title: Analyzing Data from Experiments in which the Outcome is Time to an Event.
abstract: This is the third in a series of articles devoted to a simplified description of experimental design, statistical analysis, and interpretation. The present article deals with an overview of time to event methods, the importance of censored information, and the utilization of survival methods with three concrete examples. These methods can be used to design experiments with increased power to detect significant differences. Experiments planned with time to event methods usually have reduced sample size requirements.
authors.affiliation: a Section of Biostatistics , 1901 Perdido Street, Box P5-1, Stanley S. Scott Cancer Center , New Orleans , LA 70112 , USA.
authors.forename: R
authors.initials: R
authors.lastname: Mera
authors.affiliation: b Clinical Trials and Biometry Unit, LSU Eye Center , New Orleans , LA 70112 , USA.
authors.forename: H W
authors.initials: HW
authors.lastname: Thompson
authors.affiliation: c Section of Endocrinology, Department of Medicine, LSU Medical Center , New Orleans , LA 70112 , USA.
authors.forename: C
authors.initials: C
authors.lastname: Prasad
keywords: Data analysis; Kaplan-Meier; Sample size; Survival; Time to event