Introduction To Biostatistics & Computer Science PDF Download
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Author: Mr. Y. I. Shah Dr. A. R. Paradkar
Publisher: Pragati Books Pvt. Ltd.
ISBN: 9788185790336
Category :
Languages : en
Pages : 296
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Book Description
Author: Mr. Y. I. Shah Dr. A. R. Paradkar
Publisher: Pragati Books Pvt. Ltd.
ISBN: 9788185790336
Category :
Languages : en
Pages : 296
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Book Description
Author: Steve Figard
Publisher: SAS Institute
ISBN: 1635267188
Category : Computers
Languages : en
Pages : 239
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Book Description
Explore biostatistics using JMP® in this refreshing introduction Presented in an easy-to-understand way, Introduction to Biostatistics with JMP® introduces undergraduate students in the biological sciences to the most commonly used (and misused) statistical methods that they will need to analyze their experimental data using JMP. It covers many of the basic topics in statistics using biological examples for exercises so that the student biologists can see the relevance to future work in the problems addressed. The book starts by teaching students how to become confident in executing the right analysis by thinking like a statistician then moves into the application of specific tests. Using the powerful capabilities of JMP, the book addresses problems requiring analysis by chi-square tests, t tests, ANOVA analysis, various regression models, DOE, and survival analysis. Topics of particular interest to the biological or health science field include odds ratios, relative risk, and survival analysis. The author uses an engaging, conversational tone to explain concepts and keep readers interested in learning more. The book aims to create bioscientists who can competently incorporate statistics into their investigative toolkits to solve biological research questions as they arise.
Author: Ralph B. D'Agostino
Publisher: Brooks/Cole Publishing Company
ISBN: 9780534423995
Category : Mathematics
Languages : en
Pages : 652
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Book Description
INTRODUCTORY APPLIED BIOSTATISTICS (WITH CD-ROM) explores statistical applications in the medical and public health fields. Examples drawn directly from the authors' clinical experiences with applied biostatistics make this text both practical and applicable. You'll master application techniques by hand before moving on to computer applications, with SAS programming code and output for each technique covered in every chapter. For each topic, the book addresses methodology, including assumptions, statistical formulas, and appropriate interpretation of results. This book is a must-have for every student preparing for a statistical career in a healthcare field!
Author: N Gurumani
Publisher: MJP Publisher
ISBN: 8180942562
Category : Science
Languages : en
Pages : 250
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Book Description
Anthology containing: Introduction Population and Sample variables Collection of data classification and tabulation of data DIAGRAMS AND GRAPHS Frequency Distribution Descriptive Statistics scriv Measures of Central Tendency Averages Measures of Dispersion Skewness and Kurtosis Inferential statistics Probability Theoretical Probability Distributions Chi-Square Test Binomial Distribution Poisson Distribution Normal Distribution Inference About Population Sampling Methods Hypothesis Testing Student’s t-Test Analysis of Variance Correlation Regression Demography Computer Applications in Biology Number Systems Computer Codes Organisation of a Computer Computer Program Language Computer Memory and Storage Devices Operating System and Application Programs MS Excel—Statistical Functions Appendix References
Author: Babak Shahbaba
Publisher: Springer Science & Business Media
ISBN: 1461413028
Category : Medical
Languages : en
Pages : 355
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Book Description
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.
Author: Richard Karban
Publisher: Princeton University Press
ISBN: 0691161763
Category : Science
Languages : en
Pages : 198
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Book Description
The essential guide to successful ecological research—now updated and expanded Most books and courses in ecology cover facts and concepts but don't explain how to actually do ecological research. How to Do Ecology provides nuts-and-bolts advice on organizing and conducting a successful research program. This one-of-a-kind book explains how to choose a research question and answer it through manipulative experiments and systematic observations. Because science is a social endeavor, the book provides strategies for working with other people, including professors and collaborators. It suggests effective ways to communicate your findings in the form of journal articles, oral presentations, posters, and grant and research proposals. The book also includes ideas to help you identify your goals, organize a season of fieldwork, and deal with negative results. In short, it makes explicit many of the unspoken assumptions behind doing good research in ecology and provides an invaluable resource for meaningful conversations between ecologists. This second edition of How to Do Ecology features new sections on conducting and analyzing observational surveys, job hunting, and becoming a more creative researcher, as well as updated sections on statistical analyses.
Author: Bryan Kestenbaum
Publisher: Springer Science & Business Media
ISBN: 0387884335
Category : Medical
Languages : en
Pages : 242
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Book Description
Concise, fast-paced, intensive introduction to clinical research design for students and clinical research professionals Readers will gain sufficient knowledge to pass the United States Medical Licensing Examination part I section in Epidemiology
Author: Chap T. Le
Publisher: John Wiley & Sons
ISBN: 1118596072
Category : Medical
Languages : en
Pages : 616
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Book Description
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.
Author: Robert C. Duncan
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 272
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Book Description
Author: Christophe Lalanne
Publisher: Elsevier
ISBN: 0081011717
Category : Mathematics
Languages : en
Pages : 176
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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
