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Kernel Ridge Regression in Clinical Research [[electronic resource] /] / by Ton J. Cleophas, Aeilko H. Zwinderman
| Kernel Ridge Regression in Clinical Research [[electronic resource] /] / by Ton J. Cleophas, Aeilko H. Zwinderman |
| Autore | Cleophas Ton J. |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (292 pages) |
| Disciplina | 780 |
| Soggetto topico |
Biometry
Clinical medicine - Research Statistics Data mining Big data Biostatistics Clinical Research Applied Statistics Data Mining and Knowledge Discovery Big Data Dades massives Aprenentatge automàtic Investigació mèdica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-10717-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Traditional Kernel Regression -- 2. Kernel Ridge Regression -- 3. Optimal Scaling vs Kernel Ridge Regression -- 4. Examples of Published Kernel Ridge Regression Research So Far -- 5. Some Terminology -- 6. Effect of Being Blind on Age/Sex Adjusted Mortality Rate, 11630 Patients, Traditional Regressions vs Kernel Ridge Regression -- 7. Effect of Old Treatment on New Treatment, 35 patients, Traditional Regression vs Kernel Ridge Regression -- 8. Effect of Gene Expressions on Drug Efficacy, 250 Patients, Traditional Regressions vs Kernel Ridge Regression -- 9. Effect of Gender, Treatment, and Their Interaction on Numbers of Paroxysmal Atrial Fibrillations, 40 Patients, Traditional Regressions vs Kernel Ridge Regression -- 10. Effect of Laboratory Predictors on Septic Mortality, 200 Patients, Traditional Regressions vs Kernel Ridge Regression -- 11. Effect of Times on C-reactive Protein Levels, 18 Months, Traditional Regressions vs Kernel Ridge Regression -- 12. Effect of Different Dosages of Prednisone and Beta-agonist on Peakflow, 78 Patients, Traditional Regressions vs Kernel Ridge Regression -- 13. Effect of Race, Age, and Gender on Physical Strength, 60 Patients, Traditional Regressions vs Kernel Ridge Regression -- 14. Effect of Treatment, Age, Gender, and Co-morbidity on Hours of Sleep, 20 Patients, Traditional Regressions vs Kernel Ridge Regression -- 15. Effect of Counseling Frequency and Non-compliance on Monthly Stools, 35 Constipated Patients, Traditional Regressions vs Kernel Ridge Regression -- 16. Effect of Treatment Modality, Counseling, and Satisfaction with Doctor on Quality of Life, 450 Patients, Traditional Regressions vs Kernel Ridge Regression -- 17. Effect of Department and Patient Age Class on Risk of Falling out of Bed, 55 Patients, Traditional Regressions vs Kernel Ridge Regression -- 18. Effect of Diet, Gender, Sport, and Medical Treatment on LDL Cholesterol Reduction, 953 Patients, Traditional Regressions vs Kernel Ridge Regression -- 19. Effect of Gender, Age, Weight, and Height on Measured Body Surface, 90 Patients, Traditional Regressions vs Kernel Ridge Regression -- 20. Effect of General Practitioners' Age, Education, and Type of Practice on Lifestyle Advise Given, 139 Physicians, Traditional Regressions vs Kernel Ridge Regression -- 21. Effect of Treatment, Psychological, and Social Scores on numbers of Paroxysmal Atrial Fibrillations, 50 Patients, Traditional Regressions vs Kernel Ridge Regression -- 22. Effects of Various Predictors on Numbers of Convulsions, 3390 Patients, Traditional vs Kernel Ridge Regression -- 23. Effects of Foods Served on Breakfast Taken, 252 Persons, Traditional Regressions and Multinomial Logistic Regression vs Kernel Ridge Regression -- 24. Effect on Anorexia of Personal Factors, 217 Persons, Traditional Regression vs Kernel Ridge Regression -- 25. Effect of Physical Exercise, Calorie Intake, and Their Interaction, on Weight Loss, 64 Patients, Traditional Regressions vs Kernel Ridge Regression -- 26. Summaries. |
| Record Nr. | UNINA-9910595027403321 |
Cleophas Ton J.
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modern Survival Analysis in Clinical Research : Cox Regressions Versus Accelerated Failure Time Models / / Ton J. Cleophas and Aeilko H. Zwinderman
| Modern Survival Analysis in Clinical Research : Cox Regressions Versus Accelerated Failure Time Models / / Ton J. Cleophas and Aeilko H. Zwinderman |
| Autore | Cleophas Ton J. |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (230 pages) |
| Disciplina | 519.5 |
| Soggetto topico |
Failure time data analysis
Regression analysis Survival analysis (Biometry) |
| ISBN | 3-031-31632-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910728386303321 |
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Cleophas Ton J.
