Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ
出版年份 2016 全文链接
标题
Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ
作者
关键词
-
出版物
STATISTICS IN MEDICINE
Volume 36, Issue 5, Pages 855-875
出版商
Wiley
发表日期
2016-10-17
DOI
10.1002/sim.7141
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A decade of individual participant data meta-analyses: A review of current practice
- (2015) Mark Simmonds et al. Contemporary Clinical Trials
- Borrowing of strength and study weights in multivariate and network meta-analysis
- (2015) Dan Jackson et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Performance of methods for meta-analysis of diagnostic test accuracy with few studies or sparse data
- (2015) Yemisi Takwoingi et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Summarising and validating test accuracy results across multiple studies for use in clinical practice
- (2015) Richard D. Riley et al. STATISTICS IN MEDICINE
- Multiple imputation for IPD meta-analysis: allowing for heterogeneity and studies with missing covariates
- (2015) M. Quartagno et al. STATISTICS IN MEDICINE
- Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE
- (2015) Shahab Jolani et al. STATISTICS IN MEDICINE
- Individual Participant Data (IPD) Meta-analyses of Randomised Controlled Trials: Guidance on Their Use
- (2015) Jayne F. Tierney et al. PLOS MEDICINE
- An empirical comparison of heterogeneity variance estimators in 12 894 meta-analyses
- (2015) Dean Langan et al. Research Synthesis Methods
- Get real in individual participant data (IPD) meta-analysis: a review of the methodology
- (2015) Thomas P. A. Debray 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
- The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method
- (2014) Joanna IntHout et al. BMC Medical Research Methodology
- Multilevel mixed effects parametric survival models using adaptive Gauss-Hermite quadrature with application to recurrent events and individual participant data meta-analysis
- (2014) Michael J. Crowther et al. STATISTICS IN MEDICINE
- Meta-analysis of randomized phase II trials to inform subsequent phase III decisions
- (2014) Danielle L Burke et al. Trials
- Multivariate meta-analysis using individual participant data
- (2014) R. D. Riley et al. Research Synthesis Methods
- Individual participant data meta-analyses should not ignore clustering
- (2013) Ghada Abo-Zaid et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Individual Participant Data Meta-Analysis for a Binary Outcome: One-Stage or Two-Stage?
- (2013) Thomas P. A. Debray et al. PLoS One
- Combining multiple imputation and meta-analysis with individual participant data
- (2013) Stephen Burgess et al. STATISTICS IN MEDICINE
- Multiple imputation for handling systematically missing confounders in meta-analysis of individual participant data
- (2013) Matthieu Resche-Rigon et al. STATISTICS IN MEDICINE
- A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis
- (2013) Thomas P.A. Debray et al. STATISTICS IN MEDICINE
- Individual patient data meta-analysis of survival data using Poisson regression models
- (2012) Michael J Crowther et al. BMC Medical Research Methodology
- Individual participant data meta-analysis of prognostic factor studies: state of the art?
- (2012) Ghada Abo-Zaid et al. BMC Medical Research Methodology
- Statistical Analysis of Individual Participant Data Meta-Analyses: A Comparison of Methods and Recommendations for Practice
- (2012) Gavin B. Stewart et al. PLoS One
- Individual patient data meta-analysis of time-to-event outcomes: one-stage versus two-stage approaches for estimating the hazard ratio under a random effects model
- (2012) Jack Bowden et al. Research Synthesis Methods
- Generalized linear models with clustered data: Fixed and random effects models
- (2011) Göran Broström et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- A critical review of methods for the assessment of patient-level interactions in individual participant data meta-analysis of randomized trials, and guidance for practitioners
- (2011) D.J. Fisher et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Rejoinder to commentaries on ‘Multivariate meta-analysis: Potential and promise’
- (2011) Dan Jackson et al. STATISTICS IN MEDICINE
- A new strategy for meta-analysis of continuous covariates in observational studies
- (2011) Willi Sauerbrei et al. STATISTICS IN MEDICINE
- Hans van Houwelingen and the Art of Summing up
- (2010) Stephen Senn BIOMETRICAL JOURNAL
- Estimating Multilevel Logistic Regression Models When the Number of Clusters is Low: A Comparison of Different Statistical Software Procedures
- (2010) Peter C Austin
- Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies
- (2010) Simon Thompson et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A simulation study
- (2010) Evangelos Kontopantelis et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data
- (2010) Theo Stijnen et al. STATISTICS IN MEDICINE
- Meta-analysis of a binary outcome using individual participant data and aggregate data
- (2010) Richard D. Riley et al. Research Synthesis Methods
- Meta-analysis of individual patient data versus aggregate data from longitudinal clinical trials
- (2009) Ashley P Jones et al. Clinical Trials
- Differences between univariate and bivariate models for summarizing diagnostic accuracy may not be large
- (2009) David L. Simel et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Multivariate meta-analysis: the effect of ignoring within-study correlation
- (2009) Richard D. Riley JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
- Empirical comparison of subgroup effects in conventional and individual patient data meta-analyses
- (2008) Laura Koopman et al. INTERNATIONAL JOURNAL OF TECHNOLOGY ASSESSMENT IN HEALTH CARE
- A re-evaluation of random-effects meta-analysis
- (2008) Julian P. T. Higgins et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
- Why add anything to nothing? The arcsine difference as a measure of treatment effect in meta-analysis with zero cells
- (2008) Gerta Rücker et al. STATISTICS IN MEDICINE
- The binomial distribution of meta-analysis was preferred to model within-study variability
- (2007) Taye H. Hamza et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Meta-analysis of continuous outcomes combining individual patient data and aggregate data
- (2007) Richard D. Riley et al. STATISTICS IN MEDICINE
- Allowing for uncertainty due to missing data in meta-analysis—Part 2: Hierarchical models
- (2007) Ian R. White et al. STATISTICS IN MEDICINE
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