Secondary data analysis plays an increasingly important role in epidemiology and public health research and practice, but many difficulties confront researchers and analysts who wish to use secondary data to address a research or policy question. This practical guide is the only book to provide both an introduction to secondary data analysis and a list of major sources of secondary data in the United States. Entries for each data source include the focus of the data, years available, data collection process used, and directions about how to access the data and supporting materials.

Secondary data analysis plays an increasingly important role in epidemiology and public health research and practice, but many difficulties confront researchers and analysts who wish to use secondary data to address a research or policy question. This practical guide is the only book to provide both an introduction to secondary data analysis and a list of major sources of secondary data in the United States. Entries for each data source include the focus of the data, years available, data collection process used, and directions about how to access the data and supporting materials.

This practical guide shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general. Techniques such as statistical tests, transformations, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to understanding the analysis of many kinds...

This practical guide shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general. Techniques such as statistical tests, transformations, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to understanding the analysis of many kinds...

The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement properties, such as reliability, validity and responsiveness, and interpret the results. Worked...

The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement properties, such as reliability, validity and responsiveness, and interpret the results. Worked...