scholarly article | Q13442814 |
meta-analysis | Q815382 |
P356 | DOI | 10.1093/IJE/DYQ063 |
P8608 | Fatcat ID | release_byrr2jw3yrh2fkqkvjgw2nzglm |
P932 | PMC publication ID | 2972437 |
P698 | PubMed publication ID | 20439481 |
P5875 | ResearchGate publication ID | 44570401 |
P50 | author | John Danesh | Q22277498 |
Hermann Brenner | Q28958315 | ||
Dietrich Rothenbacher | Q28958446 | ||
Ian R White | Q63381435 | ||
Emerging Risk Factors Collaboration | Q66473922 | ||
Lucy T. Lennon | Q43983894 | ||
P2093 | author name string | Simon Thompson | |
Stephen Kaptoge | |||
Angela Wood | |||
Philip Perry | |||
P2860 | cites work | Measuring inconsistency in meta-analyses | Q27860655 |
Quantifying heterogeneity in a meta-analysis | Q27860672 | ||
Meta-analysis in clinical trials | Q27860779 | ||
Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies | Q28036762 | ||
How should meta-regression analyses be undertaken and interpreted? | Q28193388 | ||
Breast cancer and abortion: collaborative reanalysis of data from 53 epidemiological studies, including 83?000 women with breast cancer from 16 countries | Q28253322 | ||
Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond | Q29614697 | ||
Blood pressure, stroke, and coronary heart disease. Part 1, Prolonged differences in blood pressure: prospective observational studies corrected for the regression dilution bias | Q29616292 | ||
Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error. | Q52868415 | ||
Collaborative overview ('meta-analysis') of prospective observational studies of the associations of usual blood pressure and usual cholesterol levels with common causes of death: protocol for the second cycle of the Prospective Studies Collaboratio | Q52916328 | ||
Plasma fibrinogen level and the risk of major cardiovascular diseases and nonvascular mortality: an individual participant meta-analysis | Q52993523 | ||
Regression dilution methods for meta-analysis: assessing long-term variability in plasma fibrinogen among 27,247 adults in 15 prospective studies | Q53014252 | ||
Associations of Plasma Fibrinogen Levels with Established Cardiovascular Disease Risk Factors, Inflammatory Markers, and Other Characteristics: Individual Participant Meta-Analysis of 154,211 Adults in 31 Prospective Studies: The Fibrinogen Studies C | Q57108960 | ||
Underestimation of Risk Associations Due to Regression Dilution in Long-term Follow-up of Prospective Studies | Q57241619 | ||
The use of fractional polynomials to model continuous risk variables in epidemiology | Q73272268 | ||
The Public Population Project in Genomics (P3G): a proof of concept? | Q80997985 | ||
A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis | Q30669346 | ||
Review of analytical methods for prospective cohort studies using time to event data: single studies and implications for meta-analysis | Q30820648 | ||
Investigating heterogeneity in an individual patient data meta-analysis of time to event outcomes | Q30981851 | ||
Improving ecological inference using individual-level data | Q31010622 | ||
Meta-analysis of individual patient data from randomized trials: a review of methods used in practice. | Q31016826 | ||
Covariate heterogeneity in meta-analysis: criteria for deciding between meta-regression and individual patient data | Q31088951 | ||
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 diseases | Q31129827 | ||
Blood cholesterol and vascular mortality by age, sex, and blood pressure: a meta-analysis of individual data from 61 prospective studies with 55,000 vascular deaths | Q31139036 | ||
Meta-analysis of continuous outcomes combining individual patient data and aggregate data | Q31139467 | ||
Comparison of Meta-Analysis Versus Analysis of Variance of Individual Patient Data | Q32067832 | ||
The UK Biobank sample handling and storage protocol for the collection, processing and archiving of human blood and urine | Q33326512 | ||
Systematically missing confounders in individual participant data meta-analysis of observational cohort studies | Q33409918 | ||
Correcting for multivariate measurement error by regression calibration in meta-analyses of epidemiological studies | Q34092205 | ||
Case-control designs in the study of common diseases: updates on the demise of the rare disease assumption and the choice of sampling scheme for controls | Q34215438 | ||
Diet and cancer--the European Prospective Investigation into Cancer and Nutrition. | Q34302396 | ||
Cancer Incidence in BRCA1 mutation carriers | Q34527264 | ||
The association between common vitamin D receptor gene variations and osteoporosis: a participant-level meta-analysis | Q34569981 | ||
C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis | Q35182277 | ||
Lipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality | Q35737842 | ||
Major lipids, apolipoproteins, and risk of vascular disease | Q35771393 | ||
Treating individuals 4: can meta-analysis help target interventions at individuals most likely to benefit? | Q36017145 | ||
An evaluation of bivariate random-effects meta-analysis for the joint synthesis of two correlated outcomes. | Q36417018 | ||
Practical methodology of meta-analyses (overviews) using updated individual patient data. Cochrane Working Group | Q36790212 | ||
Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors | Q39605793 | ||
Use and misuse of the receiver operating characteristic curve in risk prediction | Q40241086 | ||
A re-evaluation of random-effects meta-analysis. | Q41866179 | ||
Correction of logistic regression relative risk estimates and confidence intervals for measurement error: the case of multiple covariates measured with error | Q43955300 | ||
Analysis of case-cohort designs | Q44143102 | ||
Random-effects model for meta-analysis of clinical trials: an update | Q44449763 | ||
Floating absolute risk: an alternative to relative risk in survival and case-control analysis avoiding an arbitrary reference group | Q44693258 | ||
Comparing smoothing techniques in Cox models for exposure-response relationships | Q44968140 | ||
Measures to assess the prognostic ability of the stratified Cox proportional hazards model | Q45789511 | ||
Methods for pooling results of epidemiologic studies: the Pooling Project of Prospective Studies of Diet and Cancer | Q51943445 | ||
Improved estimates of floating absolute risk | Q52005780 | ||
Explaining heterogeneity in meta-analysis: a comparison of methods | Q52141807 | ||
Measurement error, instrumental variables and corrections for attenuation with applications to meta-analyses | Q52375467 | ||
Statistical methods in cancer research. Volume I - The analysis of case-control studies. | Q52768696 | ||
P433 | issue | 5 | |
P921 | main subject | statistics | Q12483 |
epidemiology | Q133805 | ||
P304 | page(s) | 1345-1359 | |
P577 | publication date | 2010-05-03 | |
P1433 | published in | International Journal of Epidemiology | Q6051393 |
P1476 | title | Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies | |
P478 | volume | 39 |
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