Event Date Details:
refreshments served at 3:15 p.m
- South Hall 5607F
- Department Seminar Series
Title: On Fixed-Width Confidence Limits for the Risk Ratio
Abstract: We propose a sequential method for obtaining approximate confidence limits and optimal sample sizes for the risk ratio (RR) of two independent sequences of binomial variates. The procedure is developed based on a bias-corrected maximum likelihood estimator (MLE). We investigate properties of the estimator; unbiasedness, efficiency in variance and normality. First-order asymptotic expansions are obtained to investigate large-sample properties of the proposed procedure. Monte Carlo experiment is carried out for various scenarios of samples for examining the finite sample behavior. Two-stage procedure would be discussed if time permits.