Statistical methods for IPD subgroup meta-analyses
Statistical methods for meta-analysis
... Abstract Meta-analysis has become a widely-used tool to combine findings from independent studies in various research ...and meta-analyses, such as assessing heterogeneity in the presence of ...
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Individual Participant Data (IPD) Meta-analyses of Randomised Controlled Trials: Guidance on Their Use
... appropriate analyses, they will most likely pro- vide reliable assessments of the effects of ...of IPD in systematic reviews, as a consequence of the drive for greater sharing of data held within trials, ...
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Age-treatment subgroup analyses in Cochrane intervention reviews: a meta-epidemiological study
... credibility. Meta-analyses can be used to examine the validity of potential subgroup differences by collating evidence across ...age-treatment subgroup analyses in Cochrane reviews. ...
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A meta-epidemiological study of subgroup analyses in cochrane systematic reviews of atrial fibrillation
... to statistical heterogeneity, characterized by different magni- tudes of treatment effect observed between studies in meta-analysis ...[6]. Meta-regression is another method for assessing the ...
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Methods for estimating subgroup effects in cost-effectiveness analyses that use observational data.
... This study is a rare example of a full economic evaluation alongside a crossover trial. This raised certain methodologic issues, in particular that all the results are based on paired differences within patients, which ...
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Improved dietary guidelines for vitamin D: application of individual participant data (IPD)-level meta-regression analyses
... Author Contributions: The following authors undertook the systematic search and identification of vitamin D RCTs which met with specified inclusion criteria: Kevin D. Cashman and Mairead Kiely; The following authors ...
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Statistical methods in the meta-analysis of prevalence of human diseases
... several methods can be used to do further analyses such as performing subgroup analysis, excluding the outlying studies, and conducting random effects analysis and ...the meta-analysis when ...
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Methods for Meta–Analyses of Rare Events, Sparse Data, and Heterogeneity
... well–conducted meta–analysis can help leverage the increasingly open availability of data from across many sources to address research questions that cannot be fully understood within the limits of a single ...
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Sex based subgroup differences in randomized controlled trials: Empirical evidence from Cochrane meta-analyses
... and analyses for studies in verte- brate animals and ...sex subgroup analyses without considering biological or clinical ...sex subgroup analyses in trials with- out generating a ...
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Model-Based Recursive Partitioning for Subgroup Analyses
... Keywords: subgroup analysis, personalized medicine, treatment efficacy, permutation test, amyotrophic lateral sclerosis 1 Introduction With the rise of personalised medicine, the search for individual treatments ...
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The effects of clinical and statistical heterogeneity on the predictive values of results from meta-analyses
... model meta-analyses were performed of simulated randomized controlled trials evaluating a certain intervention that had varying amounts of heterogeneity, with the following ...multiple ...
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Statistical analyses and quality of individual participant data network meta-analyses were suboptimal: a cross-sectional study
... and statistical approaches for missing par- ticipant data were often insufficiently reported in IPD indirect comparison studies [ 3 ...our analyses of ...the statistical methods, ...
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Recursive partitioning based approaches for low back pain subgroup identification in individual patient data meta analyses
... against subgroup analyses, many still see the advantages and still perform ...in subgroup analyses. Generally speaking, subgroup analyses that are performed are exploratory in ...
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Thresholds for statistical and clinical significance in systematic reviews with meta-analytic methods
... valid meta-analysis method ...of statistical heterogeneity (the be- tween trial variance of the estimated intervention effects is close to zero [23]), then the fixed-effect and the random- effects models ...
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A comparison of the statistical performance of different meta-analysis models for the synthesis of subgroup effects from randomized clinical trials
... effect (corresponding to model 6 in the present study), one model with the same characteristics of the previous one but that separated the within- and between-trials associations (corresponding to model 3 in the present ...
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Exacerbation heterogeneity in COPD: subgroup analyses from the FLAME study
... The statistical methods used to analyze the endpoints have been described ...the statistical analyses. The analyses were performed on the full analysis set, which included all ...
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Meta-analysis and The Cochrane Collaboration: 20 years of the Cochrane Statistical Methods Group
... as subgroup analysis and meta-regression, although the pitfalls of such post-hoc analyses have been highlighted ...While meta-regression has not been implemented in RevMan, since this method ...
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Patient-reported outcomes in meta-analyses -Part 2: methods for improving interpretability for decision-makers
... of the underlying statistical assumptions and methods, is available in an earlier review [25]. When trials all use the same PRO it is important to report results beyond a mean difference and ...
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Methods to investigate gene-strata interaction in genome-wide association meta-analyses on the example of obesity
... Chatterjee, 2008; Piegorsch, Weinberg, & Taylor, 1994). Their applicability to continuous outcomes, and to the large-scale GWAMA setting, may be limited and has not yet been shown. A structured and detailed comparison of ...
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Systematic review of methods used in meta-analyses where a primary outcome is an adverse or unintended event
... lished meta-analyses where the primary outcome was an adverse or unintended ...the meta-analyses, use of fixed or random effect(s) measures, how to deal with zero events in study arms, and how ...
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