Thomas W. O'Gorman

Associate Professor

 Division of Statistics

Northern Illinois University

Updated February 2, 2012

 

EDUCATION

 

1988 - Ph.D.University of Iowa (Biostatistics: Department of Preventive Medicine and Environmental Health)

 

1980 - M.S.Southern Illinois University at Edwardsville (Department of Mathematics, Statistics, and Computer Science)

 

1968 - B.S. St. Louis University (Mathematics)

 

BOOKS

O’Gorman, T. W.: Adaptive Tests of Significance Using Permutations of Residuals with R and SAS, John Wiley & Sons, New York, 2012.

O’Gorman, T. W.: Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intervals, Society for Industrial and Applied Mathematics, Philadelphia, 2004.

 

RECENT STATISTICAL ARTICLES

O’Gorman, T. W.: An Adaptive Test for the Analysis of Repeated Measurements Having Missing Data. Statistics in Biopharmaceutical Research, 2, 109-121, 2010.

O’Gorman, T. W.: A Comparison of Several Adaptive Tests for Paired Data, Journal of Statistical Computation and Simulation, 79, 1083-1093, 2009.

O’Gorman, T. W.: An Adaptive Method of Variable Selection in Regression, Communications in Statistics-Simulation and Computation 37, 1129-1142, 2008.

O’Gorman, T. W.: Using Adaptive Tests for the Analysis of Repeated Measurements, Journal of Biopharmaceutical Statistics 18, 595-610, 2008.

O’Gorman, T. W.: An Adaptive Test of a Subset of Regression Coefficients Using Permutations of Residuals, Journal of Statistical Computation and Simulation, 76, 1095-1105, 2006.

O’Gorman, T. W.: An Adaptive Test for a Subset of Coefficients in a Multivariate Regression Model, Biometrical Journal, 48, 849-859, 2006.

O’Gorman, T. W.: The Performance of Randomization Tests that use Permutations of Independent Variables, Communication in Statistics--Simulation and Computation, 34, 895-908, 2005.

O’Gorman, T. W.: Using Adaptive Methods to Select Variables in Case-Control Studies. Biometrical Journal, 46, 595-605, 2004.

O’Gorman, T. W.: An adaptive test of significance for a subset of regression coefficients. Statistics in Medicine, 21, 3527-3542, 2002.

O’Gorman, T. W.: Using adaptive weighted least squares to reduce the lengths of confidence intervals. The Canadian Journal of Statistics, 29, 459-471, 2001.

O’Gorman, T. W.: A comparison of the F-test, Friedman’s test, and several aligned rank tests for the analysis of randomized complete blocks. Journal of Agricultural, Biological, and Environmental Statistics, 6, 367-378, 2001.

O’Gorman, T. W.: Adaptive estimation using weighted least squares. Australian & New Zealand Journal of Statistics, 43, 287-298, 2001.

O’Gorman, T. W.: An adaptive permutation test procedure for several common tests of significance.Computational Statistics and Data Analysis, 35, 335-350, 2001.

O'Gorman, T. W.: A comparison of an adaptive two-sample test to the t-test and the rank-sum test. Communications in Statistics--Simulation and Computation, vol. 26, pp.1393-1411, 1997

O'Gorman, T. W.:An adaptive test for the one-way layout. The Canadian Journal of Statistics, vol. 25, pp. 269-279, 1997.

O'Gorman, T. W.: An adaptive two-sample test based on modified Wilcoxon scores. Communicat ions in Statistics--Simulation and Computation, vol. 25, pp. 459-479, 1996.

O'Gorman, T. W. and Woolson, R. F.: Using Kendall's tb correlations to improve variable selection methods in case-control studies.Bi ometrics, vol. 51, pp. 1451-1460, 1995.

O'Gorman, T. W. : The effect of unequal variances on the power of several two-sample tests. C ommunications in Statistics--Simulation and Computation, vol. 24, pp. 853-867, 1995.

O'Gorman, T. W.: Using sign score regression models to select variables in case-control studies.Statistics in Medicine, vol. 14, pp. 431-443, 1995.

O'Gorman, T. W., Woolson, R. F., and Jones, M. P.: A comparison of two methods of estimating a common risk difference in a stratified analysis of a multicenter clinical trial.Controlled Clinical Trials, vol. 15, pp. 135-153, 1994.

O'Gorman, T. W. and Woolson, R. F.: The effect of category choice on the odds ratio and several measures of association in case-control studies. Communications in Statistics--Theory and Methods, vol. 22, pp. 1157-1171, 1993.

O'Gorman, T. W. and Woolson, R. F.: On the efficacy of the rank transformation in stepwise logistic and discriminant analysis. Statistics in Medicine, vol. 12, pp. 143-151, 1993.

Woolson, R. F. and O'Gorman, T. W. : A comparison of several tests for censored paired data. Statistics in Medicine, vol. 11, pp. 193-208, 1992.

O'Gorman, T. W. and Woolson, R.F.: Variable selection to discriminate between two groups: stepwise logistic regression or stepwise discriminant analysis?The American Statistician. vol. 45, pp. 187-193, 1991.

O'Gorman, T. W. and Woolson, R.F.: The stability of several measures of association in small contingency tables. Communications in Statistics: Theory and Methods. vol. 19, pp. 1141-1155, 1990.