Showing 21 of 63 works
Showing 8 of 63 works
Showing 12 of 63 works
Showing 5 of 63 works
Showing 7 of 63 works
Showing 3 of 63 works
Showing 4 of 63 works
Showing 3 of 63 works

Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example. Res Synth Methods.

Predicting disability progression in multiple sclerosis: Insights from advanced statistical modeling. Multiple Sclerosis Journal.

Assessment of heterogeneity in an individual participant data meta-analysis of prediction models: An overview and illustration. Stat Med.

Statistical approaches to identify subgroups in meta-analysis of individual participant data: a simulation study. BMC Med Res Methodol.

Guidance from key organisations on exploring, confirming and interpreting subgroup effects of medical treatments: a scoping review. BMJ Open.

Evidence synthesis in prognosis research. Diagnostic and Prognostic Research.

Development and validation of a novel prediction model to identify patients in need of specialized trauma care during field triage: design and rationale of the GOAT study. Diagnostic and Prognostic Research.

Understanding the relation between Zika virus infection during pregnancy and adverse fetal, infant and child outcomes: a protocol for a systematic review and individual participant data meta-analysis of longitudinal studies of pregnant women and their infants and children. BMJ Open.

Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis. BMC Medicine.

Empirical evidence of the impact of study characteristics on the performance of prediction models: a meta-epidemiological study. BMJ Open.

Aspirin drop-in during follow-up: the dangers of informative censoring. Annals of Internal Medicine.

Comparison of fingolimod, dimethyl fumarate and teriflunomide for multiple sclerosis: when methodology does not hold the promise. Journal of Neurology, Neurosurgery & Psychiatry.

A guide to systematic review and meta-analysis of prognostic factor studies. BMJ.

The use of Prognostic Scores for Causal Inference with General Treatment Regimes. Stat Med.

Cardiovascular risk prediction models for women in the general population: A systematic review. PLoS One.

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies. Annals of Internal Medicine.

Fundamental statistical methods for prognosis research. In Prognosis Research in Healthcare: concepts, methods, and impact.

Ten principles to strengthen prognosis research. In Prognosis Research in Healthcare: concepts, methods, and impact.

Prognostic model research. In Prognosis Research in Healthcare: concepts, methods, and impact.

Systematic reviews and meta-analysis of prognosis research studies. In Prognosis Research in Healthcare: concepts, methods, and impact.

Individual participant data meta-analysis of prognosis studies. In Prognosis Research in Healthcare: concepts, methods, and impact.

The development of CHAMP: a checklist for the appraisal of moderators and predictors. BMC Med Res Methodol.

A closed testing procedure to select an appropriate method for updating prediction models. Stat Med.

Meta-analysis of prediction model performance across multiple studies: Which scale helps ensure between-study normality for the C-statistic and calibration measures?. Stat Methods Med Res.

Validation of an imaging based cardiovascular risk score in a Scottish population. Eur J Radiol.

Detecting small-study effects and funnel plot asymmetry in meta-analysis of survival data: a comparison of new and existing tests. Res Synth Methods.

Practical Implications of Using Real-World Evidence in Comparative Effectiveness Research: Learnings from IMI-GetReal. J Comp Eff Res.

Practicalities Of Using Real-World Evidence (RWE) In Comparative Effectiveness Research (CER). Value in Health.

Reporting of Bayesian analysis in epidemiologic research should become more transparent. J Clin Epidemiol.

Predictive performance of the CHA2DS2-VASc rule in atrial fibrillation: a systematic review and meta-analysis. J Thromb Haemost.

Methodological guidance, recommendations and illustrative case studies for (network) meta-analysis and modelling to predict real-world effectiveness using individual participant and/or aggregate data. .

Combining randomized and non-randomized evidence in network meta-analysis. Stat Med.

A guide to systematic review and meta-analysis of prediction model performance. BMJ.