The principal aims of this project are to study a number of statistical problems in the analysis of epidemiologic data. The problems studied are relevant to the analysis of case-control data and ecologic epidemiologic data. Since odds ratios form the nucleus of many epidemiologic analyses, this research addresses issues in model building with odds ratios, or more generally log-linear modeling. This research will contrast selected statistical estimation and testing procedures using both computer and theoretical techniques and the methodology will be applied to select cancer case-control data sets. The focus will be on problems associated with log-linear modeling in the face of numerous predictor and stratification variables. Such situations inevitably lead to problems in the selection of variables for analysis. Furthermore, with numerous variables the resulting cross-tabulations lead to sparse, perhaps incomplete multidimensional tables. These problems will be studied in this research. For ecologic epidemiological data, the issue of standardization of incidence rates arises. In this research various methods of rate standardization or regression adjustment will be compared. Emphasis will be on the problems which typically arise in the analysis of epidemiologic data. This research will lead to improved statistical methodology for the analysis of complex epidemiologic data. The issues studied have immediate implications for the analysis of epidemiologic data.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA039065-01
Application #
3177796
Study Section
Epidemiology and Disease Control Subcommittee 3 (EDC)
Project Start
1985-09-01
Project End
1988-08-31
Budget Start
1985-09-01
Budget End
1986-08-31
Support Year
1
Fiscal Year
1985
Total Cost
Indirect Cost
Name
University of Iowa
Department
Type
Schools of Medicine
DUNS #
041294109
City
Iowa City
State
IA
Country
United States
Zip Code
52242
O'Gorman, T W; Woolson, R F; Jones, M P (1994) A comparison of two methods of estimating a common risk difference in a stratified analysis of a multicenter clinical trial. Control Clin Trials 15:135-53
O'Gorman, T W; Woolson, R F (1993) On the efficacy of the rank transformation in stepwise logistic and discriminant analysis. Stat Med 12:143-51
Woolson, R F; O'Gorman, T W (1992) A comparison of several tests for censored paired data. Stat Med 11:193-208
Davis, C S (1991) Statistical analysis of stratified 2x2 tables. Infect Control Hosp Epidemiol 12:173-8
Davis, C S (1991) A one degree of freedom nominal association model for testing independence in two-way contingency tables. Stat Med 10:1555-63
Joslyn, S; Lynch, C; Wallace, R et al. (1990) Relationship between diabetes mellitus mortality rates and drinking water magnesium levels in Iowa. Magnes Trace Elem 9:94-100
O'Gorman, T W; Woolson, R F; Jones, M P et al. (1990) Statistical analysis of K 2 x 2 tables: a comparative study of estimators/test statistics for association and homogeneity. Environ Health Perspect 87:103-7
Jones, M P; Crowley, J (1989) A general class of nonparametric tests for survival analysis. Biometrics 45:157-70
Jones, M P; O'Gorman, T W; Lemke, J H et al. (1989) A Monte Carlo investigation of homogeneity tests of the odds ratio under various sample size configurations. Biometrics 45:171-81
Lynch, C F; Woolson, R F; O'Gorman, T et al. (1989) Chlorinated drinking water and bladder cancer: effect of misclassification on risk estimates. Arch Environ Health 44:252-9

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