title: How to establish equivalence when data are censored: a randomized trial of treatments for B non-Hodgkin lymphoma.
abstract: Interest in equivalence trials has been increasing for many years, though the methodology which has been developed for such trials is mainly for uncensored data. In cancer research we are more often concerned with survival. In an efficacy trial, the null hypothesis specifies equality of the two survival distributions, but in an equivalence trial, a null hypothesis of inequivalence H0 has to be tested. The usual logrank test has to be modified to test whether the true value r of the ratio of hazard rates in two treatment groups is at least equal to a limit value r0. If prognostic factors have to be taken into account, the Cox model provides tests of Ho, and a useful confidence interval for the adjusted relative derived from the regression parameter for the treatment indicator. An equivalence trial of maintenance therapy was carried out in children with B non-Hodgkin lymphoma, and serves as an illustration.
authors.affiliation: Université Paris VI, Unité 351 de l'Institut National de la Santé et de la Recherche Médicale, Institut Gustave Roussy, Villejuif, France.
authors.forename: C
authors.initials: C
authors.lastname: Com-Nougue
authors.forename: C
authors.initials: C
authors.lastname: Rodary
authors.forename: C
authors.initials: C
authors.lastname: Patte
mesh_terms: D000206:Actuarial Analysis; D000971:Antineoplastic Combined Chemotherapy Protocols / Q000009:adverse effects / Q000627:therapeutic use*; D002648:Child; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D016001:Confidence Intervals; D005500:Follow-Up Studies; D006801:Humans; D016393:Lymphoma, B-Cell / Q000188:drug therapy* / Q000401:mortality; D016016:Proportional Hazards Models; D016019:Survival Analysis; D015996:Survival Rate