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Author: Rajeev Goswami
Publisher: MD Pub Pvt Limited
ISBN: 9788175331563
Category : Mathematics
Languages : en
Pages : 0
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Book Description
Biostatistics has become an essential asset to teachers, researchers and students of Biology. This book covers most of the statistical tools which are essential for each teacher, researcher and student of Biology i.e. Genetics, Aquaculture, Botany, Limnology, Environmental Sciences, Anthropology and Zoology. Foxpro is avery useful database to store data and statistical analysis can be done by developing programs.
Author: Rajeev Goswami
Publisher: MD Pub Pvt Limited
ISBN: 9788175331563
Category : Mathematics
Languages : en
Pages : 0
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Book Description
Biostatistics has become an essential asset to teachers, researchers and students of Biology. This book covers most of the statistical tools which are essential for each teacher, researcher and student of Biology i.e. Genetics, Aquaculture, Botany, Limnology, Environmental Sciences, Anthropology and Zoology. Foxpro is avery useful database to store data and statistical analysis can be done by developing programs.
Author: Nageswara Gadiraju Rao
Publisher: Pharmamed Press
ISBN: 9789352300723
Category : Medical
Languages : en
Pages : 386
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Book Description
The combination of Biostatistics and Computer Applications are very much useful for bio-sciences and bioinformatic fields. The book provides both concepts in synoptic view. The first part of the book includes chapters on basic concepts and sampling methods, probability and distributions, correlation and regression, Chi-Square test, analysis of variance, experimental designs and statistical quality control. The second part of the book provides a detailed, yet easy to understand description of the computer fundamentals. Each and every aspect is presented very clearly and logically. This part of book includes chapters on computer and its application history of computer, type of computers, number system, system concept fundamental of operating system, computer languages, networking concept, database management, and C programming. Salient Features All the chapters are written in a lucid manner A chapter on application of computers in pharmaceutical and clinical studies is added.
Author: Ray M. Merrill
Publisher: Jones & Bartlett Learning
ISBN: 1284251160
Category : Medical
Languages : en
Pages : 385
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Book Description
Principles and Applications of Biostatistics covers the primary concepts and methods that are required for a fundamental understanding of the use and interpretation of statistics for the biological and health sciences–from data presentation to multiple regression and analysis of variance. With a focus clarity, brevity, and accuracy, this text provides understandable and focused explanation of statistical principles and applications along with practical examples (provided in R and Microsoft Excel) and problems drawn from biological health and medical settings. Key Features: • Practical questions follow each problem to encourage students to consider why the problem likely exists, help formulate hypotheses, and then statistically assess those hypotheses. • Abundant assignment problems at the end of sections and each chapter cover a variety of application areas of biostatistics. • Rationale boxes offer explanations of why certain methods are used for specific cases.
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: 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: Christophe Lalanne
Publisher: Elsevier
ISBN: 0081010842
Category : Computers
Languages : en
Pages : 136
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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: Mark Chang
Publisher: Springer Science & Business Media
ISBN: 144199842X
Category : Medical
Languages : en
Pages : 316
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Book Description
Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Modern biostatistics, beyond just a simple application of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data) have promoted the formation of modern biostatistics. There are at least three characteristics of modern biostatistics: (1) in-depth engagement in the application fields that require penetration of knowledge across several fields, (2) high-level complexity of data because they are longitudinal, incomplete, or latent because they are heterogeneous due to a mixture of data or experiment types, because of high-dimensionality, which may make meaningful reduction impossible, or because of extremely small or large size; and (3) dynamics, the speed of development in methodology and analyses, has to match the fast growth of data with a constantly changing face. This book is written for researchers, biostatisticians/statisticians, and scientists who are interested in quantitative analyses. The goal is to introduce modern methods in biostatistics and help researchers and students quickly grasp key concepts and methods. Many methods can solve the same problem and many problems can be solved by the same method, which becomes apparent when those topics are discussed in this single volume.
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: Gerald van Belle
Publisher: John Wiley & Sons
ISBN: 0471602353
Category : Medical
Languages : en
Pages : 894
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Book Description
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.
Author: Joseph Glaz
Publisher: Springer Science & Business Media
ISBN: 1475734603
Category : Mathematics
Languages : en
Pages : 380
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Book Description
In many statistical applications, scientists have to analyze the occurrence of observed clusters of events in time or space. Scientists are especially interested in determining whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Scan statistics have relevant applications in many areas of science and technology including geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics.
