Jeroen Hoogland - Dissemin

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All papers authored by Jeroen Hoogland

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2023 J. Hoogland

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, T. P. A. Debray

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, M. J. Crowther

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, J. B. Reitsma

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, A. H. Zwinderman

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Regularized parametric survival modeling to improve risk prediction models

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Jeroen Hoogland

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, Toshihiko Takada, Maarten van Smeden, Maroeska M. Rovers, An I. de Sutter, Daniel Merenstein, Laurent Kaiser, Helena Liira, Paul Little, Heiner C. Bucher, Karel G. M. Moons, Johannes B. Reitsma, Roderick P. Venekamp

Prognosis and prediction of antibiotic benefit in adults with clinically diagnosed acute rhinosinusitis: an individual participant data meta-analysis

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Valentijn M. T. de Jong

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, Jeroen Hoogland

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, Karel G. M. Moons, Richard D. Riley

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, Tri‐Long Nguyen

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, Thomas P. A. Debray

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Propensity‐based standardization to enhance the validation and interpretation of prediction model discrimination for a target population

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Artuur M. Leeuwenberg, Johannes B. Reitsma, Lisa G. L. J. Van den Bosch, Jeroen Hoogland

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, Arjen van der Schaaf, Frank J. P. Hoebers, Oda B. Wijers, Johannes A. Langendijk, Karel G. M. Moons, Ewoud Schuit

The relation between prediction model performance measures and patient selection outcomes for proton therapy in head and neck cancer

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Orestis Efthimiou

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, Jeroen Hoogland

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, Thomas P. A. Debray

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, Toshiaki A. Furukawa, Matthias Egger, Ian R. White

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Measuring the performance of prediction models to personalize treatment choice

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2022 Toshihiko Takada, Jeroen Hoogland

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, Jens G. Hansen, Morten Lindbaek, Timo Autio, Olli-Pekka Alho, Mark H. Ebell, Johannes B. Reitsma, Roderick P. Venekamp

Diagnostic prediction models for CT-confirmed and bacterial rhinosinusitis in primary care: individual participant data meta-analysis

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Toshihiko Takada

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, Jeroen Hoogland

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, Chris van Lieshout, Ewoud Schuit

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, Gary S. Collins

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, Karel G. M. Moons, Johannes B. Reitsma

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Accuracy of approximations to recover incompletely reported logistic regression models depended on other available information

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Michail Belias

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, Maroeska M. Rovers

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, Jeroen Hoogland

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, Johannes B. Reitsma

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, Thomas P. A. Debray

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, Joanna IntHout

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Predicting personalised absolute treatment effects in individual participant data meta‐analysis: An introduction to splines

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J. Hoogland

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, O. Efthimiou, T. L. Nguyen, T. P. A. Debray

Evaluating individualized treatment effect predictions: a new perspective on discrimination and calibration assessment

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2021 Jeroen Hoogland

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, Joanna IntHout

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, Michail Belias

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, Maroeska M. Rovers

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, Richard D. Riley

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, Frank E. Harrell Jr

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, Karel G. M. Moons

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, Thomas P. A. Debray

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, Johannes B. Reitsma

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A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint

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Roderick P. Venekamp

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, Jeroen Hoogland

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, Maarten van Smeden, Maroeska M. Rovers, An I. De Sutter, Daniel Merenstein, Gerrit A. van Essen, Laurent Kaiser, Helena Liira

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, Heiner Cc Bucher, Johannes B. Reitsma

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Identifying adults with acute rhinosinusitis in primary care that benefit most from antibiotics: protocol of an individual patient data meta-analysis using multivariable risk prediction modelling

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D. Liu, H. I. Oberman, J. Muñoz, J. Hoogland

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, T. P. A. Debray

Quality control, data cleaning, imputation

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Nijman Swj, Groenhof Tkj, Debray Tpa, Steven Willem Joost Nijman, T. Katrien J. Groenhof, Jeroen Hoogland

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, Hoogland J., Michiel L. Bots, Bots Ml, Menno Brandjes, Brandjes M., John J. L. Jacobs, Jacobs Jjl, Folkert W. Asselbergs, Asselbergs Fw and 3 other authors

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

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2020 Steven W. J. Nijman

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, Jeroen Hoogland

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, T. Katrien J. Groenhof, T. Katrien J. Groenhof, Menno Brandjes, John J. L. Jacobs, Michiel L. Bots, Folkert W. Asselbergs, Karel G. M. Moons, Thomas P. A. Debray

Real-time imputation of missing predictor values in clinical practice

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Jeroen Hoogland

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, Marit van Barreveld, Marit Barreveld, Thomas P. A. Debray

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, Johannes B. Reitsma

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, Tom E. Verstraelen

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, Marcel G. W. Dijkgraaf, Aeilko H. Zwinderman

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

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Richard D. Riley

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, Thomas P. A. Debray

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, David Fisher, Miriam Hattle, Nadine Marlin, Jeroen Hoogland

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, Francois Gueyffier, Jan A. Staessen, Jiguang Wang, Karel G. M. Moons, Johannes B. Reitsma

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Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning

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Laure Wynants

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, Ben Van Calster

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, Gary S. Collins

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, Richard D. Riley, Georg Heinze

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, Banafsheh Arshi

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, Vanesa Bellou

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, Marc M. J. Bonten

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, Darren L. Dahly

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, Johanna A. Damen

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, Thomas P. A. Debray

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, Valentijn M. T. de Jong

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, Maarten De Vos

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and 43 other authors

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

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2019 Toshihiko Takada

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, Jeroen Hoogland

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, Tetsuhiro Yano, Kotaro Fujii, Ryuto Fujiishi, Jun Miyashita, Taro Takeshima, Michio Hayashi, Teruhisa Azuma, Karel G. M. Moons

Added value of inflammatory markers to vital signs to predict mortality in patients suspected of severe infection

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Jeroen Hoogland

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, Bart Post, Rob M. A. de Bie

Overall and Disease Related Mortality in Parkinson’s Disease – a Longitudinal Cohort Study

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Stan R. W. Wijn

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, Maroeska M. Rovers, Ly H. Le, Michail Belias, Jeroen Hoogland

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, Joanna IntHout, Thomas Debray, Johannes B. Reitsma

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

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