Secondary Data Sources for Public Health

Secondary Data Sources for Public Health PDF

Author: Sarah Boslaugh

Publisher: Cambridge University Press

Published: 2007-04-09

Total Pages: 164

ISBN-13: 1139464477

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Secondary data play an increasingly important role in epidemiology and public health research and practice; examples of secondary data sources include national surveys such as the BRFSS and NHIS, claims data for the Medicare and Medicaid systems, and public vital statistics records. Although a wealth of secondary data is available, it is not always easy to locate and access appropriate data to address a research or policy question. This practical guide circumvents these difficulties by providing an introduction to secondary data and issues specific to its management and analysis, followed by an enumeration of major sources of secondary data in the United States. Entries for each data source include the principal focus of the data, years for which it is available, history and methodology of the data collection process, and information about how to access the data and supporting materials, including relevant details about file structure and format.

Basic Statistics and Epidemiology

Basic Statistics and Epidemiology PDF

Author: Antony Stewart

Publisher: Radcliffe Publishing

Published: 2010

Total Pages: 209

ISBN-13: 1846194113

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This straightforward primer in basic statistics emphasizes its practical use in epidemiology and public health, providing understanding of essential topics such as study design, data analysis and statistical methods used in the execution of medical research. This new edition is substantially revised and includes entirely new material on statistical power and sample size. Clearly worded and assuming no prior knowledge, it gives full step-by-step guidance on performing statistical calculations. It contains numerous examples and exercises with detailed answers to help readers grasp the main point.

Applied Longitudinal Data Analysis for Epidemiology

Applied Longitudinal Data Analysis for Epidemiology PDF

Author: Jos W. R. Twisk

Publisher: Cambridge University Press

Published: 2013-05-09

Total Pages: 337

ISBN-13: 110706760X

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This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and categorical outcome variables. The emphasis of the discussion lies in the interpretation and comparison of the results of the different techniques. The second edition includes new chapters on the role of the time variable and presents new features of longitudinal data analysis. Explanations have been clarified where necessary and several chapters have been completely rewritten. The analysis of data from experimental studies and the problem of missing data in longitudinal studies are discussed. Finally, an extensive overview and comparison of different software packages is provided. This practical guide is essential for non-statisticians and researchers working with longitudinal data from epidemiological and clinical studies.

Biostatistics and Epidemiology

Biostatistics and Epidemiology PDF

Author: Sylvia Wassertheil-Smoller

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 199

ISBN-13: 1475724241

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Biostatistics and Epidemiology: A Primer for Health Professionals focuses on the underlying framework of the field and offers practical guidelines for research and interpretation. In addition to major sections devoted to statistics and epidemiology, the book includes a comprehensive exploration of the scientific method, probability, and clinical trials. New to the second edition are: -a reorganization of the material -new information on survival analysis such as the Cox proportional hazards model -topics in nonparametric statistics -expanded discussion of probability and its applications in epidemiology -an entirely new chapter on areas relevant to behavioral research and change scores, reliability, validity, and responsiveness -new appendices providing specific and clear instructions on how to carry out several additional statistical calculations and tests Biostatistics and Epidemiology describes principles and methods applicable to medicine, public health, allied health, psychology and education and will be useful not only to physicians doing clinical as well as basic science research, but also to students at undergraduate, graduate and medical school levels.

Encyclopedia of Epidemiology

Encyclopedia of Epidemiology PDF

Author: Sarah Boslaugh

Publisher: SAGE

Published: 2008

Total Pages: 1241

ISBN-13: 1412928168

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Presents information from the field of epidemiology in a less technical, more accessible format. Covers major topics in epidemiology, from risk ratios to case-control studies to mediating and moderating variables, and more. Relevant topics from related fields such as biostatistics and health economics are also included.

Biostatistics and Epidemiology

Biostatistics and Epidemiology PDF

Author: Sylvia Wassertheil-Smoller

Publisher: Springer Science & Business Media

Published: 2004-02-11

Total Pages: 249

ISBN-13: 0387402926

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For the new edition of Biostatistics and Epidemiology, Dr. Wassertheil-Smoller has included several new chapters (genetic statistics, molecular epidemiology, scientific integrity and research ethics) and a new appendix on the basic concepts of genetics and a glossary of genetic terminology. She has also expanded the coverage of multi-center trials (an important aspect of implementation of the standards of evidence-based medicine), controversies in screening for prostate, colon, breast, and other cancers.

Applied Multilevel Analysis

Applied Multilevel Analysis PDF

Author: Jos W. R. Twisk

Publisher: Cambridge University Press

Published: 2006-03-28

Total Pages: 196

ISBN-13: 9780521614986

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This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians; those books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the practical application of multilevel analysis in research. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyze the data. This approach will help bridge the conceptual and communication gap that exists between researchers and statisticians.

Statistical Approaches for Epidemiology

Statistical Approaches for Epidemiology PDF

Author: Amal K. Mitra

Publisher: Springer

Published: 2023-12-17

Total Pages: 0

ISBN-13: 9783031417832

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This textbook provides the basic concepts of epidemiology while preparing readers with the skills of applying statistical tools in real-life situations. Students, in general, struggle with statistical theories and their practical applications. This book makes statistical concepts easy to understand by focusing on real-life examples, case studies, and exercises. It also provides step-by-step guides for data analysis and interpretation using standard statistical software such as SPSS, SAS, R, Python, and GIS as appropriate, illustrating the concepts. Through the book's 23 chapters, readers primarily learn how to apply statistical methods in epidemiological studies and problem-solving. Among the topics covered: Clinical Trials Epidemic Investigation and Control Geospatial Applications in Epidemiology Survival Analysis and Applications Using SAS and SPSS Systematic Review and Meta-Analysis: Evidence-based Decision-Making in Public Health Missing Data Imputation: A Practical Guide Artificial Intelligence and Machine Learning Multivariate Linear Regression and Logistics Regression Analysis Using SAS Each chapter is written by eminent scientists and experts worldwide, including contributors from institutions in the United States, Canada, Bangladesh, India, Hong Kong, Malaysia, and the Middle East. Statistical Approaches for Epidemiology: From Concept to Application is an all-in-one book that serves as an essential text for graduate students, faculty, instructors, and researchers in public health and other branches of health sciences, as well as a useful resource for health researchers in industry, public health and health department professionals, health practitioners, and health research organizations and non-governmental organizations. The book also will be helpful for graduate students and faculty in related disciplines such as data science, nursing, social work, environmental health, occupational health, computer science, statistics, and biology.