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.
Recommendations for the Use of Propensity Score Methods in Multiple Sclerosis Research. Multiple Sclerosis Journal.
Systematic Reviews of Prognostic Factor Studies. In Systematic Reviews in Health Research.
Systematic Reviews of Prediction Models. In Systematic Reviews in Health Research.
Prognostic models for chronic kidney disease: a systematic review and external validation. Nephrol Dial Transplant.
The Two-stage Approach to IPD Meta-analysis. In Individual Participant Data Meta-Analysis.
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.
Predicting disability progression in multiple sclerosis: Insights from advanced statistical modeling. Multiple Sclerosis Journal.
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.
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.
Meta-Analysis of Prediction Models. In Handbook of Meta-Analysis.
Evidence synthesis in prognosis research. 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.
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.
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.
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.
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.
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.
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. .
GetReal in network meta-analysis: a review of the methodology. Res Synth Methods.
Individual participant data meta-analyses should not ignore clustering. J Clin Epidemiol.
Incorporating published univariable associations in diagnostic and prognostic modeling. BMC Med Res Methodol.