Survival Analysis (Pocket Guides to Social Work Research Methods) (Pocket Guide to Social Work Research Methods)

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 reentries 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.

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 Reentries 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.

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reviewer:diane M Tomasic, Edd, Rn(slippery Rock University )
description:survival Analysis Is A Collection Of Statistical Methods To Do With Whether And When An Event Of Interest Takes Place. This Book, Part Of The Pocket Guides To Social Work Research Methods, Describes The Process Of Survival Analysis Research.
purpose:the Purpose Is To Make The Statistical Principles And Application Strategies More Accessible To General Researchers And To Illustrate The Application Of Survival Analysis To Social Work Research. This Area Of Analysis Is Not Included In Many Research Books. The Author Has Met These Objectives.
audience:individuals Conducting Social Work Research Are The Target Audience For This Book. It May Also Be Of Interest To Sociologists And Engineering Researchers Who Conduct Similar Research. The Author Has Based This Book On A Five-year Research Study Using Survival Analysis Methodology And Six Years Of Teaching Longitudinal Methods.
features:an Introduction To Survival Analysis Research Begins The Book, Which Provides Examples Of Why And When Survival Analysis Should Be Used. The Second Chapter Discusses The Key Concepts Related To Survival Analysis Research And Includes Two Descriptive Methods And Graphic Approaches. Chapters 3 To 6 Deal With The Types Of Models Available To This Type Of Analysis. Chapter 7 Covers The Statistical Packages Available For Survival Analysis. The Book Concludes With A Final Chapter On Some Pitfalls Of The Research And Directions For Future Research.
assessment:this Should Be Quite Useful To Researchers Using Longitudinal Data To Study The Timing Of Events. This Type Of Analysis Is At The Heart Of Social Work Research. If Detailed Methodology Information Is Needed, Readers Are Referred To A Research/statistical Methods Book.

Contents......Page 8 1. Introduction......Page 12 2. Key Concepts and Descriptive Approaches......Page 35 3. The Discrete-Time Models......Page 65 4. The Cox Proportional Hazards Model......Page 82 5. The Parametric Models......Page 107 6. Multilevel Analysis of Time-to-Event Data......Page 125 7. Computing Software Packages for Survival Analysis......Page 138 8. Concluding Remarks......Page 142 B......Page 148 D......Page 149 K......Page 150 M......Page 151 O......Page 152 P......Page 153 U......Page 154 Notes......Page 156 References......Page 158 C......Page 164 D......Page 165 G......Page 166 L......Page 167 N......Page 168 P......Page 169 S......Page 170 V......Page 171 W......Page 172 Contents 8 1. Introduction 12 2. Key Concepts and Descriptive Approaches 35 3. The Discrete-Time Models 65 4. The Cox Proportional Hazards Model 82 5. The Parametric Models 107 6. Multilevel Analysis of Time-to-Event Data 125 7. Computing Software Packages for Survival Analysis 138 8. Concluding Remarks 142 Glossary 148 A 148 B 148 C 149 D 149 E 150 F 150 G 150 H 150 I 150 K 150 L 151 M 151 N 152 O 152 P 153 R 154 S 154 T 154 U 154 Notes 156 References 158 Index 164 A 164 B 164 C 164 D 165 E 166 F 166 G 166 H 167 I 167 J 167 K 167 L 167 M 168 N 168 O 169 P 169 Q 170 R 170 S 170 T 171 U 171 V 171 W 172 Introduction Key concepts and descriptive approaches The discrete-time models The Cox proportional hazards model The parametric models Multilevel analysis of the time-to-event data Computing software packages for survival analysis Concluding remarks.