The sequential analysis of repeated binary responses: a score test for the case of three time points.
In this paper a robust method is developed for the analysis of data consisting of repeated binary observations taken at up to three fixed time points on each subject. The primary objective is to compare outcomes at the last time point, using earlier observations to predict this for subjects with incomplete records. A score test is derived. The method is developed for application to sequential clinical trials, as at interim analyses there will be many incomplete records occurring in non-informative patterns. Motivation for the methodology comes from experience with clinical trials in stroke and head injury, and data from one such trial is used to illustrate the approach. Extensions to more than three time points and to allow for stratification are discussed.
Sooriyarachchi
Marina Roshini
MR
Department of Statistics and Computer Science, University of Colombo, Sri Lanka.
Whitehead
John
J
Whitehead
Anne
A
Bolland
Kim
K
D002986:Clinical Trials as Topic / Q000379:methods*; D006259:Craniocerebral Trauma / Q000188:drug therapy; D003627:Data Interpretation, Statistical; D018691:Excitatory Amino Acid Antagonists / Q000627:therapeutic use; D023261:Glasgow Outcome Scale; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D010880:Piperidines / Q000627:therapeutic use
D018691:Excitatory Amino Acid Antagonists; D010880:Piperidines; C058083:eliprodil