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

Richard D Riley

Showing results (1-10 of 292) with videos related to

Pageof 30
Sort By:
BMJ (Clinical Research Ed.)|December 18, 2023
Effect of a doctor working during the festive period on population health: natural experiment using 60 years of <i>Doctor Who</i> episodes (the TARDIS study)Richard D Riley
Statistics in Medicine|December 4, 2019
Correction to: Minimum sample size for developing a multivariable prediction model: Part II-binary and time-to-event outcomes by Riley RD, Snell KI, Ensor J, et alRichard D Riley
International Journal of Epidemiology|July 28, 2010
Commentary: like it and lump it? Meta-analysis using individual participant dataRichard D Riley
Statistics in Medicine|September 3, 2013
A refined method for multivariate meta-analysis and meta-regressionDaniel Jackson, Richard D Riley
Statistics in Medicine|October 8, 2016
Random effects meta-analysis: Coverage performance of 95% confidence and prediction intervals following REML estimationChristopher Partlett, Richard D Riley
Nature Clinical Practice. Oncology|November 3, 2005
Primer: an evidence-based approach to prognostic markersDouglas G Altman, Richard D Riley
Statistics in Medicine|June 17, 2017
Measuring the statistical validity of summary meta-analysis and meta-regression results for use in clinical practiceBrian H Willis, Richard D Riley
Journal of Physiotherapy|June 20, 2021
Research Note: Individual participant data (IPD) meta-analysisJill A Hayden, Richard D Riley
Research Synthesis Methods|June 10, 2015
Meta-analysis of a binary outcome using individual participant data and aggregate dataRichard D Riley, Ewout W Steyerberg
Biometrical Journal. Biometrische Zeitschrift|July 19, 2023
Stability of clinical prediction models developed using statistical or machine learning methodsRichard D Riley, Gary S Collins
Pageof 30

Showing results (1-10 of 292) with videos related to

Sort By:
Pageof 30
BMJ (Clinical Research Ed.)|December 18, 2023
Effect of a doctor working during the festive period on population health: natural experiment using 60 years of <i>Doctor Who</i> episodes (the TARDIS study)Richard D Riley
Statistics in Medicine|December 4, 2019
Correction to: Minimum sample size for developing a multivariable prediction model: Part II-binary and time-to-event outcomes by Riley RD, Snell KI, Ensor J, et alRichard D Riley
International Journal of Epidemiology|July 28, 2010
Commentary: like it and lump it? Meta-analysis using individual participant dataRichard D Riley
Statistics in Medicine|September 3, 2013
A refined method for multivariate meta-analysis and meta-regressionDaniel Jackson, Richard D Riley
Statistics in Medicine|October 8, 2016
Random effects meta-analysis: Coverage performance of 95% confidence and prediction intervals following REML estimationChristopher Partlett, Richard D Riley
Nature Clinical Practice. Oncology|November 3, 2005
Primer: an evidence-based approach to prognostic markersDouglas G Altman, Richard D Riley
Statistics in Medicine|June 17, 2017
Measuring the statistical validity of summary meta-analysis and meta-regression results for use in clinical practiceBrian H Willis, Richard D Riley
Journal of Physiotherapy|June 20, 2021
Research Note: Individual participant data (IPD) meta-analysisJill A Hayden, Richard D Riley
Research Synthesis Methods|June 10, 2015
Meta-analysis of a binary outcome using individual participant data and aggregate dataRichard D Riley, Ewout W Steyerberg
Biometrical Journal. Biometrische Zeitschrift|July 19, 2023
Stability of clinical prediction models developed using statistical or machine learning methodsRichard D Riley, Gary S Collins
Pageof 30