Linked e-resources
Details
Table of Contents
Intro; Preface; Contents; Part I: Demography and Related Applications: Health Status and the Lifespan Limit; Chapter 1: The Health Status of a Population Estimated: The History of Health State Curves; 1.1 The Main Parts of the Stochastic Theory Needed; 1.2 The Health State Defined, Modeled and Estimated; 1.3 Further Applications and Results; References; Chapter 2: Remarks on ``Limits to Human Lifespan;́́ 2.1 Introduction; 2.2 Data Transformation and Application in United States; 2.3 The Case of Japan; 2.4 The Case of France; 2.5 The Case of United Kingdom
2.6 Comparing France, United Kingdom and Japan2.7 The IDL Application; 2.8 Summary; References; Chapter 3: Exploring the Health Status of a Population: A Simple Health State Model vs the Gompertz Model; 3.1 Introduction; 3.2 How to Find the Health State Curve of the Gompertz Model; 3.3 A Very Interesting Property of the Gompertz Function; 3.4 Conclusions; Appendix; References; Chapter 4: Estimation of the Healthy Life Expectancy in Italy Through a Simple Model Based on Mortality Rate; 4.1 Introduction; 4.2 Estimation with a Model; 4.3 Estimation Without a Model (Direct Estimation)
4.4 ApplicationsReferences; Part II: Mortality Modeling and Applications; Chapter 5: Using Child, Adult, and Old-Age Mortality to Establish a Developing Countries Mortality Database (DCMD); 5.1 Introduction; 5.2 Methods; 5.2.1 The Census Method; The Census Method with Variable-r Model; The Census Method with Survival Model; 5.2.2 The Three-Input Model Life Table; 5.3 Validations; 5.4 Summary; Appendices; Appendix A. Adjusting Age Reporting Errors; Appendix B. The Errors of Estimating Survival Ratio Using Census Population; References
Chapter 6: A Method for the Evaluation of Health Trends in Greece, 1961-20136.1 Introduction; 6.2 Data and Methods; 6.3 Results; 6.4 Conclusions; References; Chapter 7: A Method for the Forecasting of Mortality; 7.1 Introduction; 7.2 The Relational Method of Kostaki; 7.3 The Modified 9 Parameters Heligman-Pollard Formula and the Cubic Splines; 7.4 An Application with the Greek Data; 7.5 The Results of the Analysis; 7.6 Conclusions; References; Chapter 8: Prospective Scenarios on Coverage of Deaths in Brazil; 8.1 Introduction; 8.2 Study Data and Methods; 8.2.1 Logistic Function (Bezerra 2008)
8.2.2 Gompertz Function (Souza et al. 2010)8.2.3 Holt Exponential Smoothing Model (Moretin and Toloi 2006); 8.2.4 Diagnostic and Residual Measures; 8.2.5 Criteria for Selection of Full Coverage of Deaths; 8.3 Results and Discussion; 8.4 Conclusions; References; Part III: Statistical Models and Methods in Biostatistics and Epidemiology; Chapter 9: Applications of the Cumulative Rate to Kidney Cancer Statistics in Australia; 9.1 Introduction; 9.2 Methods; 9.3 Results; 9.3.1 Incidence and Mortality; 9.3.2 Cumulative Rates to Age 75; 9.3.3 Cumulative Rates to Age 40
2.6 Comparing France, United Kingdom and Japan2.7 The IDL Application; 2.8 Summary; References; Chapter 3: Exploring the Health Status of a Population: A Simple Health State Model vs the Gompertz Model; 3.1 Introduction; 3.2 How to Find the Health State Curve of the Gompertz Model; 3.3 A Very Interesting Property of the Gompertz Function; 3.4 Conclusions; Appendix; References; Chapter 4: Estimation of the Healthy Life Expectancy in Italy Through a Simple Model Based on Mortality Rate; 4.1 Introduction; 4.2 Estimation with a Model; 4.3 Estimation Without a Model (Direct Estimation)
4.4 ApplicationsReferences; Part II: Mortality Modeling and Applications; Chapter 5: Using Child, Adult, and Old-Age Mortality to Establish a Developing Countries Mortality Database (DCMD); 5.1 Introduction; 5.2 Methods; 5.2.1 The Census Method; The Census Method with Variable-r Model; The Census Method with Survival Model; 5.2.2 The Three-Input Model Life Table; 5.3 Validations; 5.4 Summary; Appendices; Appendix A. Adjusting Age Reporting Errors; Appendix B. The Errors of Estimating Survival Ratio Using Census Population; References
Chapter 6: A Method for the Evaluation of Health Trends in Greece, 1961-20136.1 Introduction; 6.2 Data and Methods; 6.3 Results; 6.4 Conclusions; References; Chapter 7: A Method for the Forecasting of Mortality; 7.1 Introduction; 7.2 The Relational Method of Kostaki; 7.3 The Modified 9 Parameters Heligman-Pollard Formula and the Cubic Splines; 7.4 An Application with the Greek Data; 7.5 The Results of the Analysis; 7.6 Conclusions; References; Chapter 8: Prospective Scenarios on Coverage of Deaths in Brazil; 8.1 Introduction; 8.2 Study Data and Methods; 8.2.1 Logistic Function (Bezerra 2008)
8.2.2 Gompertz Function (Souza et al. 2010)8.2.3 Holt Exponential Smoothing Model (Moretin and Toloi 2006); 8.2.4 Diagnostic and Residual Measures; 8.2.5 Criteria for Selection of Full Coverage of Deaths; 8.3 Results and Discussion; 8.4 Conclusions; References; Part III: Statistical Models and Methods in Biostatistics and Epidemiology; Chapter 9: Applications of the Cumulative Rate to Kidney Cancer Statistics in Australia; 9.1 Introduction; 9.2 Methods; 9.3 Results; 9.3.1 Incidence and Mortality; 9.3.2 Cumulative Rates to Age 75; 9.3.3 Cumulative Rates to Age 40