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Lotty Hooft

Showing results (201-210 of 211) with videos related to

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Journal of Clinical Epidemiology|February 15, 2020
GRADE guidelines: 21 part 2. Test accuracy: inconsistency, imprecision, publication bias, and other domains for rating the certainty of evidence and presenting it in evidence profiles and summary of findings tablesHolger J Schünemann, Reem A Mustafa, Jan Brozek, et al.
BMJ Open|June 29, 2021
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocolViknesh Sounderajah, Hutan Ashrafian, Robert M Golub, et al.
Journal of Clinical Epidemiology|February 16, 2020
GRADE guidelines: 21 part 1. Study design, risk of bias, and indirectness in rating the certainty across a body of evidence for test accuracyHolger J Schünemann, Reem A Mustafa, Jan Brozek, et al.
BMJ (Clinical Research Ed.)|September 14, 2022
Diagnostic accuracy of covid-19 rapid antigen tests with unsupervised self-sampling in people with symptoms in the omicron period: cross sectional studyEwoud Schuit, Roderick P Venekamp, Lotty Hooft, et al.
Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases|November 15, 2022
Diagnostic accuracy of SARS-CoV-2 rapid antigen self-tests in asymptomatic individuals in the omicron period: a cross-sectional studyRoderick P Venekamp, Ewoud Schuit, Lotty Hooft, et al.
BMJ (Clinical Research Ed.)|March 24, 2025
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methodsKarel G M Moons, Johanna A A Damen, Tabea Kaul, et al.
The Cochrane Database of Systematic Reviews|May 16, 2022
Thoracic imaging tests for the diagnosis of COVID-19Sanam Ebrahimzadeh, Nayaar Islam, Haben Dawit, et al.
BMJ Open|January 27, 2026
Agreement testing of AMSTAR-PF, a tool for quality appraisal of systematic reviews of prognostic factor studiesMichael L Henry, Neil E O'Connell, Richard D Riley, et al.
Allergy|August 1, 2012
Towards global consensus on outcome measures for atopic eczema research: results of the HOME II meetingJochen Schmitt, Phyllis Spuls, Maarten Boers, et al.
BMJ (Clinical Research Ed.)|April 9, 2020
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisalLaure Wynants, Ben Van Calster, Gary S Collins, et al.
Pageof 22

Showing results (201-210 of 211) with videos related to

Sort By:
Pageof 22
Journal of Clinical Epidemiology|February 15, 2020
GRADE guidelines: 21 part 2. Test accuracy: inconsistency, imprecision, publication bias, and other domains for rating the certainty of evidence and presenting it in evidence profiles and summary of findings tablesHolger J Schünemann, Reem A Mustafa, Jan Brozek, et al.
BMJ Open|June 29, 2021
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocolViknesh Sounderajah, Hutan Ashrafian, Robert M Golub, et al.
Journal of Clinical Epidemiology|February 16, 2020
GRADE guidelines: 21 part 1. Study design, risk of bias, and indirectness in rating the certainty across a body of evidence for test accuracyHolger J Schünemann, Reem A Mustafa, Jan Brozek, et al.
BMJ (Clinical Research Ed.)|September 14, 2022
Diagnostic accuracy of covid-19 rapid antigen tests with unsupervised self-sampling in people with symptoms in the omicron period: cross sectional studyEwoud Schuit, Roderick P Venekamp, Lotty Hooft, et al.
Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases|November 15, 2022
Diagnostic accuracy of SARS-CoV-2 rapid antigen self-tests in asymptomatic individuals in the omicron period: a cross-sectional studyRoderick P Venekamp, Ewoud Schuit, Lotty Hooft, et al.
BMJ (Clinical Research Ed.)|March 24, 2025
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methodsKarel G M Moons, Johanna A A Damen, Tabea Kaul, et al.
The Cochrane Database of Systematic Reviews|May 16, 2022
Thoracic imaging tests for the diagnosis of COVID-19Sanam Ebrahimzadeh, Nayaar Islam, Haben Dawit, et al.
BMJ Open|January 27, 2026
Agreement testing of AMSTAR-PF, a tool for quality appraisal of systematic reviews of prognostic factor studiesMichael L Henry, Neil E O'Connell, Richard D Riley, et al.
Allergy|August 1, 2012
Towards global consensus on outcome measures for atopic eczema research: results of the HOME II meetingJochen Schmitt, Phyllis Spuls, Maarten Boers, et al.
BMJ (Clinical Research Ed.)|April 9, 2020
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisalLaure Wynants, Ben Van Calster, Gary S Collins, et al.
Pageof 22