title: Maximally selected chi2 statistics for k x 2 tables.
abstract: It is common in epidemiologic analyses to summarize continuous outcomes as falling above or below a threshold. With such a dichotomized outcome, the usual chi2 statistics for association or trend can be used to test for equality of proportions across strata of the study population. However, if the threshold is chosen to maximize the test statistic, the nominal chi2 reference distributions are incorrect. In this paper, the asymptotic distributions of maximally selected chi2 statistics for association and for trend for the k x 2 table are derived. The methodology is illustrated with data from an AIDS clinical trial. The results of simulation experiments that assess the accuracy of the asymptotic distributions in moderate sample sizes are also reported.
authors.affiliation: Department of Statistics, Columbia University, New York, New York 10032, USA. betensky@sdac.harvard.edu
authors.forename: R A
authors.initials: RA
authors.lastname: Betensky
authors.forename: D
authors.initials: D
authors.lastname: Rabinowitz
mesh_terms: D019380:Anti-HIV Agents / Q000627:therapeutic use; D001699:Biometry; D018791:CD4 Lymphocyte Count; D016009:Chi-Square Distribution; D015658:HIV Infections / Q000188:drug therapy / Q000276:immunology; D006801:Humans; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data
chemical_list: D019380:Anti-HIV Agents