Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes-Reference-Cited by-同舟云学术

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Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes

Published:2018-10-24 Issue:7 Volume:38 Page:1276-1296
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Riley Richard D¹^ORCID,Snell Kym IE¹,Ensor Joie¹^ORCID,Burke Danielle L¹^ORCID,Harrell Jr Frank E²,Moons Karel GM³,Collins Gary S⁴^ORCID

Affiliation:

1. Centre for Prognosis Research, Research Institute for Primary Care and Health Sciences; Keele University; Staffordshire UK

2. Department of Biostatistics; Vanderbilt University School of Medicine; Nashville Tennessee

3. Julius Centre for Health Sciences and Primary Care; University Medical Centre Utrecht; Utrecht The Netherlands

4. Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences; University of Oxford; Oxford UK

Funder

National Institute for Health Research

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

National Center for Advancing Translational Sciences

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.7992/fullpdf

Reference60 articles.

1. Clinical Prediction Models

2. Prognosis and prognostic research: developing a prognostic model;Royston;Br Med J,2009

3. Prognosis research strategy (PROGRESS) 3: prognostic model research;Steyerberg;PLoS Med,2013

4. Derivation of a simple clinical model to categorize patients probability of pulmonary embolism: increasing the models utility with the SimpliRED D-dimer;Wells;Thromb Haemost,2000

5. Value of assessment of pretest probability of deep-vein thrombosis in clinical management;Wells;Lancet,1997

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