Survival Analysis
Shenyang Guo
Abstract
Survival analysis is a class of statistical methods for studying the occurrence and timing of events. Statistical analysis of longitudinal data, particularly censored data, lies at the heart of social work research, and many of social work research's empirical problems, such as child welfare, welfare policy, evaluation of welfare-to-work programs, and mental health, can be formulated as investigations of timing of event occurrence. Social work researchers also often need to analyze multilevel or grouped data (for example, event times formed by sibling groups or mother-child dyads or recurrence ... More
Survival analysis is a class of statistical methods for studying the occurrence and timing of events. Statistical analysis of longitudinal data, particularly censored data, lies at the heart of social work research, and many of social work research's empirical problems, such as child welfare, welfare policy, evaluation of welfare-to-work programs, and mental health, can be formulated as investigations of timing of event occurrence. Social work researchers also often need to analyze multilevel or grouped data (for example, event times formed by sibling groups or mother-child dyads or recurrences of events such as re-entries into foster care), but these and other more robust methods can be challenging to social work researchers without a background in higher math. With clearly written summaries and plentiful examples, all written with social work issues and social work researchers in mind, this pocket guide will put this important statistical tool in the hands of many more social work researchers than have been able to use it before, to the field's benefit.
Keywords:
mother-child dyads,
longitudinal data,
censored data,
child welfare,
welfare policy,
welfare-to-work programs,
mental health,
foster care
Bibliographic Information
| Print publication date: 2009 |
Print ISBN-13: 9780195337518 |
| Published to Oxford Scholarship Online: January 2010 |
DOI:10.1093/acprof:oso/9780195337518.001.0001 |
