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Digitaalõiguste kaitse (DRM)
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Chapter 1: Regression Analysis
1.1 Introduction
1.2 History
1.3 Methodology of Regression Analysis
1.3.1 Linear Regression1.3.2 Logistic Regression
1.3.3 Cox Regression
1.4 Conclusion
1.5 References
Chapter 2: Cox Regressions
2.1 Introduction
2.2 History of Cox Regressions
2.3 Principles of Cox Regressions
2.4 Conclusion2.5 References
Chapter 3: Accelerated Failure Time Models
3.1 Introduction
3.2 History of Failure Time Models3.3 Methodologies of Failure Time Models
3.4 Graphs of Successfyk Functions to Analyze Accelerated Failure Time Models
3.5 Conclusion
3.6 References
Chapter 4: Simple Dataset with Event as Outcome and Treatment as Predictor
4.1 Introduction
4.2 Data Example
4.3 Data Analysis Using SPSS Statistical Software Version 29
4.4 Cox Regression
4.5 Accelerated Failure Time Model 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 Logistics Distribution4.9 Conclusion
4.10 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 Using SPSS Statistical Software Version 29
5.4 Three Predictors Cox Regression
5.5 Accelerated Failure Time Model with Weibull Distribution
5.6 Accelerated Failure Time Model with Exponential Distribution
5.7 Accelerated Failure Time Model with Log Normal Distribution
5.8 Accelerated Failure Time Model with Log Logistics Distribution
5.9 Conclusion
5.10 ReferencesChapter 6: Glioma Brain Cancer
6.1 Introduction
6.2 Data Example
6.3 Data Analysis Using SPSS Statistical Software Version 296.4 Cox Regression
6.5 Accelerated Failure Time Model with Weibull Distribution
6.6 Accelerated Failure Time Model with Exponential Distribution
6.7 Accelerated Failure Time Model with Log Normal Distribution
6.8 Accelerated Failure Time Model with Log Logistics Distribution
6.9 Conclusion
6.10 References
Chapter 7: Linoleic Acid for Colonic Carcinoma
7.1 Introduction
7.2 Data Example
7.3 Data Analysis Using SPSS Statistical Software Version 29
7.4 Cox Regression
7.5 Accelerated Failure Time Model with Weibull Distribution
7.6 Accelerated Failure Time Model with Exponential Distribution
7.7 Accelerated Failure Time Model with Log Normal Distribution
7.8 Accelerated Failure Time Model with Log Logistics Distribution
7.9 Conclusion
7.10 ReferencesChapter 8: The Effect on Survival of Maintained Chemotherapy with Acute Myelogenous Leucemia
8.1 Introduction
8.2 Data Example
8.3 Data Analysis Using SPSS Statistical Software Version 298.4 Cox Regression
8.5 Accelerated Failure Time Model with Weibull Distribution
8.6 Accelerated Failure Time Model with Exponential Distribution
8.7 Accelerated Failure Time Model with Log Normal Distribution
8.8 Accelerated Failure Time Model with Log Logistics Distribution
8.9 Conclusion
8.10 References
Chapter 9: Eighty Four Month Parallel Group Mortality Study
9.1 Introduction
9.2 Data Example
9.3 Data Analysis Using SPSS Statistical Software Version 29
9.4 Cox Regression
9.5 Accelerated Failure Time Model with Weibull Distribution
9.6 Accelerated Failure Time Model with Exponential Distribution
9.7 Accelerated Failure Time Model with Log Normal Distribution
9.8 Accelerated Failure Time Model with Log Logistics Distribution
9.9 Conclusion
9.10 ReferencesChapter 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 2910.4 Cox Regression
10.5 Accelerated Failure Time Model with Weibull Distribution
10.6 Accelerated Failure Time Model with Exponential Distribution
10.7 Accelerated Failure Time Model with Log Normal Distribution10.8 Accelerated Failure Time Model with Log Logistics Distribution
10.9 Conclusion
10.10 References
11.1 Introduction
11.2 Data Example
11.3 Data Analysis Using SPSS Statistical Software Version 29
11.4 Cox Regression
11.5 Accelerated Failure Time Model with Weibull Distribution
11.6 Accelerated Failure Time Model with Exponential Distribution
11.7 Accelerated Failure Time Model with Log Normal Distribution
11.8 Accelerated Failure Time Model with Log Logistics Distribution
11.9 Conclusion11.10 References
Chapter 12: Effect on Time-to-Event of Group Membership
12.1 Introduction
12.2 Data Example12.3 Data Analysis Using SPSS Statistical Software Version 29
12.4 Cox Regression
