Sarah E. Boslaugh – författare

An Intermediate Guide to SPSS Programming: Using Syntax for Data Management introduces the major tasks of data management and presents solutions using SPSS syntax. This book fills an important gap in the education of many students and researchers, whose coursework has left them unprepared for the data management issues that confront them when they begin to do independent research. It also serves as an introduction to SPSS programming. All the basic features of SPSS syntax are illustrated, as are many intermediate and advanced topics such as using vectors and loops, reading complex data files, and using the SPSS macro language. An Intermediate Guide to SPSS Programming will be a welcome addition to advanced undergraduate and graduate statistics courses across the social sciences, education, and health. Professional researchers, data managers, and statisticians will also find this an invaluable reference for SPSS and data management.

This concise reference provides a one-stop point of research that examines major aspects of health care systems for over 190 countries worldwide. In a consistent format, ten major health care categories are systematically examined for each country: 1. Emergency Health Services; 2. Costs of Hospitalization; 3. Costs of Drugs; 4. Major Health Issues; 5. Government Role in Health Care; 6. Insurance; 7. Access to Health Care; 8. Health Care Facilities; 9. Health Care Personnel (doctor level of training, etc.); and 10. Public Health Programs. The volume is organized in alphabetical order of country names. Each country is presented on a two- or three-page spread with the same descriptive and statistical content, allowing readers to compare health care systems from country to country. For example, a reader may compare costs of drugs in France versus the United States versus Canada. Each country spread will feature short entries on the ten health care categories accompanied by charts, table, and photos as appropriate. The work culminates as a unique and essential resource for pre-med and medical students, as well as researchers in sociology, economics, and the health management fields.

"Reflecting the interrelationship with diverse fields, topics range from health psychology to health economics, ethics, and biostatistics. Some articles desribe underlying biostatistical concepts-from measures of central tendency, to kappa, to the Pearson correlation coefficient. Others explain public health research design, including community studies, and address the value and limitations of case reports and case series. Of particular note is a decision chart to help in choosing appropriate research designs. Health students and faculty will desire an online version of this gem!"—CHOICEIssues of health and disease are central to human life, so an understanding of the science of epidemiology—the study of the patterns of disease and injury in human populations—is relevant to everyone. Many areas of study are directly concerned with epidemiological issues, including medicine and nursing, public policy, health administration, and the social and behavioral sciences. The Encyclopedia of Epidemiology presents state-of-the-art information from the field of epidemiology in a less technical and accessible style and format. With more than 600 entries, no single reference provides as comprehensive a resource in as focused and appropriate manner. The entries cover every major facet of epidemiology, from risk ratios to case-control studies to mediating and moderating variables, and much more. Relevant topics from related fields such as biostatistics and health economics are also included. Key Features Presents a Reader′s Guide to organize entries around themes or specific topics and easily guide users to areas of interest Offers cross-referenced terms, a brief listing of Further Readings, and stable Web site URLs following most entries Provides appendices that include a general bibliography to build on Further Readings, an annotated list of organizations relevant to epidemiology, the standard statistical tables used in epidemiology (t-distribution, F-table, normal [z] distribution, chi-square, etc.), and flow charts to aid researchers in selecting an appropriate study design This resource is a must-have for students, practitioners, researchers, and the informed public who want to know more about health and disease and related topics.