Development of a nomogram for individualizing hip fracture risk in men and women

[1]  M. Kattan,et al.  A postoperative prognostic nomogram for renal cell carcinoma. , 2001, The Journal of urology.

[2]  J. Eisman,et al.  Interpretation of bone mineral density measurement and its change. , 2000, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.

[3]  A. Raftery Bayesian Model Selection in Social Research , 1995 .

[4]  M. Kattan Nomograms. Introduction. , 2002, Seminars in urologic oncology.

[5]  S. Boonen,et al.  Colles fracture, spine fracture, and subsequent risk of hip fracture in men and women. A meta-analysis. , 2003, The Journal of bone and joint surgery. American volume.

[6]  J. Kelsey,et al.  Risk factors for hip fracture in men. Hip Fracture Study Group. , 1997, American journal of epidemiology.

[7]  J. Kelsey,et al.  Risk Factors for Hip Fracture in Men , 1997 .

[8]  O Johnell,et al.  Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. , 1996, BMJ.

[9]  J. Eisman,et al.  Femoral Neck Bone Loss Predicts Fracture Risk Independent of Baseline BMD , 2005, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[10]  J. Eisman,et al.  Mortality after all major types of osteoporotic fracture in men and women: an observational study , 1999, The Lancet.

[11]  J A Swets,et al.  Measuring the accuracy of diagnostic systems. , 1988, Science.

[12]  O Johnell,et al.  A meta-analysis of previous fracture and subsequent fracture risk. , 2004, Bone.

[13]  Pamela J Schreiner,et al.  Long‐Term Prediction of Incident Hip Fracture Risk in Elderly White Women: Study of Osteoporotic Fractures , 2004, Journal of the American Geriatrics Society.

[14]  M. Kattan Nomograms are superior to staging and risk grouping systems for identifying high-risk patients: preoperative application in prostate cancer , 2003, Current opinion in urology.

[15]  Daniel B. Mark,et al.  TUTORIAL IN BIOSTATISTICS MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS , 1996 .

[16]  A. Meta-analysis Colles Fracture, Spine Fracture, and Subsequent Risk of Hip Fracture in Men and Women , 2003 .

[17]  A. Hofman,et al.  Added value of bone mineral density in hip fracture risk scores. , 1999, Bone.

[18]  J. Eisman,et al.  Symptomatic fracture incidence in elderly men and women: The Dubbo osteoporosis epidemiology study (DOES) , 1994, Osteoporosis International.

[19]  M. Kattan,et al.  Postoperative nomogram for 12-year sarcoma-specific death. , 2002, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[20]  Adrian E. Raftery,et al.  Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors , 1999 .

[21]  David R. Cox The analysis of binary data , 1970 .

[22]  S. Cummings,et al.  Risk factors for hip fracture in white women. Study of Osteoporotic Fractures Research Group. , 1995, The New England journal of medicine.

[23]  F. Harrell,et al.  Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors , 2005 .

[24]  J A Swets,et al.  Form of empirical ROCs in discrimination and diagnostic tasks: implications for theory and measurement of performance. , 1986, Psychological bulletin.

[25]  S. Lord,et al.  Prediction of osteoporotic fractures by postural instability and bone density. , 1993, BMJ.

[26]  L. Raisz Pathogenesis of osteoporosis: concepts, conflicts, and prospects. , 2005, The Journal of clinical investigation.

[27]  P. Ebeling,et al.  Preventing osteoporosis: outcomes of the Australian Fracture Prevention Summit , 2002, The Medical journal of Australia.

[28]  A. Silman,et al.  Predictive Value of BMD for Hip and Other Fractures , 2005, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[29]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[30]  S. Lord,et al.  Postural stability and associated physiological factors in a population of aged persons. , 1991, Journal of gerontology.

[31]  D. Madigan,et al.  Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke , 1997 .

[32]  D. Madigan,et al.  Bayesian Model Averaging for Linear Regression Models , 1997 .

[33]  F. Harrell,et al.  Development of a clinical prediction model for an ordinal outcome: the World Health Organization Multicentre Study of Clinical Signs and Etiological agents of Pneumonia, Sepsis and Meningitis in Young Infants. WHO/ARI Young Infant Multicentre Study Group. , 1998, Statistics in medicine.

[34]  Michael W. Kattan,et al.  A Nomogram That Predicts the Presence of Sentinel Node Metastasis in Melanoma With Better Discrimination Than the American Joint Committee on CancerStaging System , 2005, Annals of Surgical Oncology.

[35]  J. Eisman,et al.  Identification of High‐Risk Individuals for Hip Fracture: A 14‐Year Prospective Study , 2005, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[36]  J. Swets Indices of discrimination or diagnostic accuracy: their ROCs and implied models. , 1986, Psychological bulletin.

[37]  M. Kattan Prostate cancer nomograms and prognostic models: Introduction , 2002 .

[38]  D.,et al.  Regression Models and Life-Tables , 2022 .

[39]  A. Adams,et al.  Risk perception and communication: recent developments and implications for anaesthesia , 2001, Anaesthesia.

[40]  M W Kattan,et al.  Pretreatment nomogram for predicting the outcome of three-dimensional conformal radiotherapy in prostate cancer. , 2000, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.