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| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Quantile regression in clinical research : complete analysis for data at a loss of homogeneity / / Ton J. Cleophas, Aeilko H. Zwinderman
| Quantile regression in clinical research : complete analysis for data at a loss of homogeneity / / Ton J. Cleophas, Aeilko H. Zwinderman |
| Autore | Cleophas Ton J. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (283 pages) |
| Disciplina | 610.727 |
| Soggetto topico |
Clinical medicine - Research
Quantile regression Medicina clínica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-82840-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910520075303321 |
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Cleophas Ton J.
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Regression analysis in medical research : for starters and 2nd levelers / / Ton J. Cleophas, Aeilko H. Zwinderman
| Regression analysis in medical research : for starters and 2nd levelers / / Ton J. Cleophas, Aeilko H. Zwinderman |
| Autore | Cleophas Ton J. M. |
| Edizione | [2nd ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2018] |
| Descrizione fisica | 1 online resource (XV, 475 p. 482 illus., 72 illus. in color.) |
| Disciplina | 610.727 |
| Soggetto topico | Biometry |
| ISBN | 3-030-61394-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Continuous Outcome Regressions -- Dichotomous Outcome Regressions -- Confirmative Regressions -- Dichotomous Regressions Other than Logistic and Cox -- Polytomous Outcome Regressions -- Time to Event Regressions other than Traditional Cox -- Analysis of Variance (ANOVA) -- Repeated Outcomes Regression Methods -- Methodologies for Better Fit of Categorical Predictors -- Laplace Regressions, Multi- instead of Mono-Exponential Models -- Regressions For Making Extrapolations. -- Standardized Regression Coefficients -- Multivariate Analysis of Variance and Canonical Regression -- More on Poisson Regressions -- Regression Trend Testing -- Optimal Scaling and Automatic Linear Regression -- Spline Regressions -- More on Nonlinear Regressions -- Special Forms of Continuous Outcome Regressions -- Regressions for Quantitative Diagnostic Testing -- Regressions, a Panacee or at Least a Widespread Help for Data Analyses -- Regression Trees -- Regressions with Latent Variables -- Partial Correlations -- Functional Data Analysis Basis -- Functional Data Analysis Advanced -- Quantile Regression -- Index. . |
| Record Nr. | UNINA-9910484888203321 |
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Cleophas Ton J. M.
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||
| Cham, Switzerland : , : Springer, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Regression analysis in medical research : for starters and 2nd levelers / / Ton J. Cleophas, Aeilko H. Zwinderman
| Regression analysis in medical research : for starters and 2nd levelers / / Ton J. Cleophas, Aeilko H. Zwinderman |
| Autore | Cleophas Ton J. M. |
| Edizione | [2nd ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2018] |
| Descrizione fisica | 1 online resource (XV, 475 p. 482 illus., 72 illus. in color.) |
| Disciplina | 610.727 |
| Soggetto topico | Biometry |
| ISBN | 3-030-61394-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Continuous Outcome Regressions -- Dichotomous Outcome Regressions -- Confirmative Regressions -- Dichotomous Regressions Other than Logistic and Cox -- Polytomous Outcome Regressions -- Time to Event Regressions other than Traditional Cox -- Analysis of Variance (ANOVA) -- Repeated Outcomes Regression Methods -- Methodologies for Better Fit of Categorical Predictors -- Laplace Regressions, Multi- instead of Mono-Exponential Models -- Regressions For Making Extrapolations. -- Standardized Regression Coefficients -- Multivariate Analysis of Variance and Canonical Regression -- More on Poisson Regressions -- Regression Trend Testing -- Optimal Scaling and Automatic Linear Regression -- Spline Regressions -- More on Nonlinear Regressions -- Special Forms of Continuous Outcome Regressions -- Regressions for Quantitative Diagnostic Testing -- Regressions, a Panacee or at Least a Widespread Help for Data Analyses -- Regression Trees -- Regressions with Latent Variables -- Partial Correlations -- Functional Data Analysis Basis -- Functional Data Analysis Advanced -- Quantile Regression -- Index. . |
| Record Nr. | UNISA-996464414203316 |
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Cleophas Ton J. M.
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| Cham, Switzerland : , : Springer, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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