Main description:

Ageing epidemiology is the study of the health of an ageing population. It is a very active area of research in epidemiology, but has its own issues, which has led to the development of methodology specific to the area. This book covers all the essential statistical tools for analysing cross sectional and longitudinal epidemiological data for ageing research. It has lots of worked examples using real data to illustrate the methods, and Stata and R code for all the examples.

Contents:

Chapter 1: Introduction. Part 1: Cross sectional studies. Chapter 2: Population representative samples with binary outcomes; Chapter 3: Population representative samples with discrete, counts or continuous outcomes; Chapter 4: Cross sectional disease enriched studies. Part 2: Longitudinal and survival models from population based samples. Chapter 5: Two time points; Chapter 6: Multiple time points; Chapter 7: Survival models, time-to-event data and multi-state models (including death). Part 3: Population modelling. Chapter 8: Life expectancy and expectations in health states; Chapter 9: Prediction and diagnostic testing. Part 4: Issues of design and further model extensions. Chapter 10: Study design and analysis reporting; Chapter 11: Introduction to more complex concepts with existing solutions.