Choosing between predictors of fractures

Siu Hui, Charles W. Slemenda, Mark A. Carey, C. Conrad Johnston

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

The identification of those at highest risk of osteoporotic fractures is a clinical goal that requires appropriate statistical comparisons of potential predictors of fractures. This article provides a formal approach for comparing individual predictors (e.g., bone mass at one site vs bone mass at another), or sets of predictors (e.g., bone mass vs other risk factors), and contrasts newer methods, such as bootstrapping, to receiver-operating- characteristics (ROC) curves, which have been previously used. The advantages of the bootstrapping approach are illustrated using time-to-fracture data from a published study demonstrating the use of baseline bone mass measurements in the prediction of fractures in 521 subjects with variable lengths of follow-up, extending to 12.5 years. Bone mineral density (BMD) was shown to be significantly better than bone mineral content (BMC) in predicting fractures in free-living subjects, but not in retirement-community subjects. Bone mineral apparent density (BMAD) was also compared with BMC and BMD and shown not to improve fracture prediction in these subjects.

Original languageEnglish
Pages (from-to)1816-1822
Number of pages7
JournalJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Volume10
Issue number11
StatePublished - Nov 1995

Fingerprint

Bone Density
Bone and Bones
Osteoporotic Fractures
Retirement
ROC Curve

ASJC Scopus subject areas

  • Surgery

Cite this

Choosing between predictors of fractures. / Hui, Siu; Slemenda, Charles W.; Carey, Mark A.; Johnston, C. Conrad.

In: Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, Vol. 10, No. 11, 11.1995, p. 1816-1822.

Research output: Contribution to journalArticle

Hui, Siu ; Slemenda, Charles W. ; Carey, Mark A. ; Johnston, C. Conrad. / Choosing between predictors of fractures. In: Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1995 ; Vol. 10, No. 11. pp. 1816-1822.
@article{56301e2a19244fdebbcfbf9683652e34,
title = "Choosing between predictors of fractures",
abstract = "The identification of those at highest risk of osteoporotic fractures is a clinical goal that requires appropriate statistical comparisons of potential predictors of fractures. This article provides a formal approach for comparing individual predictors (e.g., bone mass at one site vs bone mass at another), or sets of predictors (e.g., bone mass vs other risk factors), and contrasts newer methods, such as bootstrapping, to receiver-operating- characteristics (ROC) curves, which have been previously used. The advantages of the bootstrapping approach are illustrated using time-to-fracture data from a published study demonstrating the use of baseline bone mass measurements in the prediction of fractures in 521 subjects with variable lengths of follow-up, extending to 12.5 years. Bone mineral density (BMD) was shown to be significantly better than bone mineral content (BMC) in predicting fractures in free-living subjects, but not in retirement-community subjects. Bone mineral apparent density (BMAD) was also compared with BMC and BMD and shown not to improve fracture prediction in these subjects.",
author = "Siu Hui and Slemenda, {Charles W.} and Carey, {Mark A.} and Johnston, {C. Conrad}",
year = "1995",
month = "11",
language = "English",
volume = "10",
pages = "1816--1822",
journal = "Journal of Bone and Mineral Research",
issn = "0884-0431",
publisher = "Wiley-Blackwell",
number = "11",

}

TY - JOUR

T1 - Choosing between predictors of fractures

AU - Hui, Siu

AU - Slemenda, Charles W.

AU - Carey, Mark A.

AU - Johnston, C. Conrad

PY - 1995/11

Y1 - 1995/11

N2 - The identification of those at highest risk of osteoporotic fractures is a clinical goal that requires appropriate statistical comparisons of potential predictors of fractures. This article provides a formal approach for comparing individual predictors (e.g., bone mass at one site vs bone mass at another), or sets of predictors (e.g., bone mass vs other risk factors), and contrasts newer methods, such as bootstrapping, to receiver-operating- characteristics (ROC) curves, which have been previously used. The advantages of the bootstrapping approach are illustrated using time-to-fracture data from a published study demonstrating the use of baseline bone mass measurements in the prediction of fractures in 521 subjects with variable lengths of follow-up, extending to 12.5 years. Bone mineral density (BMD) was shown to be significantly better than bone mineral content (BMC) in predicting fractures in free-living subjects, but not in retirement-community subjects. Bone mineral apparent density (BMAD) was also compared with BMC and BMD and shown not to improve fracture prediction in these subjects.

AB - The identification of those at highest risk of osteoporotic fractures is a clinical goal that requires appropriate statistical comparisons of potential predictors of fractures. This article provides a formal approach for comparing individual predictors (e.g., bone mass at one site vs bone mass at another), or sets of predictors (e.g., bone mass vs other risk factors), and contrasts newer methods, such as bootstrapping, to receiver-operating- characteristics (ROC) curves, which have been previously used. The advantages of the bootstrapping approach are illustrated using time-to-fracture data from a published study demonstrating the use of baseline bone mass measurements in the prediction of fractures in 521 subjects with variable lengths of follow-up, extending to 12.5 years. Bone mineral density (BMD) was shown to be significantly better than bone mineral content (BMC) in predicting fractures in free-living subjects, but not in retirement-community subjects. Bone mineral apparent density (BMAD) was also compared with BMC and BMD and shown not to improve fracture prediction in these subjects.

UR - http://www.scopus.com/inward/record.url?scp=0028889517&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0028889517&partnerID=8YFLogxK

M3 - Article

C2 - 8592960

AN - SCOPUS:0028889517

VL - 10

SP - 1816

EP - 1822

JO - Journal of Bone and Mineral Research

JF - Journal of Bone and Mineral Research

SN - 0884-0431

IS - 11

ER -