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Author: Gerda Koch
Publisher: Cengage Learning
ISBN: 9781133602705
Category : Medical
Languages : en
Pages : 384
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Book Description
BASIC ALLIED HEALTH STATISTICS AND ANALYSIS, 4th Edition is the comprehensive resource for future health care professionals in a variety of Health Information Management careers. Designed to explain common statistical computations and their practical uses in health care settings, the book's hands-on approach requires students to think through problems and then apply the proper method of statistical analysis. Topics explore the current health care industry, basic math and statistical computations, vital statistics and mortality rates, census and occupancy rates, and more, all in accordance with CAHIIM curriculum standards and competencies. Chapter learning features include examples, tables and figures, and even a separate column for note-taking, along with a brand new chapter on the fundamentals of research. Plenty of case studies and self-assessment opportunities keep students engaged in the material, while ensuring a practical and discerning knowledge of key data and statistical concepts. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Gerda Koch
Publisher: Cengage Learning
ISBN: 9781133602705
Category : Medical
Languages : en
Pages : 384
Get Book
Book Description
BASIC ALLIED HEALTH STATISTICS AND ANALYSIS, 4th Edition is the comprehensive resource for future health care professionals in a variety of Health Information Management careers. Designed to explain common statistical computations and their practical uses in health care settings, the book's hands-on approach requires students to think through problems and then apply the proper method of statistical analysis. Topics explore the current health care industry, basic math and statistical computations, vital statistics and mortality rates, census and occupancy rates, and more, all in accordance with CAHIIM curriculum standards and competencies. Chapter learning features include examples, tables and figures, and even a separate column for note-taking, along with a brand new chapter on the fundamentals of research. Plenty of case studies and self-assessment opportunities keep students engaged in the material, while ensuring a practical and discerning knowledge of key data and statistical concepts. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Edward L. Korn
Publisher: John Wiley & Sons
ISBN: 1118030869
Category : Mathematics
Languages : en
Pages : 408
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Book Description
How to apply statistical methods to survey data--a guide toeffective analysis of health surveys. With large health surveys becoming increasingly available forpublic use, researchers with little experience in survey methodsare often faced with analyzing data from surveys to addressscientific and programmatic questions. This practical book providesstatistical techniques for use in survey analysis, making healthsurveys accessible to statisticians, biostatisticians,epidemiologists, and health researchers. The authors clearlyexplain the theory and methods of survey analysis along withreal-world applications. They draw on their work at the NationalInstitutes of Health as well as up-to-date information from acrossthe literature to present: * The sampling background necessary to understand health surveys. * The application of such techniques as t-tests, linear regression,logistic regression, and survival analysis to survey data. * The use of sample weights in survey data analysis. * Dealing with complications in variance estimation in large healthsurveys. * Applications involving cross-sectional, longitudinal, andmultiple cross-sectional surveys, and the use of surveys to performpopulation- based case-control analyses. * Guidance on the correct use of statistical methods found insoftware packages. * Extensive bibliography.
Author: Gerda Koch
Publisher:
ISBN:
Category : Medical statistics
Languages : en
Pages : 356
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Book Description
Author: Christophe Lalanne
Publisher: Elsevier
ISBN: 0081010842
Category : Computers
Languages : en
Pages : 134
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Book Description
This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands. Provides detailed examples of the use of Stata for common biostatistical tasks in medical research Features a work program structured around the four previous chapters and a series of practical exercises with commented corrections Includes an appendix to help the reader familiarize themselves with additional packages and commands Focuses on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data
Author: Gerda Koch
Publisher: Arden Shakespeare
ISBN: 9780766810938
Category :
Languages : en
Pages : 64
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Book Description
This comprehensive text uses a discussion and problem-solving format to introduce learners to the computational skills required in the health care field. The hands-on approach challenges learners to think through a problem and choose the appropriate data, helping them to understand its underlying concepts. It also stresses the importance of evaluating the source of the data and how the rates arc obtained. The second edition includes a chapter on computerized rates and graphing. This introductory text teaches allied health students the computational skills they need to be successful.
Author: Wayne W. Daniel
Publisher: Wiley
ISBN: 1119282373
Category : Medical
Languages : en
Pages : 720
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Book Description
The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.
Author: Gerda Koch
Publisher:
ISBN: 9789812544810
Category : Medical statistics
Languages : en
Pages : 276
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Book Description
Author: Christophe Lalanne
Publisher: Elsevier
ISBN: 0081011717
Category : Computers
Languages : en
Pages : 174
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Book Description
This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands. Presents the use of SAS software in the statistical approach for the management of data modeling Includes elements of the language and descriptive statistics Supplies measures of association, comparison of means, and proportions for two or more samples Explores linear and logistic regression Provides survival data analysis
Author: Applied Statistics Training Institute (U.S.)
Publisher:
ISBN:
Category : Health surveys
Languages : en
Pages : 72
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Book Description
Author: Koch
Publisher:
ISBN: 9781473715226
Category :
Languages : en
Pages :
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Book Description
