Welcome to our research page featuring recent publications in the field of biostatistics and epidemiology! These fields play a crucial role in advancing our understanding of the causes, prevention, and treatment of various health conditions. Our team is dedicated to advancing the field through innovative studies and cutting-edge statistical analyses. On this page, you will find our collection of research publications describing the development of new statistical methods and their application to real-world data. Please feel free to contact us with any questions or comments.
Development and validation of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis. Lancet Child Adolesc. Health.
Measuring the performance of prediction models to personalize treatment choice . Stat Med.
Implementing clinical trial data sharing requires training a new generation of biomedical researchers. Nat. Med..
Dealing with missing data using the Heckman selection model: methods primer for epidemiologists. Int. J. Epidemiol..
Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist. BMJ.
Adjusting for misclassification of an exposure in an individual participant data meta-analysis. Res Synth Methods.
Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis. BMJ.
Reducing antibiotic use in uncomplicated urinary tract infections in adult women: a systematic review and individual participant data meta-analysis. Clin Microbiol Infect.
Personalizing treatment in end-stage kidney disease: deciding between hemodiafiltration and hemodialysis based on individualized treatment effect prediction. Clinical Kidney Journal.
Combining individual patient data from randomized and non-randomized studies to predict real-world effectiveness of interventions. Stat Methods Med Res.
Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic. Ann. Appl. Stat. .
Recommendations for the Use of Propensity Score Methods in Multiple Sclerosis Research. Multiple Sclerosis Journal.
ISPE-endorsed guidance in using electronic health records for comparative effectiveness research in COVID-19: opportunities and trade-offs. Clin Pharma and Therapeutics.
Development of a clinical prediction model for perinatal deaths in low resource settings. EClinicalMedicine.
Systematic Review Reveals Lack of Causal Methodology Applied to Pooled Longitudinal Observational Infectious Disease Studies. J Clin Epidemiol.
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. NPJ Digit.
Predicting personalised absolute treatment effects in individual participant data meta-analysis: an introduction to splines. Res Synth Methods.
Systematic Reviews of Prediction Models. In Systematic Reviews in Health Research.
Systematic Reviews of Prognostic Factor Studies. In Systematic Reviews in Health Research.
A few things to consider when deciding whether or not to conduct underpowered research. J Clin Epidemiol.
Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review. J Clin Epidemiol.
Current trends in the application of causal inference methods to pooled longitudinal non-randomised data: a protocol for a methodological systematic review. BMJ Open.
Prognostic models for chronic kidney disease: a systematic review and external validation. Nephrol Dial Transplant.
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint. Stat Med.
Measurement Error in Meta-Analysis (MEMA) - a Bayesian framework for continuous outcome data subject to non-differential measurement error. Stat Med.
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.
Dealing with Missing Data in an IPD Meta-analysis. In Individual Participant Data Meta-Analysis.
IPD Meta-analysis for Clinical Prediction Model Research. In Individual Participant Data Meta-Analysis.
IPD Meta-analysis for Prognostic Factor Research. In Individual Participant Data Meta-Analysis.
The One-stage Approach to IPD Meta-analysis. In Individual Participant Data Meta-Analysis.
The Two-stage Approach to IPD Meta-analysis. In Individual Participant Data Meta-Analysis.
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.
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.
Individual participant data meta-analysis of prognosis studies. In Prognosis Research in Healthcare.
Systematic reviews and meta-analysis of prognosis research studies. In Prognosis Research in Healthcare.
Prognostic model research. In Prognosis Research in Healthcare.
Ten principles to strengthen prognosis research. In Prognosis Research in Healthcare.
Fundamental statistical methods for prognosis research. In Prognosis Research in Healthcare.
The life expectancy of Stephen Hawking, according to the ENCALS model. Lancet Neurology.
Prognostic models for predicting the severity and mortality in people with acute pancreatitis. Cochrane Database of Systematic Reviews.
Multiple imputation for multilevel data with continuous and binary variables. Stat Sci.
An overview of methods for network meta-analysis using individual participant data: when do benefits arise?. Stat Methods Med Res.
Prediction of personalised prognosis in patients with amyotrophic lateral sclerosis: development and validation of a prediction model. Lancet Neurology.
Predicition models for delayed graft function: external validation on The Dutch Prospective Renal Transplantation Registry. Nephrol Dial Transplant.
Exacerbations in adults with asthma: A systematic review and external validation of prediction models. J Allergy Clin Immunol Pract.
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.
GetReal in network meta-analysis: a review of the methodology. Res Synth Methods.
GetReal in mathematical modelling: a review of studies predicting drug effectiveness in the real world. Res Synth Methods.
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges. BMJ.
Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ.
Explicit inclusion of treatment in prognostic modeling was recommended in observational and randomized settings. J Clin Epidemiol.
Isoniazid Prophylactic Therapy for the Prevention of Tuberculosis in HIV Infected Adults: A Systematic Review and Meta-Analysis of Randomized Trials. PLoS One.
Individual participant data (IPD) meta-analyses of diagnostic and prognostic modeling studies: guidance on their use. PLoS Med.
Get real in individual participant data (IPD) meta-analysis: a review of the methodology. Res Synth Methods.
Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model. J Clin Epidemiol.
Summarising and validating test accuracy results across multiple studies for use in clinical practice. Stat Med.
Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE. Stat Med.
Qualitative elastography can replace thyroid nodule fine-needle aspiration in patients with soft thyroid nodules. A systematic review and meta-analysis. Eur J Radiol.
A new framework to enhance the interpretation of external validation studies of clinical prediction models. J Clin Epidemiol.
Meta-analysis and aggregation of multiple published prediction models. Stat Med.
Developing and validating risk prediction models in an individual participant data meta-analysis. BMC Med Res Methodol.
Clinical prediction models for bronchopulmonary dysplasia: a systematic review and external validation study. BMC Pediatr.
Individual participant data meta-analyses should not ignore clustering. J Clin Epidemiol.
Individual participant data meta-analysis for a binary outcome: one-stage or two-stage?. PLoS One.
A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis. Stat Med.
Aggregating published prediction models with individual patient data: a comparison of different approaches. Stat Med.
Incorporating published univariable associations in diagnostic and prognostic modeling. BMC Med Res Methodol.
Development and validation of clinical prediction models: marginal differences between logistic regression, penalized maximum likelihood estimation, and genetic programming. J Clin Epidemiol.