Our overall goal is to predict an individual woman's risk of developing clinically significant post-menopausal osteoporosis, using data from longitudinal studies. Three steps will be taken to develop the prediction formulas: 1) identifying early predictors of rate of bone loss, 2) using an individual's past bone mass to predict the future, and 3) using the predicted bone mass in estimating the risk of fractures. We will also compare the rates of bone loss at the appendicular and axial skeleton. In addition, we will develop and implement a quality control system for repeated bone measurements. To achieve the goals, statistical procedures will be developed to analyze repeated measurements made at irregular time points. The new methods will be applied to the data collected from ongoing and proposed longitudinal studies. Some of the new procedures will involve empirical Bayes regression. Other techniques we will use include survival analysis, and piecewise regression. The long-term objective is to identify individuals who are at high risk of developing symotomatic osteoporosis so that they can be treated prophylactically.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG004518-06
Application #
3115167
Study Section
Epidemiology and Disease Control Subcommittee 3 (EDC)
Project Start
1984-02-01
Project End
1992-01-31
Budget Start
1989-02-01
Budget End
1990-01-31
Support Year
6
Fiscal Year
1989
Total Cost
Indirect Cost
Name
Indiana University-Purdue University at Indianapolis
Department
Type
Schools of Medicine
DUNS #
005436803
City
Indianapolis
State
IN
Country
United States
Zip Code
46202
Ambrosius, Walter T; Hui, Siu L (2004) Cross calibration in longitudinal studies. Stat Med 23:2845-61
Hui, Siu L; Perkins, Anthony J; Zhou, Lifen et al. (2002) Bone loss at the femoral neck in premenopausal white women: effects of weight change and sex-hormone levels. J Clin Endocrinol Metab 87:1539-43
Gao, S; Hui, S L; Hall, K S et al. (2000) Estimating disease prevalence from two-phase surveys with non-response at the second phase. Stat Med 19:2101-14
Hui, S L; Gao, S (2000) Spacing of follow-up waves in incidence studies. Stat Med 19:1567-75
Ambrosius, W T; Hui, S L (2000) A quality control measure for longitudinal studies with continuous outcomes. Stat Med 19:1339-62
Gao, S; Hui, S L (2000) Estimating the incidence of dementia from two-phase sampling with non-ignorable missing data. Stat Med 19:1545-54
Hui, S L; Zhou, L; Evans, R et al. (1999) Rates of growth and loss of bone mineral in the spine and femoral neck in white females. Osteoporos Int 9:200-5
Hui, S L; Zhou, X H (1998) Evaluation of diagnostic tests without gold standards. Stat Methods Med Res 7:354-70
Hui, S L; Gao, S; Zhou, X H et al. (1997) Universal standardization of bone density measurements: a method with optimal properties for calibration among several instruments. J Bone Miner Res 12:1463-70
Gao, S; Hui, S L (1997) Logistic regression models with missing covariate values for complex survey data. Stat Med 16:2419-28

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