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Meta‐Analysis Of Controlled Clinical Trials
Abstract
Introduction Protocol development Estimating the treatment difference in an individual trial Combining estimates of a treatment difference across trials Meta--analysis using individual patient data Dealing with heterogeneity Presentation and interpretation of results Selection bias Dealing with non--standard datasets Inclusion of trials with different study designs A Bayesian approach to meta--analysis Sequential methods for meta--analysis Appendix Methods of estimation and hypothesis testing
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“Standard random-effects meta-analysis methods make this assumption (Whitehead, 2002), and we now discuss the extent to which classical and Bayesian approaches with a normal distribution for the random effects allow the important questions to be addressed.”
From A Re-Evaluation of Random-Effects Meta-Analysis (2009) · cites this paper as Whitehead, 2002
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Metadata
- Authors
- Whitehead, A.
- Corresponding author
- Whitehead, Anne
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2002-07-15
- OpenAlex
- W24088030
- Cited by
- 827
- References
- 0
- Citations by year
- 2026: 15 · 2025: 9 · 2024: 7 · 2023: 16 · 2022: 21 · 2021: 32 · 2020: 23 · 2019: 24 · 2018: 33 · 2017: 25 · 2016: 43 · 2015: 38 · 2014: 49 · 2013: 52 · 2012: 61
- FWCI
- 25.76
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- meta-analysis, individual patient data, treatment effect estimation, heterogeneity, selection bias, Bayesian meta-analysis, sequential methods, hypothesis testing, study design comparison, protocol design
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