Decisions and the Psychology of Choice (1981)Analysing Data and Undertaking Meta‐Analyses (2008)Conducting Meta-Analyses in R with the metafor Package (2010)Analysing data and undertaking meta‐analyses (2019)Inclusion of zero total event trials in meta-analyses maintains analytic consistency and incorporates all available data (2007)A comparison of seven random‐effects models for meta‐analyses that estimate the summary odds ratio (2018)Methods for evidence synthesis in the case of very few studies (2018)When should meta‐analysis avoid making hidden normality assumptions? (2018)Meta-analysis in clinical trials (1986)Meta-analysis: formulating, evaluating, combining, and reporting (1999)Bias caused by sampling error in meta-analysis with small sample sizes (2018)Combination of direct and indirect evidence in mixed treatment comparisons (2004)Random-effects model for meta-analysis of clinical trials: An update (2006)Consistency and inconsistency in network meta‐analysis: model estimation using multivariate meta‐regression (2012)A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses (2018)Cochrane Handbook for Systematic Reviews of Interventions (2008)The impact of correction methods on rare‐event meta‐analysis (2023)Econometric Analysis of Panel Data (2021)Introduction, comparison, and validation of Meta‐Essentials : A free and simple tool for meta‐analysis (2017)How to perform a meta-analysis with R: a practical tutorial (2019)Facilitating flexible learning by replacing classroom time with an online learning environment: A systematic review of blended learning in higher education (2021)A basic introduction to fixed-effect and random-effects models for meta-analysis (2010)Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (2013)
this work references cited by second hop

References

  • 2009Introduction to Meta‐Analysis14,348 cited
  • 2015Meta-Analysis with R1,252 cited
  • 2010Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data763 cited
  • 2008Why add anything to nothing? The arcsine difference as a measure of treatment effect in meta‐analysis with zero cells253 cited
  • 2014Statistical methods for meta‐analyses including information from studies without any events—add nothing to nothing and succeed nevertheless209 cited
  • 2010Meta-analysis for rare events115 cited
  • 2012Meta-analysis of incidence of rare events98 cited
  • 2015Meta‐analysis of clinical trials with rare events80 cited
  • 2019Meta‐analysis of rare events under the assumption of a homogeneous treatment effect16 cited

Cited by

  • 2021Investigating heterogeneity in meta-analysis of studies with rare events8 cited
  • 2022Estimating risk and rate ratio in rare events meta-analysis with the Mantel–Haenszel estimator and assessing heterogeneity8 cited
  • 2022Meta-analysis methods for risk difference: A comparison of different models8 cited

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