The Springer series on demographic methods and population analysis ;
vol. 46
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
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
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)
0
8
8
8
8
This book provides new theories, applications and quantitative methods in demography, population studies and statistics. It presents and applies data analysis, statistics and stochastic modeling techniques focusing on demography, population aging, mortality and health sciences. The book describes diverse stochastic processes as well as Markov and semi-Markov models in demography and population studies, along with chapters on statistical models and methods in biostatistics and epidemiology. As such the book will be a valuable source to demographers, health scientists, statisticians, economists and sociologists.