Modern Survival Analysis in Clinical Research : Cox Regressions Versus Accelerated Failure Time Models / / Ton J. Cleophas and Aeilko H. Zwinderman

• Record Nr.: UNINA9910728386303321
• Autore: Cleophas Ton J.
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]; ©2023
• ISBN: 3-031-31632-0
• Edizione: [First edition.]
• Descrizione fisica: 1 online resource (230 pages)
• Disciplina: 519.5
• Soggetti: Failure time data analysis; Regression analysis; Survival analysis (Biometry)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Intro -- Preface -- Contents -- Chapter 1: Regression Analysis -- 1.1 Introduction -- 1.2 History -- 1.3 Methodologies of Regression Analysis -- 1.3.1 Linear Regression -- 1.3.2 Logistic Regression -- 1.3.3 Cox Regression -- 1.4 Conclusion -- References -- Chapter 2: Cox Regressions -- 2.1 Introduction -- 2.2 History of Cox Regressions -- 2.3 Principles of Cox Regressions -- 2.4 Conclusion -- References -- Chapter 3: Accelerated Failure Time Models -- 3.1 Introduction -- 3.2 History of Failure Time Models -- 3.3 Methodology of Failure Time Models -- 3.4 Graphs of Successful Functions to Analyze Accelerated Failure Time Models -- 3.5 Conclusion -- References -- Chapter 4: Simple Dataset with Event as Outcome and Treatment as Predictor -- 4.1 Introduction -- 4.2 Data Example -- 4.3 Data Analysis in SPSS Statistical Software Version 29 -- 4.4 Cox Regression -- 4.5 Accelerated Failure Time with Weibull Distribution -- 4.6 Accelerated Failure Time Model with Exponential Distribution -- 4.7 Accelerated Failure Time Model with Log Normal Distribution -- 4.8 Accelerated Failure Time Model with Log Logistic Distribution -- 4.9 Conclusion -- References -- Chapter 5: Simple Dataset with Death as Outcome and Treatment Modality, Cholesterol, and Age as Predictors -- 5.1 Introduction -- 5.2 Data Example -- 5.3 Data Analysis in SPSS ; Statistical Software Version 29 -- 5.4 Three Predictors Cox Regression -- 5.5 Three Predictors Accelerated Failure Time (AFT) with Weibull Distribution -- 5.6 Three Predictors Accelerated Failure Time Model with Exponential Distribution -- 5.7 Three Predictors Accelerated Failure Time with Log Normal Distribution -- 5.8 Three Predictors Accelerated Failure Time with Log Logistic Distribution -- 5.9 Conclusion -- References -- Chapter 6: Glioma Brain Cancer -- 6.1 Introduction -- 6.2 Data Example.; 6.3 Data Analysis in SPSS Statistical Software Version 29 -- 6.4 Cox Regression -- 6.5 Accelerated Failure Time (AFT) Model with Weibull Distribution -- 6.6 The Accelerated Failure Time (AFT) with Exponential Distribution -- 6.7 Accelerated Failure Time (AFT) with Log Normal Distribution -- 6.8 Accelerated Failure Time with Log-logistic Distribution -- 6.9 Conclusion -- References -- Chapter 7: Linoleic Acid for Colonic Carcinoma -- 7.1 Introduction -- 7.2 Data Example -- 7.3 Data Analysis in SPSS Statistical Software Version 29 -- 7.4 Cox Regression -- 7.5 Accelerated Failure Time (AFT) with Weibull Distribution -- 7.6 Accelerated Failure Time (AFT) with Exponential Distribution -- 7.7 Accelerated Failure Time (AFT) with Log Normal Distribution -- 7.8 Accelerated Failure Time (AFT) with Log Logistic Distribution -- 7.9 Conclusion -- References -- Chapter 8: The Effect on Survival of Maintained Chemotherapy with Acute Myelogenous Leucemia -- 8.1 Introduction -- 8.2 Data Example -- 8.3 Data Analysis in SPSS Statistical Software Version 29 -- 8.4 Cox Regression -- 8.5 Accelerated Failure Time (AFT) with Weibull Distribution -- 8.6 Accelerated Failure Time (AFT) with Exponential Distribution -- 8.7 Accelerated Failure Time (AFT) with Log Normal Distribution -- 8.8 Accelerated Failure Time (AFT) with Log Logistic Distribution -- 8.9 Conclusion -- References -- Chapter 9: Eighty Four Month Parallel Group Mortality Study -- 9.1 Introduction -- 9.2 Data Example -- 9.3 Data Analysis in SPSS Statistical Software Version 29 -- 9.4 Cox Regression -- 9.5 Accelerated Failure Time (AFT) Model with the Weibull Distribution -- 9.6 Accelerated Failure Time (AFT) Model with the Exponential Distribution -- 9.7 Accelerated Failure Time (AFT) Model with the Log Normal Distribution -- 9.8 Accelerated Failure Time (AFT) Model with Log Logistic Distribution.; 9.9 Conclusion -- References -- Chapter 10: The Effect on Survival from Stages 1 and 2 Histiocytic Lymphoma -- 10.1 Introduction -- 10.2 Data Example -- 10.3 Data Analysis Using SPSS Statistical Software Version 29 -- 10.4 Cox Regression -- 10.5 Accelerated Failure Time (AFT) with Weibull Distribution -- 10.6 Accelerated Failure Time (AFT) with Exponential Distribution -- 10.7 Accelerated Failure Time (AFT) with Log Normal Distribution -- 10.8 Accelerated Failure Time (AFT) with Log Logistic Distribution -- 10.9 Conclusion -- References -- Chapter 11: Survival of 64 Lymphoma Patients with or Without B Symptoms -- 11.1 Introduction -- 11.2 Data Example -- 11.3 Data Analysis in