scholarly article | Q13442814 |
P356 | DOI | 10.1093/IJE/DYQ129 |
P698 | PubMed publication ID | 20660642 |
P50 | author | Richard D. Riley | Q42074601 |
P2860 | cites work | Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies | Q33571265 |
Contour-enhanced meta-analysis funnel plots help distinguish publication bias from other causes of asymmetry | Q37185996 | ||
Construction and validation of a prognostic model across several studies, with an application in superficial bladder cancer | Q56094352 | ||
Bias in meta-analysis detected by a simple, graphical test | Q24685585 | ||
A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis | Q30669346 | ||
Commentary: meta-analysis of individual participants' data in genetic epidemiology | Q30707324 | ||
Investigating heterogeneity in an individual patient data meta-analysis of time to event outcomes | Q30981851 | ||
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 | ||
Meta-analysis of continuous outcomes combining individual patient data and aggregate data | Q31139467 | ||
Meta-analysis of diagnostic test studies using individual patient data and aggregate data | Q33371870 | ||
Systematically missing confounders in individual participant data meta-analysis of observational cohort studies | Q33409918 | ||
Meta-analysis of individual participant data: rationale, conduct, and reporting | Q33530020 | ||
P433 | issue | 5 | |
P921 | main subject | meta-analysis | Q815382 |
P304 | page(s) | 1359-1361 | |
P577 | publication date | 2010-07-26 | |
P1433 | published in | International Journal of Epidemiology | Q6051393 |
P1476 | title | Commentary: like it and lump it? Meta-analysis using individual participant data | |
P478 | volume | 39 |
Q58724509 | Association of longitudinal alcohol consumption trajectories with coronary heart disease: a meta-analysis of six cohort studies using individual participant data |
Q53085491 | Basics of systematic reviews and meta-analyses for the nephrologist |
Q49996939 | Evaluation of biomarkers for treatment selection using individual participant data from multiple clinical trials |
Q47253855 | Excess Weight as a Risk Factor Common to Many Cancer Sites: Words of Caution when Interpreting Meta-analytic Evidence |
Q34244162 | Individual participant data meta-analysis of prognostic factor studies: state of the art? |
Q34335879 | Job strain and alcohol intake: a collaborative meta-analysis of individual-participant data from 140,000 men and women |
Q34335601 | Job strain and tobacco smoking: an individual-participant data meta-analysis of 166,130 adults in 15 European studies |
Q38047715 | Lifestyle modification programmes for patients with coronary heart disease: a systematic review and meta-analysis of randomized controlled trials. |
Q30585374 | Meta-analysis of randomised trials with a continuous outcome according to baseline imbalance and availability of individual participant data |
Q24289043 | Prognostic effect size of cardiovascular biomarkers in datasets from observational studies versus randomised trials: meta-epidemiology study |
Q47116606 | Quantifying heterogeneity in individual participant data meta-analysis with binary outcomes |
Q38887895 | Quantifying the Effects of Expert Selection and Elicitation Design on Experts' Confidence in Their Judgments About Future Energy Technologies |
Q31070259 | Retrieval of Individual Participant Data for Exercise Meta-Analyses May Not Be Worth the Time and Effort |
Q30832114 | Systematic review of methods for individual patient data meta- analysis with binary outcomes |
Q37955189 | The validity and utility of risk assessment for inpatient suicide |
Q44309219 | Validation 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). |
Q31162503 | Vitamin D and mortality: Individual participant data meta-analysis of standardized 25-hydroxyvitamin D in 26916 individuals from a European consortium |
Search more.