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

Faye Cleary

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Statistics in Medicine|March 14, 2015
Bayesian sample sizes for exploratory clinical trials comparing multiple experimental treatments with a controlJohn Whitehead, Faye Cleary, Amanda Turner
Plos One|July 29, 2022
A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare recordsFaye Cleary, David Prieto-Merino, Dorothea Nitsch
Clinical Kidney Journal|June 4, 2021
Feasibility of evaluation of the natural history of kidney disease in the general population using electronic healthcare recordsFaye Cleary, David Prieto-Merino, Sally Hull, et al.
BMJ Medicine|February 9, 2026
Developing a new albuminuria-free risk prediction equation for kidney failure in patients with chronic kidney disease: retrospective cohort studyFaye Cleary, David Prieto Merino, Rupert Major, et al.
Nephrology, Dialysis, Transplantation : Official Publication of the European Dialysis and Transplant Association - European Renal Association|October 19, 2017
How do primary care doctors in England and Wales code and manage people with chronic kidney disease? Results from the National Chronic Kidney Disease AuditLois G Kim, Faye Cleary, David C Wheeler, et al.
Nephrology, Dialysis, Transplantation : Official Publication of the European Dialysis and Transplant Association - European Renal Association|March 25, 2017
Accounting for overdispersion when determining primary care outliers for the identification of chronic kidney disease: learning from the National Chronic Kidney Disease AuditLois G Kim, Ben Caplin, Faye Cleary, et al.
BMJ Open|May 19, 2026
Validation of the kidney failure risk equation and its impact on referral strategies for chronic kidney disease: protocol for a retrospective cohort study using national claims and laboratory data in ThailandJeerath Phannajit, Chirod Narkpaichit, Chaisiri Angkurawaranon, et al.
BMJ Open|October 11, 2022
Association between practice coding of chronic kidney disease (CKD) in primary care and subsequent hospitalisations and death: a cohort analysis using national audit dataFaye Cleary, Lois Kim, David Prieto-Merino, et al.
Kidney International|October 24, 2022
Defining measures of kidney function in observational studies using routine health care data: methodological and reporting considerationsJuan Jesus Carrero, Edouard L Fu, Søren V Vestergaard, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Statistics in Medicine|March 14, 2015
Bayesian sample sizes for exploratory clinical trials comparing multiple experimental treatments with a controlJohn Whitehead, Faye Cleary, Amanda Turner
Plos One|July 29, 2022
A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare recordsFaye Cleary, David Prieto-Merino, Dorothea Nitsch
Clinical Kidney Journal|June 4, 2021
Feasibility of evaluation of the natural history of kidney disease in the general population using electronic healthcare recordsFaye Cleary, David Prieto-Merino, Sally Hull, et al.
BMJ Medicine|February 9, 2026
Developing a new albuminuria-free risk prediction equation for kidney failure in patients with chronic kidney disease: retrospective cohort studyFaye Cleary, David Prieto Merino, Rupert Major, et al.
Nephrology, Dialysis, Transplantation : Official Publication of the European Dialysis and Transplant Association - European Renal Association|October 19, 2017
How do primary care doctors in England and Wales code and manage people with chronic kidney disease? Results from the National Chronic Kidney Disease AuditLois G Kim, Faye Cleary, David C Wheeler, et al.
Nephrology, Dialysis, Transplantation : Official Publication of the European Dialysis and Transplant Association - European Renal Association|March 25, 2017
Accounting for overdispersion when determining primary care outliers for the identification of chronic kidney disease: learning from the National Chronic Kidney Disease AuditLois G Kim, Ben Caplin, Faye Cleary, et al.
BMJ Open|May 19, 2026
Validation of the kidney failure risk equation and its impact on referral strategies for chronic kidney disease: protocol for a retrospective cohort study using national claims and laboratory data in ThailandJeerath Phannajit, Chirod Narkpaichit, Chaisiri Angkurawaranon, et al.
BMJ Open|October 11, 2022
Association between practice coding of chronic kidney disease (CKD) in primary care and subsequent hospitalisations and death: a cohort analysis using national audit dataFaye Cleary, Lois Kim, David Prieto-Merino, et al.
Kidney International|October 24, 2022
Defining measures of kidney function in observational studies using routine health care data: methodological and reporting considerationsJuan Jesus Carrero, Edouard L Fu, Søren V Vestergaard, et al.
Pageof 1