title: A covariate adjusted two-stage allocation design for binary responses in randomized clinical trials.
abstract: In the present work, we develop a two-stage allocation rule for binary response using the log-odds ratio within the Bayesian framework allowing the current allocation to depend on the covariate value of the current subject. We study, both numerically and theoretically, several exact and limiting properties of this design. The applicability of the proposed methodology is illustrated by using some data set. We compare this rule with some of the existing rules by computing various performance measures.
authors.affiliation: Department of Statistics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019, India.
authors.forename: Uttam
authors.initials: U
authors.lastname: Bandyopadhyay
authors.forename: Atanu
authors.initials: A
authors.lastname: Biswas
authors.forename: Rahul
authors.initials: R
authors.lastname: Bhattacharya
mesh_terms: D018687:Antidepressive Agents, Second-Generation / Q000627:therapeutic use; D001499:Bayes Theorem; D003866:Depressive Disorder / Q000188:drug therapy; D005473:Fluoxetine / Q000627:therapeutic use; D006801:Humans; D016014:Linear Models; D015233:Models, Statistical; D016017:Odds Ratio; D011379:Prognosis; D011897:Random Allocation; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*
chemical_list: D018687:Antidepressive Agents, Second-Generation; D005473:Fluoxetine