1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Utrecht UniversityNL73 papers
- Eindhoven University of TechnologyNL20 papers
- Heidelberg UniversityDE20 papers
- University Hospital HeidelbergDE18 papers
- Radboud University NijmegenNL17 papers
- University of AmsterdamNL16 papers
- Leiden University Medical CenterNL13 papers
- Radboud University Medical CenterNL11 papers
- University College LondonGB9 papers
- Amsterdam University Medical CentersNL8 papers
- Delft University of TechnologyNL7 papers
- King's College LondonGB7 papers
15 papers · 1 filter
Treatment effect estimation by comparing observed and predicted outcomes: conditions for valid inference and practical illustration
Lotta M. Meijerink, Artuur M. Leeuwenberg, Jungyeon Choi +6
Prediction models developed before the introduction of a new treatment may be used to estimate treatment effects of newly introduced treatments. One approach, known as model-based…
Clustered Flexible Calibration Plots For Binary Outcomes Using Random Effects Modeling
Lasai Barreñada, Bavo D. C. Campo, Laure Wynants +1
Evaluation of clinical prediction models across multiple clusters, whether centers or datasets, is becoming increasingly common. A comprehensive evaluation includes an assessment o…
Risk-based decision making: estimands for sequential prediction under interventions
Kim Luijken, Paweł Morzywołek, Wouter van Amsterdam +14
Prediction models are used amongst others to inform medical decisions on interventions. Typically, individuals with high risks of adverse outcomes are advised to undergo an interve…
The Trial within Cohorts (TwiCs) study design in oncology: Experience and methodological reflections
Rob Kessels, Anne M. May, Miriam Koopman +1
A Trial within Cohorts (TwiCs) study design is a trial design that uses the infrastructure of an observational cohort study to initiate a randomized trial. Upon cohort enrollment,…
Inconsistency identification in network meta-analysis via stochastic search variable selection
Georgios Seitidis, Stavros Nikolakopoulos, Ioannis Ntzoufras +1
The reliability of the results of network meta-analysis (NMA) lies in the plausibility of key assumption of transitivity. This assumption implies that the effect modifiers' distrib…
Perpetual Observational Studies: New strategies to support efficient implementation of observational studies and randomized trials in the infectious diseases arena
N. Hassoun-Kheir, C. H. van Werkhoven, J. Dunning +17
The increasing threat of emerging infectious diseases and antimicrobial resistance requires more efficient, high-quality research. Perpetual Observational Studies (POS) nested with…
Conditional average treatment effect estimation with marginally constrained models
Wouter A. C. van Amsterdam, Rajesh Ranganath
Treatment effect estimates are often available from randomized controlled trials as a single average treatment effect for a certain patient population. Estimates of the conditional…
Bayesian Model-Averaged Meta-Analysis in Medicine
František Bartoš, Quentin F. Gronau, Bram Timmers +3
We outline a Bayesian model-averaged meta-analysis for standardized mean differences in order to quantify evidence for both treatment effectiveness and across-study heterogenei…
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint
J Hoogland, J IntHout, M Belias +6
Randomized trials typically estimate average relative treatment effects, but decisions on the benefit of a treatment are possibly better informed by more individualized predictions…
Misuse of the sign test in narrative synthesis of evidence
Stavros Nikolakopoulos
In narrative synthesis of evidence, it can be the case that the only quantitative measures available concerning the efficacy of an intervention is the direction of the effect, i.e.…
Statistical Integration of Heterogeneous Data with PO2PLS
Said el Bouhaddani, Hae-Won Uh, Geurt Jongbloed +1
The availability of multi-omics data has revolutionized the life sciences by creating avenues for integrated system-level approaches. Data integration links the information across…
Extending the Mann-Kendall test to allow for measurement uncertainty
Stavros Nikolakopoulos, Eric Cator, Mart P. Janssen
The Mann-Kendall test for trend has gained a lot of attention in a range of disciplines, especially in the environmental sciences. One of the drawbacks of the Mann-Kendall test whe…
Comparing methods addressing multi-collinearity when developing prediction models
Artuur M. Leeuwenberg, Maarten van Smeden, Johannes A. Langendijk +5
Clinical prediction models are developed widely across medical disciplines. When predictors in such models are highly collinear, unexpected or spurious predictor-outcome associatio…
Measurement Error in Meta-Analysis (MEMA) -- a Bayesian framework for continuous outcome data
Harlan Campbell, Valentijn M. T. de Jong, Lauren Maxwell +3
Ideally, a meta-analysis will summarize data from several unbiased studies. Here we consider the less than ideal situation in which contributing studies may be compromised by measu…
Probabilistic partial least squares model: Identifiability, estimation and application
Said el Bouhaddani, Hae-Won Uh, Caroline Hayward +2
With a rapid increase in volume and complexity of data sets, there is a need for methods that can extract useful information, for example the relationship between two data sets mea…