Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Lotty Hooft

Showing results (151-160 of 211) with videos related to

Pageof 22
Sort By:
Journal of Clinical Epidemiology|March 19, 2023
Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
BMC Medical Research Methodology|April 9, 2022
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
BMJ Open|February 1, 2017
STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaborationJérémie F Cohen, Daniël A Korevaar, Douglas G Altman, et al.
Diagnostic and Prognostic Research|July 6, 2022
Risk of bias of prognostic models developed using machine learning: a systematic review in oncologyPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
International Journal of Geriatric Psychiatry|December 9, 2015
Acetaminophen for self-reported sleep problems in an elderly population (ASLEEP): a randomized double-blind placebo-controlled trialEsther M M van de Glind, Lotty Hooft, Linda R Tulner, et al.
Research Synthesis Methods|October 16, 2019
From registration to publication: A study on Dutch academic randomized controlled trialsJoost Huiskens, Boudewijn R J Kool, Jean-Michel Bakker, et al.
Nature Medicine|December 16, 2022
Reporting the early stage clinical evaluation of virtual-reality-based intervention trials: RATE-VRJohan H Vlake, Jasper van Bommel, Giuseppe Riva, et al.
Annals of Internal Medicine|February 3, 2025
Patients' Values and Preferences Regarding Pharmacologic Treatments for the Prevention of Episodic Migraine Headache: A Systematic Review for the American College of PhysiciansBada Yang, Robin W M Vernooij, Demy L Idema, et al.
BMJ Open|July 10, 2021
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligenceGary S Collins, Paula Dhiman, Constanza L Andaur Navarro, et al.
Journal of Clinical Epidemiology|November 27, 2022
Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction modelsConstanza L Andaur Navarro, Johanna A A Damen, Maarten van Smeden, et al.
Pageof 22

Showing results (151-160 of 211) with videos related to

Sort By:
Pageof 22
Journal of Clinical Epidemiology|March 19, 2023
Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
BMC Medical Research Methodology|April 9, 2022
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
BMJ Open|February 1, 2017
STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaborationJérémie F Cohen, Daniël A Korevaar, Douglas G Altman, et al.
Diagnostic and Prognostic Research|July 6, 2022
Risk of bias of prognostic models developed using machine learning: a systematic review in oncologyPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
International Journal of Geriatric Psychiatry|December 9, 2015
Acetaminophen for self-reported sleep problems in an elderly population (ASLEEP): a randomized double-blind placebo-controlled trialEsther M M van de Glind, Lotty Hooft, Linda R Tulner, et al.
Research Synthesis Methods|October 16, 2019
From registration to publication: A study on Dutch academic randomized controlled trialsJoost Huiskens, Boudewijn R J Kool, Jean-Michel Bakker, et al.
Nature Medicine|December 16, 2022
Reporting the early stage clinical evaluation of virtual-reality-based intervention trials: RATE-VRJohan H Vlake, Jasper van Bommel, Giuseppe Riva, et al.
Annals of Internal Medicine|February 3, 2025
Patients' Values and Preferences Regarding Pharmacologic Treatments for the Prevention of Episodic Migraine Headache: A Systematic Review for the American College of PhysiciansBada Yang, Robin W M Vernooij, Demy L Idema, et al.
BMJ Open|July 10, 2021
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligenceGary S Collins, Paula Dhiman, Constanza L Andaur Navarro, et al.
Journal of Clinical Epidemiology|November 27, 2022
Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction modelsConstanza L Andaur Navarro, Johanna A A Damen, Maarten van Smeden, et al.
Pageof 22