J. Hoogland

发表

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

O. Efthimiou, J. Hoogland, Tl Nguyen, 2022, 2209.06101.

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

M. Ebell, J. Reitsma, O. Alho, 2022, The British journal of general practice : the journal of the Royal College of General Practitioners.

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

T. Katrien J. Groenhof, Folkert W. Asselbergs, Thomas P. A. Debray, 2021 .

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

J. Staessen, J. Reitsma, R. Riley, 2020, Statistics in medicine.

Parkinson's disease mild cognitive impairment: application and validation of the criteria.

A. Tröster, D. Burn, I. Litvan, 2014, Journal of Parkinson's disease.

Quality control, data cleaning, imputation

Jeroen Hoogland, Hanne I. Oberman, Dawei Liu, 2021, 2110.15877.

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

K. Moons, T. Takeshima, Kotaro Fujii, 2019, The American journal of emergency medicine.

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

Johannes B Reitsma, Aeilko H Zwinderman, Thomas P A Debray, 2020, Statistics in medicine.

Real-time imputation of missing predictor values in clinical practice

Karel GM Moons, T Katrien J Groenhof, Michiel L Bots, 2020, European heart journal. Digital health.

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

G. Collins, J. Reitsma, K. Moons, 2021, Journal of Clinical Epidemiology.

Mild cognitive impairment as a risk factor for Parkinson's disease dementia

C. Adler, A. Tröster, D. Burn, 2017, Movement disorders : official journal of the Movement Disorder Society.

Measuring the performance of prediction models to personalize treatment choice

T. Debray, M. Egger, O. Efthimiou, 2023, Statistics in medicine.

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

Richard D Riley, Johannes B Reitsma, Thomas P A Debray, 2021, Statistics in medicine.

Risk of Parkinson's disease dementia related to level I MDS PD‐MCI

C. Adler, A. Tröster, D. Burn, 2019, Movement disorders : official journal of the Movement Disorder Society.

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

B. Post, R. D. de Bie, J. Hoogland, 2019, Journal of Parkinson's disease.

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

J. Reitsma, M. Rovers, T. Debray, 2022, Research synthesis methods.

Catechol‐O‐methyltransferase val158met and cognitive function in Parkinson's disease

B. Schmand, B. Post, R. D. de Bie, 2010, Movement disorders : official journal of the Movement Disorder Society.

Detecting Mild Cognitive Deficits in Parkinson's Disease: Comparison of Neuropsychological Tests

J. Filoteo, C. Adler, P. Eslinger, 2018, Movement disorders : official journal of the Movement Disorder Society.

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

J. Reitsma, M. Rovers, M. van Smeden, 2021, BMJ Open.

Think before you shrink: Alternatives to default shrinkage methods can improve prediction accuracy, calibration and coverage

M. Heymans, M. V. D. Wiel, E. Zwet, 2023, 2301.09890.

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

J. Reitsma, M. Rovers, T. Debray, 2019, BMJ Open.

Methods for Evaluation of medical prediction Models, Tests And Biomarkers (MEMTAB) 2020 Symposium

E. Steyerberg, P. Serruys, J. Staessen, 2021, Diagnostic and Prognostic Research.

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

J. Reitsma, M. Rovers, M. van Smeden, 2023, Diagnostic and Prognostic Research.

Regularized parametric survival modeling to improve risk prediction models

A. Zwinderman, J. Reitsma, T. Debray, 2023, Biometrical journal. Biometrische Zeitschrift.

Mild cognitive impairment as a risk factor for Parkinson's disease dementia

C. Adler, A. Tröster, D. Burn, 2017, Movement disorders : official journal of the Movement Disorder Society.

Feasibility and potential effectiveness of the IdentifEYE training programmes to address mental health problems in adults with vision impairment

R. V. van Nispen, J. Hoogland, Edine P. J. van Munster, 2023, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

Optimising personal continuity for older patients in general practice: a cluster randomised stepped wedge pragmatic trial

O. Maarsingh, A. Uijen, J. Hoogland, 2024, BMJ Open.