Time-To-Event Analysis, Or Who Gets Better Sooner? an Emerging Concept in Headache Study Methodology
- 1 July 1999
- journal article
- research article
- Published by SAGE Publications in Cephalalgia
- Vol. 19 (6) , 552-556
- https://doi.org/10.1046/j.1468-2982.1999.019006552.x
Abstract
Survival analysis, or, more generally, time-to-event analysis, is of interest when the data represent the time to a defined event. While well established in oncology, it has not been widely applied to migraine research, possibly because the data are usually collected intermittently, rather than continuously, and because of the awkwardness of interpreting treatment effect in survival terms. However, it represents an interesting approach for the analysis of time-to-headache relief, which addresses the clinically relevant question of who gets better sooner. The analysis uses data from all time-points to define the likelihood of headache relief following treatment throughout the entire assessment period. These data can then be used to quantify and test the difference between two therapies.Keywords
This publication has 10 references indexed in Scilit:
- Clinical efficacy and tolerability of 2.5 mg zolmitriptan for the acute treatment of migraineNeurology, 1997
- Interval-censored survival dataPublished by Springer Nature ,1994
- Guidelines for Controlled Trials of Drugs in Migraine. First EditionCephalalgia, 1991
- A Randomized, Double-Blind Comparison of Sumatriptan and Cafergot in the Acute Treatment of MigraineEuropean Neurology, 1991
- Sumatriptan An Oral Dose-Defining StudyEuropean Neurology, 1991
- Methodology of Clinical Trials of Sumatriptan in Migraine and Cluster HeadacheEuropean Neurology, 1991
- The analysis of relapse clinical trials, with application to a comparison of two ulcer treatmentsStatistics in Medicine, 1989
- Regression Analysis of Grouped Survival Data with Application to Breast Cancer DataPublished by JSTOR ,1978
- Design and analysis of randomized clinical trials requiring prolonged observation of each patient. II. Analysis and examplesBritish Journal of Cancer, 1977