Related references
Note: Only part of the references are listed.A Novel Risk Calculator Predicts 90-Day Readmission Following Total Joint Arthroplasty
Daniel E. Goltz et al.
JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME (2019)
Visualising statistical models using dynamic nomograms
Amirhossein Jalali et al.
PLOS ONE (2019)
Non-lab and semi-lab algorithms for screening undiagnosed diabetes: A cross-sectional study
Wei Li et al.
EBIOMEDICINE (2018)
Understanding and Preventing Loss to Follow-up: Experiences From the Spinal Cord Injury Model Systems
Hwasoon Kim et al.
TOPICS IN SPINAL CORD INJURY REHABILITATION (2018)
Visualizing Risk Prediction Models
Vanya Van Belle et al.
PLOS ONE (2015)
A general-purpose nomogram generator for predictive logistic regression models
Alexander Zlotnik et al.
STATA JOURNAL (2015)
On the Interpretation of Odds Ratios
Fernando Rico-Villademoros
CLINICAL JOURNAL OF PAIN (2012)
Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models
Simon N. Wood
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2011)
A nomogram for P values
Leonhard Held
BMC MEDICAL RESEARCH METHODOLOGY (2010)
Prediction of indolent prostate cancer: Validation and updating of a prognostic nomogram
E. W. Steyerberg et al.
JOURNAL OF UROLOGY (2007)
Inappropriate interpretation of the odds ratio: Oddly not that uncommon
D Agrawal
PEDIATRICS (2005)
Nomograms are superior to staging and risk grouping systems for identifying high-risk patients: preoperative application in prostate cancer
MW Kattan
CURRENT OPINION IN UROLOGY (2003)