Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies. - Wikidata - awgldk - TriplyDB

Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies.

Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies.

http://www.wikidata.org/entity/Q33571265

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Individual participant data meta-analysis for a binary outcome: one-stage or two-stage?Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies Triglyceride-mediated pathways and coronary disease: collaborative analysis of 101 studies Association of Cardiometabolic Multimorbidity With Mortality Age and gender differences in physical capability levels from mid-life onwards: the harmonisation and meta-analysis of data from eight UK cohort studies Meta-analysis of randomised trials with a continuous outcome according to baseline imbalance and availability of individual participant data.Aortic pulse wave velocity improves cardiovascular event prediction: an individual participant meta-analysis of prospective observational data from 17,635 subjects Assessing risk prediction models using individual participant data from multiple studies Meta-analyses using individual participant data from cardiovascular cohort studies in Japan: current status and future directions.Multilevel mixed effects parametric survival models using adaptive Gauss-Hermite quadrature with application to recurrent events and individual participant data meta-analysis.Multivariate meta-analysis using individual participant data.Get real in individual participant data (IPD) meta-analysis: a review of the methodology Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis.Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ.One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial information Commentary: like it and lump it? Meta-analysis using individual participant data.The link between family history and risk of type 2 diabetes is not explained by anthropometric, lifestyle or genetic risk factors: the EPIC-InterAct study.Relative risks of chronic kidney disease for mortality and end-stage renal disease across races are similar.Diabetes mellitus, fasting glucose, and risk of cause-specific death.Retinal vascular caliber and the development of hypertension: a meta-analysis of individual participant data.Obesity and mortality: are the risks declining? Evidence from multiple prospective studies in the United States Glycated hemoglobin measurement and prediction of cardiovascular disease.Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies.Individual patient data meta-analysis of survival data using Poisson regression models.Individual participant data meta-analysis of prognostic factor studies: state of the art?Job strain and tobacco smoking: an individual-participant data meta-analysis of 166,130 adults in 15 European studies.Job strain and alcohol intake: a collaborative meta-analysis of individual-participant data from 140,000 men and women.Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: study design and methods for pooling results of genetic epidemiological studies Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents.The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis.Resting heart rate and risk of incident heart failure: three prospective cohort studies and a systematic meta-analysis A review of published analyses of case-cohort studies and recommendations for future reporting.Adult height and the risk of cause-specific death and vascular morbidity in 1 million people: individual participant meta-analysis A method making fewer assumptions gave the most reliable estimates of exposure-outcome associations in stratified case-cohort studies Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction: An Individual-Participant-Data Meta-Analysis.A reference relative time-scale as an alternative to chronological age for cohorts with long follow-up Multivariate meta-analysis for non-linear and other multi-parameter associations Retinal microvascular calibre and risk of diabetes mellitus: a systematic review and participant-level meta-analysis.Within-person variability in calculated risk factors: comparing the aetiological association of adiposity ratios with risk of coronary heart disease Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis

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P2860

Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies.

http://www.wikidata.org/entity/Q33571265

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2010 nî lūn-bûn

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2010年の論文

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International Journal of Epidemiology

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Angela Wood

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Ian White

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John Danesh

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P2860

Measuring inconsistency in meta-analyses

Quantifying heterogeneity in a meta-analysis

Meta-analysis in clinical trials

Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies

How should meta-regression analyses be undertaken and interpreted?

Breast cancer and abortion: collaborative reanalysis of data from 53 epidemiological studies, including 83?000 women with breast cancer from 16 countries

Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond

Blood pressure, stroke, and coronary heart disease. Part 1, Prolonged differences in blood pressure: prospective observational studies corrected for the regression dilution bias

A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis.

Review of analytical methods for prospective cohort studies using time to event data: single studies and implications for meta-analysis.

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1345-1359

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5

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39

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Emerging Risk Factors Collaboration

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2010-05-03T00:00:00Z

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44570401

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2972437

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