scholarly article | Q13442814 |
P50 | author | Thomas P A Debray | Q56520487 |
Boliang Guo | Q57027060 | ||
Karel G. M. Moons | Q104497142 | ||
Ewout W. Steyerberg | Q37828851 | ||
Jonathan Deeks | Q47705879 | ||
P2093 | author name string | Ghada Abo-Zaid | |
Richard David Riley | |||
P2860 | cites work | Cluster randomised trials in the medical literature: two bibliometric surveys | Q21261931 |
Meta-analysis, Simpson's paradox, and the number needed to treat | Q24801908 | ||
Meta-analysis in clinical trials | Q27860779 | ||
Statistical aspects of the analysis of data from retrospective studies of disease | Q27860916 | ||
On the equivalence of meta-analysis using literature and using individual patient data | Q30649849 | ||
Meta-analysis of continuous outcome data from individual patients. | Q30657054 | ||
Meta-analysis of ordinal outcomes using individual patient data. | Q30657056 | ||
To IPD or not to IPD? Advantages and disadvantages of systematic reviews using individual patient data | Q30676636 | ||
Patient age and outcome following severe traumatic brain injury: an analysis of 5600 patients | Q30882480 | ||
Investigating heterogeneity in an individual patient data meta-analysis of time to event outcomes | Q30981851 | ||
Factors affecting the clinical corse of patients with severe head injuries. 1. Influence of biological factors. 2. Significance of posttraumatic coma | Q49151843 | ||
Excluding deep vein thrombosis safely in primary care. | Q51938329 | ||
Combined use of clinical assessment and d-dimer to improve the management of patients presenting to the emergency department with suspected deep vein thrombosis (the EDITED Study). | Q52012405 | ||
A multilevel model framework for meta-analysis of clinical trials with binary outcomes | Q52927136 | ||
Clinical trials in acute myocardial infarction: should we adjust for baseline characteristics? | Q53913222 | ||
Comparison of methods for analysing cluster randomized trials: an example involving a factorial design | Q57404825 | ||
Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach | Q58322344 | ||
Withholding anticoagulation after a negative result on duplex ultrasonography for suspected symptomatic deep venous thrombosis | Q60572227 | ||
Simplification of the diagnostic management of suspected deep vein thrombosis | Q77981903 | ||
A new diagnostic rule for deep vein thrombosis: safety and efficiency in clinically relevant subgroups | Q80531396 | ||
The use of random effects models to allow for clustering in individually randomized trials | Q81462013 | ||
Meta-analysis of individual patient data from randomized trials: a review of methods used in practice. | Q31016826 | ||
Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methods | Q31108600 | ||
A comparison of methods for fixed effects meta-analysis of individual patient data with time to event outcomes | Q31137940 | ||
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 | ||
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 patient data versus aggregate data from longitudinal clinical trials | Q33414055 | ||
Meta-analysis of individual participant data: rationale, conduct, and reporting | Q33530020 | ||
Comparison of one-step and two-step meta-analysis models using individual patient data | Q33547066 | ||
Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data | Q33688254 | ||
Nursing interventions for smoking cessation. | Q33909121 | ||
Evaluation of D-Dimer in the Diagnosis of Suspected Deep-Vein Thrombosis | Q33972711 | ||
Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey | Q34116497 | ||
Individual participant data meta-analysis of prognostic factor studies: state of the art? | Q34244162 | ||
Meta-analysis of the literature or of individual patient data: is there a difference? | Q34334544 | ||
Much ado about nothing: a comparison of the performance of meta-analytical methods with rare events. | Q34510811 | ||
Beta blockade during and after myocardial infarction: an overview of the randomized trials | Q34557544 | ||
Covariate adjustment increased power in randomized controlled trials: an example in traumatic brain injury | Q39538580 | ||
The binomial distribution of meta-analysis was preferred to model within-study variability. | Q46847691 | ||
Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements | Q47416716 | ||
P433 | issue | 8 | |
P921 | main subject | meta-analysis | Q815382 |
P304 | page(s) | 865-873.e4 | |
P577 | publication date | 2013-05-04 | |
P1433 | published in | Journal of Clinical Epidemiology | Q6294959 |
P1476 | title | Individual participant data meta-analyses should not ignore clustering | |
P478 | volume | 66 |
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Q93060077 | Gestational weight gain outside the Institute of Medicine recommendations and adverse pregnancy outcomes: analysis using individual participant data from randomised trials |
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Q45671159 | Meta-analysis of pharmacogenetic interactions in amyotrophic lateral sclerosis clinical trials |
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Q35799667 | Molecular essence and endocrine responsiveness of estrogen receptor-negative, progesterone receptor-positive, and HER2-negative breast cancer |
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Q38904292 | Summarising the Evidence for Drug Safety: A Methodological Discussion of Different Meta-Analysis Approaches. |
Q34525565 | Systematic review of prognostic models for recurrent venous thromboembolism (VTE) post-treatment of first unprovoked VTE. |
Q38764790 | Systematic review of the influence of chemotherapy-associated liver injury on outcome after partial hepatectomy for colorectal liver metastases. |
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