Applied Biostatistics For The Health Sciences
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Applied Biostatistics For The Health Sciences
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Author : Richard J. Rossi
language : en
Publisher: John Wiley & Sons
Release Date : 2022-04-27
Applied Biostatistics For The Health Sciences written by Richard J. Rossi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-27 with Medical categories.
APPLIED BIOSTATISTICS FOR THE HEALTH SCIENCES In this newly revised edition of Applied Biostatistics for the Health Sciences, accomplished statistician Dr. Richard Rossi delivers a robust and easy-to-understand exploration of statistics in the context of applied health science and biostatistics. The book covers sample design, logistic regression, experimental design, survival analysis, basic statistical computation, and many more topics with a strong focus on the correct use and interpretation of statistics. The author also explains how to assess the quality of observed data, how to collect quality data, and the use of confidence intervals in conjunction with hypothesis and significance tests. A thorough introduction to biostatistics, including explanations of fundamental concepts like populations, samples, statistics, biomedical studies, and data set examples A comprehensive exploration of population descriptions, including qualitative and quantitative variables, multivariate data, measures of dispersion, and probability Practical discussions of random sampling, summarizing random samples, and the measurement of the reliability of statistics In-depth examinations of confidence intervals, statistical hypothesis testing, simple and multiple linear regression, and experimental design Perfect for health science and biostatistics students and professors at the upper undergraduate and graduate levels, Applied Biostatistics for the Health Sciences is also a must-read reference for practitioners and professionals in the fields of pharmacy, biochemistry, nursing, health care informatics, and the applied health sciences.
Biostatistics
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Author : Wayne W. Daniel
language : en
Publisher: John Wiley & Sons
Release Date : 2005
Biostatistics written by Wayne W. Daniel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Biometry categories.
This classic text takes an applied and computer-oriented approach to its topical coverage. The book is intended for one or two semester courses in biostatistics at the undergraduate or graduate level offered by departments of biostatistics, statistics, mathematics, nursing and other allied health disciplines, and is also used in some departments of forestry and animal husbandry. Nearly all the examples and exercises make use of real data from actual research projects and reports from health sciences literature. Where appropriate, Minitab, SPSS and SAS commands and printouts are included as part of the examples and solutions to exercises.
Essentials Of Biostatistics In Public Health
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Author : Lisa M. Sullivan
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2023-02-28
Essentials Of Biostatistics In Public Health written by Lisa M. Sullivan and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-28 with Medical categories.
Essentials of Biostatistics in Public Health, Fourth Edition provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistics applications in the field of public health. Many examples are drawn directly from the author's remarkable clinical experiences with the renowned Framingham Heart Study, making this text practical, interesting, and accessible for those with little mathematical background. The examples are real, relevant, and manageable in size so that students can easily focus on applications rather than become overwhelmed by computations. The Fourth Edition has been thoroughly updated, and now offers a new chapter on career opportunities in biostatistics and new case studies focused on COVID-19 within each chapter. This edition also includes free access to JMP® Student Subscription (a $29.95 value). New cases based on COVID-19 highlight the importance and practical applications of biostatistics for addressing the pandemic.
Introductory Biostatistics For The Health Sciences
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Author : Michael R. Chernick
language : en
Publisher: Wiley-Interscience
Release Date : 2003-03-17
Introductory Biostatistics For The Health Sciences written by Michael R. Chernick and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-17 with Mathematics categories.
Accessible to medicine- and/or public policy-related audiences, as well as most statisticians. * Emphasis on outliers is discussed by way of detection and treatment. * Resampling statistics software is incorporated throughout. * Motivating applications are presented in light of honest theory. * Plentiful exercises are sprinkled throughout.
Applied Missing Data Analysis In The Health Sciences
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Author : Xiao-Hua Zhou
language : en
Publisher: John Wiley & Sons
Release Date : 2014-06-30
Applied Missing Data Analysis In The Health Sciences written by Xiao-Hua Zhou and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-30 with Medical categories.
A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics With an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various modern statistical methods for the analysis of missing data. The authors acknowledge the limitations of established techniques and provide newly-developed methods with concrete applications in areas such as causal inference methods and the field of diagnostic medicine. Organized by types of data, chapter coverage begins with an overall introduction to the existence and limitations of missing data and continues into traditional techniques for missing data inference, including likelihood-based, weighted GEE, multiple imputation, and Bayesian methods. The book’s subsequently covers cross-sectional, longitudinal, hierarchical, survival data. In addition, Applied Missing Data Analysis in the Health Sciences features: Multiple data sets that can be replicated using the SAS®, Stata®, R, and WinBUGS software packages Numerous examples of case studies in the field of biostatistics to illustrate real-world scenarios and demonstrate applications of discussed methodologies Detailed appendices to guide readers through the use of the presented data in various software environments Applied Missing Data Analysis in the Health Sciences is an excellent textbook for upper-undergraduate and graduate-level biostatistics courses as well as an ideal resource for health science researchers and applied statisticians.
