Scientific Publications

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Minimum sample size for external validation of a clinical prediction model with a binary outcome. Stat Med.

Patient- and Tumour-related Prognostic Factors for Urinary Incontinence After Radical Prostatectomy for Nonmetastatic Prostate Cancer: A Systematic Review and Meta-analysis. European Eurology Focus.

Developing more generalizable prediction models from pooled studies and large clustered data sets. Stat Med.

Current Trends in the Application of Causal Inference Methods to Pooled Longitudinal Observational Infectious Disease Studies - A Protocol for a Methodological Systematic Review. PLoS One.

Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets . J Clin Epidemiol.

Individual participant data meta-analysis for external validation, recalibration and updating of a flexible parametric prognostic model. Stat Med.

How well can we assess the validity of non-randomised studies of medications? A systematic review of assessment tools. BMJ Open.

External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumb. J Clin Epidemiol.

Real-time imputation of missing predictor values improved the application of prediction models in daily practice. J Clin Epidemiol.

Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?. Diagn Progn Res.

IPD Meta-analysis for Clinical Prediction Model Research. In Individual participant data meta-analysis: a handbook for healthcare research.

Dealing with Missing Data in an IPD Meta-analysis. In Individual participant data meta-analysis: a handbook for healthcare research.

The Two-stage Approach to IPD Meta-analysis. In Individual participant data meta-analysis: a handbook for healthcare research.

The One-stage Approach to IPD Meta-analysis. In Individual participant data meta-analysis: a handbook for healthcare research.

IPD Meta-analysis for Prognostic Factor Research. In Individual participant data meta-analysis: a handbook for healthcare research.

Real-time imputation of missing predictor values in clinical practice. EHJ-DH.

Framework for the synthesis of non-randomised studies and randomised controlled trials: a guidance on conducting a systematic review and meta-analysis for healthcare decision making . BMJ EBM.

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

Handling missing predictor values when validating and applying a prediction model to new patients. Stat Med.

Prognostic models for chronic kidney disease: a systematic review and external validation. Nephrol Dial Transplant.

Strategies to reduce antibiotic use in women with uncomplicated urinary tract infection in primary care: protocol of a systematic review and meta-analysis including individual patient data. BMJ Open.

The Zika Virus Individual Participant Data Consortium: A Global Initiative to Estimate the Effects of Exposure to Zika Virus during Pregnancy on Adverse Fetal, Infant, and Child Health Outcomes. Trop Med Infect Dis.

Bayesian adjustment for preferential testing in estimating the COVID-19 infection fatality rate. .

UMBRELLA protocol: systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure. Diagn Progn Res.

Can personalized treatment prediction improve the outcomes, compared with the group average approach, in a randomized trial? Developing and validating a multivariable prediction model in a pragmatic megatrial of acute treatment for major depression. J Affect Disord.

On the Aggregation of Published Prognostic Scores for Causal Inference in Observational Studies. Stat Med.

Individual participant data meta-analysis to examine interactions between treatment effect and participant-level covariates: statistical recommendations for conduct and planning. Stat Med.

Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal. BMJ.

Systematic review and network meta-analysis with individual participant data on cord management at preterm birth (iCOMP): study protocol. BMJ Open.

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.

Meta-Analysis of Prediction Models. In Handbook of Meta-Analysis.

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.

A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes. Stat Methods Med Res.

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

Evidence synthesis in prognosis research. Diagn Progn Res.

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. Diagn Progn Res.

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.

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.

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.

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.

Contributed Book Chapters

24 Jan 2019
Oxford University Press
7 Sep 2020
Chapman and Hall/CRC
1 Jul 2021
Wiley

The One-stage Approach to IPD Meta-analysis. In Individual participant data meta-analysis: a handbook for healthcare research.

IPD Meta-analysis for Prognostic Factor Research. In Individual participant data meta-analysis: a handbook for healthcare research.

IPD Meta-analysis for Clinical Prediction Model Research. In Individual participant data meta-analysis: a handbook for healthcare research.

Dealing with Missing Data in an IPD Meta-analysis. In Individual participant data meta-analysis: a handbook for healthcare research.

The Two-stage Approach to IPD Meta-analysis. In Individual participant data meta-analysis: a handbook for healthcare research.

Meta-Analysis of Prediction Models. In Handbook of Meta-Analysis.

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.

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.