Modern survival analysis in clinical research : Cox regressions versus accelerated failure time models / Ton J. Cleophas, Aeilko H. Zwinderman.
Cleophas, Ton J. M., author.; Zwinderman, Aeilko H., author.
2023
R853.S7
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Title Modern survival analysis in clinical research : Cox regressions versus accelerated failure time models / Ton J. Cleophas, Aeilko H. Zwinderman.
Author Cleophas, Ton J. M., author.
ISBN 9783031316326 (electronic bk.)
3031316320 (electronic bk.)
9783031316319
3031316312
DOI https://doi.org/10.1007/978-3-031-31632-6
Published Cham : Springer, 2023.
Language English
Description 1 online resource (xiv, 224 pages) : illustrations
Other Standard Identifiers 10.1007/978-3-031-31632-6 doi
Call Number R853.S7
Dewey Decimal Classification 610.727
Summary An important novel menu for Survival Analysis entitled Accelerated Failure Time (AFT) models has been published by IBM (international Businesss Machines) in its SPSS statistical software update of 2023. Unlike the traditional Cox regressions that work with hazards, which are the ratio of deaths and non-deaths in a sample, it works with risk of death, which is the proportion of deaths in the same sample. The latter approach may provide better sensitivity of testing, but has been seldom applied, because with computers risks are tricky and hazards because they are odds are fine. This was underscored in 1997 by Keiding and colleague statisticians from Copenhagen University who showed better-sensitive goodness of fit and null-hypothesis tests with AFT than with Cox survival tests. So far, a controlled study of a representative sample of clinical Kaplan Meier assessments, where the sensitivity of Cox regression is systematically tested against that of AFT modeling, has not been accomplished. This edition is the first textbook and tutorial of AFT modeling both for medical and healthcare students and for professionals. Each chapter can be studied as a standalone, and, using, real as well as hypothesized data, it tests the performance of the novel methodology against traditional Cox regressions. Step by step analyses of over 20 data files stored at Supplementary Files at Springer Interlink are included for self-assessment. We should add that the authors are well qualified in their field. Professor Zwinderman is past-president of the International Society of Biostatistics (2012-2015) and Professor Cleophas is past-president of the American College of Angiology (2000-2002). From their expertise they should be able to make adequate selections of modern data analysis methods for the benefit of physicians, students, and investigators. The authors have been working and publishing together for 25 years and their research can be characterized as a continued effort to demonstrate that clinical data analysis is not mathematics but rather a discipline at the interface of biology and mathematics.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 12, 2023).
Added Author Zwinderman, Aeilko H., author.
Available in Other Form Print version: 9783031316319
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Preface
Chapter 1: Regression Analysis
Chapter 2: Cox Regressions
Chapter 3: Accelerated Failure Time Models
Chapter 4: Simple Dataset with Event as Outcome and Treatment as Predictor
Chapter 5: Simple Dataset with Death as Outcome and Treatment Modality, Cholesterol, and Age as Predictors
Chapter 6: Glioma Brain Cancer
Chapter 7: Linoleic Acid for Colonic Carcinoma
Chapter 8: The Effect on Survival of Maintained Chemotherapy with Acute Myelogenous Leucemia
Chapter 9: Eighty Four Month Parallel Group Mortality Study
Chapter 10: The Effect on Survival from Stages 1 and 2 Histiocytic Lymphoma
Chapter 11: Survival of 64 Lymphoma Patients with or without B Symptoms
Chapter 12: Effect on Time-to-Event of Group Membership
Chapter 13: The Effect on Survival of Group Membership
Chapter 14: Deaths from Carcinoma after Exposure to Carcinogens in Rats
Chapter 15: Effect of Group Membership on Survival
Chapter 16: Multiple Variables Regression Study of 2421 Stroke Patients Assessed for Time to Second Stroke
Chapter 17: Hypothesized 55 Patient Study of Effect of Treatment Modality on Survival
Chapter 18: One Year Follow-up Study with Many Censored Patients
Chapter 19: Alcohol Relapse after Detox Program Treated with or without Personal Coach
Chapter 20: Alcohol Relapse after Detox Program with 3 Predictors
Chapter 21: Ayurvedic Therapy for Human Immunodeficiency Virus
Chapter 22: Time to Event other Than Cox
Chapter 23: Abstracts of the Chapters 1 to 22.

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