D. Kent

发表

Does poor methodological quality of prediction modeling studies translate to poor model performance? An illustration in traumatic brain injury

D. van Klaveren, E. Steyerberg, H. Lingsma, 2022, Diagnostic and Prognostic Research.

Performance metrics for models designed to predict individualized treatment effect

Hester F. Lingsma, D. van Klaveren, D. Kent, 2022, medRxiv.

Individualized treatment effect was predicted best by modeling baseline risk in interaction with treatment assignment

E. Steyerberg, P. Rijnbeek, A. Rekkas, 2022, 2205.01717.

COVID Outcome Prediction in the Emergency Department (COPE): Development and validation of a model for predicting death and need for intensive care in COVID-19 patients

Hester F. Lingsma, J. Miedema, M. Kamps, 2021 .

Development of Parkinson's disease and its relationship with incidentally-discovered white matter disease and covert brain infarction in a real world cohort

Lester Y. Leung, J. Nelson, D. Kallmes, 2022, medRxiv.

Percutaneous Left Atrial Appendage Occlusion in Comparison to Non‐Vitamin K Antagonist Oral Anticoagulant Among Patients With Atrial Fibrillation

P. Noseworthy, B. Gersh, J. Graff‐Radford, 2022, Journal of the American Heart Association.

Development of Parkinson Disease and Its Relationship with Incidentally Discovered White Matter Disease and Covert Brain Infarction in a Real‐World Cohort

Lester Y. Leung, J. Nelson, D. Kallmes, 2022 .

An Electronic Health Record e Compatible Model to Predict Personalized Treatment Effects From the Diabetes Prevention Program: A Cross-Evidence Synthesis Approach Using Clinical Trial and Real-World Data

J. Nelson, Carolyn Koenig, A. Pittas, 2022 .

Association of Atrial Septal Aneurysm and Shunt Size With Stroke Recurrence and Benefit From Patent Foramen Ovale Closure.

J. Carroll, J. Nelson, G. Chatellier, 2022, JAMA neurology.

Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients

Theodoros P. Zanos, Todd J. Levy, D. van Klaveren, 2022, Nature Communications.

Prognostic models for COVID-19 needed updating to warrant transportability over time and space

Theodoros P. Zanos, Todd J. Levy, Jinny G. Park, 2022, BMC Medicine.

External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature

Jinny G. Park, B. Wessler, J. Nelson, 2021, medRxiv.

Risk Prediction Models for Patients With Chronic Kidney Disease

Katrin Uhlig, Claudio Rigatto, N. Tangri, 2013, Annals of Internal Medicine.

US and Dutch Perspectives on the Use of COVID-19 Clinical Prediction Models: Findings from a Qualitative Analysis

Hester F. Lingsma, Jinny G. Park, J. Nelson, 2023, Medical decision making : an international journal of the Society for Medical Decision Making.

Association of Preexisting Heart Failure With Outcomes in Older Patients With Diffuse Large B-Cell Lymphoma.

J. Friedberg, J. Nelson, A. Rodday, 2023, JAMA cardiology.

COVID outcome prediction in the emergency department (COPE): using retrospective Dutch hospital data to develop simple and valid models for predicting mortality and need for intensive care unit admission in patients who present at the emergency department with suspected COVID-19

Hester F. Lingsma, D. van Klaveren, E. van Nood, 2021, BMJ Open.

External Validation of the FREEDOM Score for Individualized Decision Making Between CABG and PCI.

David M. Kent, D. van Klaveren, E. Steyerberg, 2022, Journal of the American College of Cardiology.

An Electronic Health Record Compatible Model to Predict Personalized Treatment Effects from the Diabetes Prevention Program: A Cross-Evidence Synthesis Approach Using Clinical Trial and Real World Data

J. Nelson, D. van Klaveren, Carolyn Koenig, 2021, medRxiv.

Association of Incidentally Discovered Covert Cerebrovascular Disease Identified Using Natural Language Processing and Future Dementia

Eric J. Puttock, Lester Y. Leung, J. Nelson, 2022, Journal of the American Heart Association.

Baseline characteristics predict risk of progression and response to combined medical therapy for benign prostatic hyperplasia (BPH)

David M Kent, Jason Nelson, J. Nelson, 2015, BJU international.

Comorbidity and health-related quality of life in people with a chronic medical condition in randomised clinical trials: An individual participant data meta-analysis

S. Wild, B. Guthrie, N. Welton, 2023, PLoS medicine.

All-cause mortality as the primary endpoint for the GRAIL/National Health Service England multi-cancer screening trial

H. Welch, D. Kent, David Carr, 2021, Journal of medical screening.

Machine learning to deal with missing disability status: Ascertainment and imputation of outcomes should be distinguished

E. Steyerberg, D. Kent, 2022, Multiple sclerosis journal - experimental, translational and clinical.

Predicting Chronic Opioid Use Among Patients With Osteoarthritis Using Electronic Health Record Data

L. Nicholls, Elizabeth L Ciemins, Nikita Stempniewicz, 2022, Arthritis care & research.

Subgroup Analyses in Randomized Controlled Trials: The Need for Risk Stratification in Kidney Transplantation

E. Balk, H. Ekberg, M. Wagner, 2009, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

Overall average treatment effects from clinical trials, one-variable-at-a-time subgroup analyses and predictive approaches to heterogeneous treatment effects: Toward a more patient-centered evidence-based medicine

D. Kent, 2023, Clinical trials.

Estimating individualized treatment effects from randomized controlled trials: a simulation study to compare risk-based approaches

D. van Klaveren, E. Steyerberg, P. Rijnbeek, 2023, BMC Medical Research Methodology.

Management of covert brain infarction survey: A call to care for and trial this neglected population

J. Wardlaw, T. Meinel, J. Kaesmacher, 2023, European stroke journal.

Reevaluating the Role of Race and Ethnicity in Diabetes Screening

Sharad Goel, S. Saghafian, D. Kent, 2023, 2306.10220.

Treatment effect modification due to comorbidity: Individual participant data meta-analyses of 120 randomised controlled trials

S. Wild, B. Guthrie, N. Welton, 2023, PLoS medicine.

Large-scale validation of the Prediction model Risk Of Bias ASsessment Tool (PROBAST) using a short form: high risk of bias models show poorer discrimination

Jinny G. Park, B. Wessler, J. Nelson, 2021, medRxiv.

Systematic meta-review of prediction studies demonstrates stable trends in bias and low PROBAST inter-rater agreement.

E. Venema, E. Steyerberg, F. Dekker, 2023, Journal of clinical epidemiology.

Assessing heterogeneity of treatment effect in multiple sclerosis trials

M. Sormani, R. Marrie, J. Chataway, 2023, Multiple sclerosis.

Performance metrics for models designed to predict treatment effect

Hester F. Lingsma, D. van Klaveren, C. Maas, 2023, BMC Medical Research Methodology.