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Charting the process of change: A primer on survival analysis
Author(s) -
Luke Douglas A.
Publication year - 1993
Publication title -
american journal of community psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.113
H-Index - 112
eISSN - 1573-2770
pISSN - 0091-0562
DOI - 10.1007/bf00941622
Subject(s) - survival analysis , covariate , health psychology , hazard , attendance , qualitative analysis , counting process , process (computing) , function (biology) , psychology , data science , qualitative research , computer science , statistics , medicine , public health , sociology , social science , political science , mathematics , biology , ecology , nursing , law , operating system , evolutionary biology
Abstract Survival analysis is a powerful and useful technique for understanding qualitative change. This article provides a practical, nontechnical introduction to the use of survival analysis for social scientists. Important issues in using survival analysis are discussed, including research design, data preparation and management, and data analysis. Attendance data from a self‐helf organization are used to illustrate common survival analysis tasks such as describing the overall survival and hazard functions, examining covariate effects, and modeling the form of the hazard function over time. An appendix that discusses the strengths and weaknesses of current survival analysis computer programs is included.