MS (Master of Science)
Date of Award
Committee Chair or Co-Chairs
Robert M. Price Jr.
Anant P. Godbole, Edith Seier, Robert B. Gardner
In this thesis, I am interested in estimating the difference between dependent proportions from a 2 × 2 contingency table when there are missing data. The Expectation-Maximization (EM) algorithm is used to obtain an estimate for the difference between correlated proportions. To obtain the standard error of this difference I employ a resampling technique known as bootstrapping. The performance of the bootstrap standard error is evaluated for different sample sizes and different fractions of missing information. Finally, a 100(1-α)% bootstrap confidence interval is proposed and its coverage is evaluated through simulation.
Thesis - Open Access
Talla Souop, Alain Duclaux, "Using the EM Algorithm to Estimate the Difference in Dependent Proportions in a 2 x 2 Table with Missing Data." (2004). Electronic Theses and Dissertations. Paper 919. http://dc.etsu.edu/etd/919
Copyright by the authors.