SPSS Statistical Software Version 29 -- 11.4 Cox Regression -- 11.5 Accelerated Failure Time (AFT) Model with Weibull Distribution -- 11.6 Accelerated Failure Time (AFT) Model with Exponential Distribution -- 11.7 Accelerated Failure Time (AFT) Model with Log Normal Distribution -- 11.8 Accelerated Failure Time (AFT) Model with Log Logistic Distribution -- 11.9 Conclusion -- References -- Chapter 12: Effect on Time-to-Event of Group Membership -- 12.1 Introduction -- 12.2 Data Example -- 12.3 Data Analysis Using SPSS Statistical Software Version 29 -- 12.4 Cox Regression -- 12.5 Accelerated Failure Time (AFT) Model with Weibull Distribution -- 12.6 Accelerated Failure Time (AFT) with Exponential Distribution -- 12.7 Accelerated Failure Time (AFT) with Log Normal ; Distribution -- 12.8 Accelerated Failure Time (AFT) with Log Logistic Distribution -- 12.9 Conclusion -- References -- Chapter 13: The Effect on Survival of Group Membership -- 13.1 Introduction -- 13.2 Data Example -- 13.3 Data Analysis Using SPSS Statistical Software Version 29 -- 13.4 Cox Regression -- 13.5 Accelerated Failure Time (AFT) Models with Weibull Distribution.; 13.6 Accelerated Failure Time (AFT) Models with Exponential Distribution -- 13.7 Accelerated Failure Time (AFT) Model with Log Normal Distribution -- 13.8 Accelerated Failure Time (AFT) Model with Log Logistics Distribution -- 13.9 Conclusion -- References -- Chapter 14: Deaths from Carcinoma After Exposure to Carcinogens in Rats -- 14.1 Introduction -- 14.2 Data Example -- 14.3 Data Analysis Using SPSS Statistical Software Version 29 -- 14.4 Cox Regression -- 14.5 Accelerated Failure Time (AFT) Model with Weibull Distribution -- 14.6 Accelerated Failure Time (AFT) Model with Exponential Distribution -- 14.7 Accelerated Failure Time (AFT) Model with Log Normal Distribution -- 14.8 Accelerated Failure Time (AFT) Model with Log Logistics Distribution -- 14.9 Conclusion -- References -- Chapter 15: Effect of Group Membership on Survival -- 15.1 Introduction -- 15.2 Data Example -- 15.3 Data Analysis Using SPSS Statistical Software Version 29 -- 15.4 Cox Regression -- 15.5 Accelerated Failure Time (AFT) Models with Weibull Distribution -- 15.6 Accelerated Failure Time (AFT) Model with Exponential Distribution -- 15.7 Accelerated Failure Time (AFT) Model with Log Normal Distribution -- 15.8 Accelerated Failure Time (AFT) Model with Log Logistics Distribution -- 15.9 Conclusion -- References -- Chapter 16: Multiple Variables Regression Study of 2421 Stroke Patients Assessed for Time to Second Stroke -- 16.1 Introduction and Data Example -- 16.2 Data Analysis in SPSS Statistical Software Version 29 -- 16.3 Cox Regression -- 16.4 Accelerated Failure Time (AFT) with Weibull Distribution -- 16.5 Accelerated Failure Time (AFT) with Exponential Distribution -- 16.6 Accelerated Failure Time (AFT) with Log Normal Distribution -- 16.7 Accelerated Failure Time (AFT) with Log Logistic Distribution -- 16.8 Conclusion -- References.; Chapter 17: Hypothesized 55 Patient Study of Effect of Treatment Modality on Survival -- 17.1 Introduction -- 17.2 Data Example -- 17.3 Data Analysis Using SPSS Statistical Software Version 29 -- 17.4 Cox Regression -- 17.5 Accelerated Failure Time (AFT) with Weibull's Distribution -- 17.6 Accelerated Failure Time (AFT) with Exponential Distribution -- 17.7 Acccelerated Failure Time (AFT) with Log Normal Distribution -- 17.8 Accelerated Failure Time (AFT) with Log Logistic Distribution -- 17.9 Conclusion -- References -- Chapter 18: One Year Follow-Up Study with Many Censored Patients -- 18.1 Introduction -- 18.2 Data Example -- 18.3 Data Analysis Using SPSS Statistical Software Version 29 -- 18.4 Cox Regression -- 18.5 Accelerated Failure Time (AFT) with Weibull Distribution -- 18.6 Accelerated Failure Time (AFT) Model with Exponential Distribution -- 18.7 Accelerated Failure Time (AFT) Model with Log Normal Distribution -- 18.8 Accelerated Failure Time (AFT) Model with Log Logistics Distribution -- 18.9 Conclusion -- References -- Chapter 19: Alcohol Relapse After Detox Program Treated with or Without a Personal Coach -- 19.1 Introduction -- 19.2 Data Example -- 19.3 Data Analysis Using SPSS Statistical Software Version 29 -- 19.4 Cox Regression -- 19.5 Accelerated Failure Time (AFT) Models with Weibull Distribution -- 19.6 Accelerated Failure Times (AFT) Model with Exponential Distribution -- 19.7 Accelerated Failure Time (AFT) Model with Log Normal Distribution -- 19.8 Accelerated Failure Times (AFT) Model with Log Logistics Distribution -- 19.9 Conclusion -- References -- Chapter 20: Alcohol ; Relapse After Detox Program with 3 Predictors -- 20.1 Introduction -- 20.2 Data Example -- 20.3 Data Analysis Using SPSS Statistical Software Version 29 -- 20.4 Cox Regression -- 20.5 Accelerated Failure Time (AFT) Model with Weibull Distribution.; 20.6 Accelerated Failure Time Model with Exponential Distribution.