Výsledky vyhledávání - "van Houwelingen, Hans"

Report

Effective sample size: a measure of individual uncertainty in predictions

Autor: Thomassen, Doranne, Cessie, Saskia le, van Houwelingen, Hans, Steyerberg, Ewout

Clinical prediction models are estimated using a sample of limited size from the target population, leading to uncertainty in predictions, even when the model is correctly specified. Generally, not all patient profiles are observed uniformly in model

Externí odkaz: http://arxiv.org/abs/2309.09824

Zobrazit plný text záznamu

Report

Landmarking 2.0: Bridging the gap between joint models and landmarking

Autor: Putter, Hein, van Houwelingen, Hans C.

The problem of dynamic prediction with time-dependent covariates, given by biomarkers, repeatedly measured over time, has received much attention over the last decades. Two contrasting approaches have become in widespread use. The first is joint mode

Externí odkaz: http://arxiv.org/abs/2103.16252

Zobrazit plný text záznamu

Report

Empirical Bayes methods for monitoring health care quality

Autor: van Houwelingen, Hans C., Brand, Ronald, Louis, Thomas A.

The paper discusses empirical Bayes methodology for repeated quality comparisons of health care institutions using data from the Dutch VOKS study that annually monitors the relative performance and quality of nearly all Dutch gynecological centres wi

Externí odkaz: http://arxiv.org/abs/2009.03058

Zobrazit plný text záznamu

Report

Analysis of time-to-event for observational studies: Guidance to the use of intensity models

Autor: Andersen, Per Kragh, Perme, Maja Pohar, van Houwelingen, Hans C, Cook, Richard J, Joly, Pierre, Martinussen, Torben, Taylor, Jeremy MG, Abrahamowicz, Michal, Therneau, Terry M

This paper provides guidance for researchers with some mathematical background on the conduct of time-to-event analysis in observational studies based on intensity (hazard) models. Discussions of basic concepts like time axis, event definition and ce

Externí odkaz: http://arxiv.org/abs/2005.13271

Zobrazit plný text záznamu

Report

Prediction meets causal inference: the role of treatment in clinical prediction models

Autor: van Geloven, Nan, Swanson, Sonja, Ramspek, Chava, Luijken, Kim, van Diepen, Merel, Morris, Tim, Groenwold, Rolf, van Houwelingen, Hans, Putter, Hein, Cessie, Saskia le

Publikováno v: European Journal of Epidemiology 2020

In this paper we study approaches for dealing with treatment when developing a clinical prediction model. Analogous to the estimand framework recently proposed by the European Medicines Agency for clinical trials, we propose a `predictimand' framewor

Externí odkaz: http://arxiv.org/abs/2004.06998

Zobrazit plný text záznamu