11124nam 2200541 450 991072838630332120230704004425.03-031-31632-0(MiAaPQ)EBC7254256(Au-PeEL)EBL7254256(OCoLC)1381096600(PPN)270620109(EXLCZ)992679440980004120230704d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierModern Survival Analysis in Clinical Research Cox Regressions Versus Accelerated Failure Time Models /Ton J. Cleophas and Aeilko H. ZwindermanFirst edition.Cham, Switzerland :Springer Nature Switzerland AG,[2023]©20231 online resource (230 pages)Print version: Cleophas, Ton J. Modern Survival Analysis in Clinical Research Cham : Springer,c2023 9783031316319 Includes bibliographical references.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.Failure time data analysisRegression analysisSurvival analysis (Biometry)Failure time data analysis.Regression analysis.Survival analysis (Biometry)519.5Cleophas Ton J.472359Zwinderman Aeilko H.MiAaPQMiAaPQMiAaPQBOOK9910728386303321Modern Survival Analysis in Clinical Research3397140UNINA