Commentary: like it and lump it? Meta-analysis using individual participant data

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Commentary: like it and lump it? Meta-analysis using individual participant data is …
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scholarly articleQ13442814

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P356DOI10.1093/IJE/DYQ129
P698PubMed publication ID20660642

P50authorRichard D. RileyQ42074601
P2860cites workStatistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studiesQ33571265
Contour-enhanced meta-analysis funnel plots help distinguish publication bias from other causes of asymmetryQ37185996
Construction and validation of a prognostic model across several studies, with an application in superficial bladder cancerQ56094352
Bias in meta-analysis detected by a simple, graphical testQ24685585
A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysisQ30669346
Commentary: meta-analysis of individual participants' data in genetic epidemiologyQ30707324
Investigating heterogeneity in an individual patient data meta-analysis of time to event outcomesQ30981851
The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseasesQ31129827
Meta-analysis of continuous outcomes combining individual patient data and aggregate dataQ31139467
Meta-analysis of diagnostic test studies using individual patient data and aggregate dataQ33371870
Systematically missing confounders in individual participant data meta-analysis of observational cohort studiesQ33409918
Meta-analysis of individual participant data: rationale, conduct, and reportingQ33530020
P433issue5
P921main subjectmeta-analysisQ815382
P304page(s)1359-1361
P577publication date2010-07-26
P1433published inInternational Journal of EpidemiologyQ6051393
P1476titleCommentary: like it and lump it? Meta-analysis using individual participant data
P478volume39

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cites work (P2860)
Q58724509Association of longitudinal alcohol consumption trajectories with coronary heart disease: a meta-analysis of six cohort studies using individual participant data
Q53085491Basics of systematic reviews and meta-analyses for the nephrologist
Q49996939Evaluation of biomarkers for treatment selection using individual participant data from multiple clinical trials
Q47253855Excess Weight as a Risk Factor Common to Many Cancer Sites: Words of Caution when Interpreting Meta-analytic Evidence
Q34244162Individual participant data meta-analysis of prognostic factor studies: state of the art?
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Q38887895Quantifying the Effects of Expert Selection and Elicitation Design on Experts' Confidence in Their Judgments About Future Energy Technologies
Q31070259Retrieval of Individual Participant Data for Exercise Meta-Analyses May Not Be Worth the Time and Effort
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Q37955189The validity and utility of risk assessment for inpatient suicide
Q44309219Validation of the Care-Related Quality of Life Instrument in different study settings: findings from The Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS-MDS).
Q31162503Vitamin D and mortality: Individual participant data meta-analysis of standardized 25-hydroxyvitamin D in 26916 individuals from a European consortium

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