Survival analysis in clinical trials: Basics and must know areas

• Main Authors: Ritesh Singh, Keshab Mukhopadhyay
• Format: Article
• Language: English
• Published: Wolters Kluwer Medknow Publications 2011-01-01
• Series: Perspectives in Clinical Research
• Subjects: Cox proportional hazard model; hazard ratio; survival analysis
• Online Access: http://www.picronline.org/article.asp?issn=2229-3485;year=2011;volume=2;issue=4;spage=145;epage=148;aulast=Singh

Many clinical trials involve following patients for a long time. The primary event of interest in those studies is death, relapse, adverse drug reaction or development of a new disease. The follow-up time for the study may range from few weeks to many years. A different set of statistical procedures are employed to analyze the data, which involves time to event an analysis. It is a very useful tool in clinical research and provides invaluable information about an intervention. This article introduces the researcher to the different tools of survival analysis.