12.5 Accelerated Failure Time Model with Weibull Distribution
12.6 Accelerated Failure Time Model with Exponential Distribution
12.7 Accelerated Failure Time Model with Log Normal Distribution
12.8 Accelerated Failure Time Model with Log Logistics Distribution
12.9 Conclusion
12.10 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 Regression13.5 Accelerated Failure Time Model with Weibull Distribution
13.6 Accelerated Failure Time Model with Exponential Distribution
13.7 Accelerated Failure Time Model with Log Normal Distribution
13.8 Accelerated Failure Time Model with Log Logistics Distribution13.9 Conclusion
13.10 References
Chapter 14: Deaths from Carcinoma after Exposure to Carcinogens in Rats
14.1 Introduction14.2 Data Example
14.3 Data Analysis Using SPSS Statistical Software Version 29
14.4 Cox Regression
14.5 Accelerated Failure Time Model with Weibull Distribution
14.6 Accelerated Failure Time Model with Exponential Distribution
14.7 Accelerated Failure Time Model with Log Normal Distribution
14.8 Accelerated Failure Time Model with Log Logistics Distribution
14.9 Conclusion
14.10 ReferencesChapter 15: Effect of Group Membership on Survival
15.1 Introduction
15.2 Data Example
15.3 Data Analysis Using SPSS Statistical Software Version 2915.4 Cox Regression
15.5 Accelerated Failure Time Model with Weibull Distribution
15.6 Accelerated Failure Time Model with Exponential Distribution
15.7 Accelerated Failure Time Model with Log Normal Distribution15.8 Accelerated Failure Time Model with Log Logistics Distribution
15.9 Conclusion
15.10 References
16.1 Introduction and Sata Example
16.2 Data Analysis Using SPSS Statistical Software Version 29
16.3 Cox Regression
16.4 Accelerated Failure Time Model with Weibull Distribution16.5 Accelerated Failure Time Model with Exponential Distribution
16.6 Accelerated Failure Time Model with Log Normal Distribution
16.7 Accelerated Failure Time Model with Log Logistics Distribution
16.8 Conclusion16.9 References
Chapter 17: Hypothesized 55 Patient Study of Effect of Treatment Modality on Survival
17.1 Introduction
17.2 Data Example17.3 Data Analysis Using SPSS Statistical Software Version 29
17.4 Cox Regression
17.5 Accelerated Failure Time Model with Weibull Distribution
17.6 Accelerated Failure Time Model with Exponential Distribution
17.7 Accelerated Failure Time Model with Log Normal Distribution
17.8 Accelerated Failure Time Model with Log Logistics Distribution
17.9 Conclusion
17.10 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 Regression18.5 Accelerated Failure Time Model with Weibull Distribution
18.6 Accelerated Failure Time Model with Exponential Distribution
18.7 Accelerated Failure Time Model with Log Normal Distribution
18.8 Accelerated Failure Time Model with Log Logistics Distribution18.9 Conclusion
18.10 References
Chapter 19: Alcohol Relapse after Detox Program Treated with or without 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 Model with Weibull Distribution
19.6 Accelerated Failure Time Model with Exponential Distribution
19.7 Accelerated Failure Time Model with Log Normal Distribution
19.8 Accelerated Failure Time Model with Log Logistics Distribution
19.9. Conclusion
19.10 ReferencesChapter 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 2920.4 Cox Regression
20.5 Accelerated Failure Time Model with Weibull Distribution
20.6 Accelerated Failure Time Model with Exponential Distribution
20.7 Accelerated Failure Time Model with Log Normal Distribution20.8 Accelerated Failure Time Model with Log Logistics Distribution
20.9 Conclusion
20.10 References
21.1 Introduction
21.2 Data Example
21.3 Data Analysis Using SPSS Statistical Software Version 29
21.4 Cox Regression
21.5 Accelerated Failure Time Model with Weibull Distribution
21.6 Accelerated Failure Time Model with Exponential Distribution
21.7 Accelerated Failure Time Model with Log Normal Distribution
21.8 Accelerated Failure Time Model with Log Logistics Distribution
21.9 Conclusion21.10 References
Chapter 22: Time to Event other Than Cox
22.1 Introduction
22.2 Cox with Time Dependent Predictors
22.3 Segmented Cox22.4 Interval Censored Regressions
22.5 Autocorrelations
22.6 Polynomial Regressions
22.7 Conclusion
22.8 References
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