Biostatistics For Population Health
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Author : Lisa M. Sullivan
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2020-04-02
Biostatistics For Population Health written by Lisa M. Sullivan and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-02 with Education categories.
Written for undergraduate and graduate students with little or no mathematical background, Biostatistics for Population Health: A Primer offers current and future health professionals a clear, and accessible approach to learning the basic tools and techniques necessary to conduct biostatistical analyses and the professional confidence to critically evaluate and interpret biostatistical findings. Each unit begins with a contemporary population health issue (e.g., the opioid crisis, physical inactivity among children, diabetes) and raises questions that require the use of techniques discussed in that unit. Each technique, in turn, is illustrated with realistic, contemporary examples (e.g. vaping) to pique student interest. By the end of the unit, students are encouraged to apply the techniques to address the questions that were raised.
Biostatistics
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Author : Gerald van Belle
language : en
Publisher: John Wiley & Sons
Release Date : 2004-10-06
Biostatistics written by Gerald van Belle and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-06 with Medical categories.
A respected introduction to biostatistics, thoroughly updated and revised The first edition of Biostatistics: A Methodology for the Health Sciences has served professionals and students alike as a leading resource for learning how to apply statistical methods to the biomedical sciences. This substantially revised Second Edition brings the book into the twenty-first century for today’s aspiring and practicing medical scientist. This versatile reference provides a wide-ranging look at basic and advanced biostatistical concepts and methods in a format calibrated to individual interests and levels of proficiency. Written with an eye toward the use of computer applications, the book examines the design of medical studies, descriptive statistics, and introductory ideas of probability theory and statistical inference; explores more advanced statistical methods; and illustrates important current uses of biostatistics. New to this edition are discussions of Longitudinal data analysis Randomized clinical trials Bayesian statistics GEE The bootstrap method Enhanced by a companion Web site providing data sets, selected problems and solutions, and examples from such current topics as HIV/AIDS, this is a thoroughly current, comprehensive introduction to the field.
Applied Statistics In Health Sciences
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Author : N. S. N. Rao
language : en
Publisher: Jaypee Brothers Publishers
Release Date : 2007
Applied Statistics In Health Sciences written by N. S. N. Rao and has been published by Jaypee Brothers Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Medical statistics categories.
Introductory Biostatistics
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Author : Chap T. Le
language : en
Publisher: John Wiley & Sons
Release Date : 2016-05-02
Introductory Biostatistics written by Chap T. Le and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-02 with Medical categories.
Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields. Beginning with an overview of descriptive statistics in the health sciences, the book delivers topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis of survival data, and designs for clinical trials. This extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for repeatedly measured outcomes including continuous, binary, and count outcomes • R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software • Multiple additional exercises, with partial solutions available to aid comprehension of crucial concepts • Notes on Computations sections to provide further guidance on the use of software • A related website that hosts the large data sets presented throughout the book Introductory Biostatistics, Second Edition is an excellent textbook for upper-undergraduate and graduate students in introductory biostatistics courses. The book is also an ideal reference for applied statisticians working in the fields of public health, nursing, dentistry, and medicine.
Statistics With Applications To The Biological And Health Sciences
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Author : M. Anthony Schork
language : en
Publisher:
Release Date : 2000
Statistics With Applications To The Biological And Health Sciences written by M. Anthony Schork and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.
THE definitive basic book on applied biostatistical methods. Particularly suited for readers with limited mathematical background, it makes biostatistics accessible by using thorough, intuitive explanations (often laced with humor and described with an appeal to common sense logical notions), and by focusing on selected statistical methods and procedures applicable to the biological, biomedical, and health sciences. It discusses the concepts of the method, the rationale of the method, when to use the method, and how to interpret the results. The computations (while included) are not the focus of the presentation. Several larger examples are used repeatedly (from chapter to chapter) to demonstrate how investigators develop and carry out a study by moving from problem statement, to data accrual, to computation of descriptive statistics, to estimation and hypothesis testing, including univariate, bivariate and finally multivariable procedures for both discrete and continuous variables. The book is not tied to any particular computer package (e.g., SAS, Systat, BMDP), however manyprototype computerized outputs of statistical analyses are illustrated and discussedin detail , with guidelines for reading and interpreting results. Descriptive Statistics. Probability. Populations, Samples, and Inference. Some Important Distributions. Estimation. Hypothesis Testing. Frequency Data. The Analysis of Variance. Simple Linear Regression and Correlation. Multiple Regression. Logistic Regression. Repeated Measures and Longitudinal Studies. Distribution-Free and Nonparametric Methods. Demography and Vital Statistics. For anyone involved in the biological, biomedical, or health sciences.