Biostatistical Analysis

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Biostatistical Analysis

Author : Jerrold H. Zar
Publisher : Unknown
Page : 756 pages
File Size : 40,9 Mb
Release : 2014
Category : Biometry
ISBN : 1292024046

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Biostatistical Analysis by Jerrold H. Zar Pdf

Zar's Biostatistncal Analysis, Fifth Edition, is the ideal textbook for graduate and undergraduate students seeking practncal coverage of statistncal analysis methods used by researchers to collect, summarize, analyze and draw conclusnons from biologic E research. The latest editnon of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introductnon for begnnnnng students and as a comprehensive reference book for biologic E researchers and for advanced students. This book is appropriate for a one- or two-semester, junior or graduate-level course in biostatistncs, biometry, quantitatnve biology, or statistics, and assumes a prerequisite ofalgebra.

Biostatistical Design and Analysis Using R

Author : Dr Murray Logan
Publisher : John Wiley & Sons
Page : 578 pages
File Size : 45,9 Mb
Release : 2011-09-20
Category : Science
ISBN : 9781444362473

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Biostatistical Design and Analysis Using R by Dr Murray Logan Pdf

R — the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. Topics covered include: simple hypothesis testing, graphing exploratory data analysis and graphical summaries regression (linear, multi and non-linear) simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures) frequency analysis and generalized linear models. Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques. The book is accompanied by a companion website www.wiley.com/go/logan/r with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.

Biostatistical Analysis

Author : Jerrold H. Zar
Publisher : Unknown
Page : 956 pages
File Size : 46,6 Mb
Release : 1999
Category : Mathematics
ISBN : UOM:39015042950553

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Biostatistical Analysis by Jerrold H. Zar Pdf

The latest edition of this best-selling biostatistics book is both comprehensive and easy to read.It provides a broad and practical overview of the statistical analysis methods used by researchers to collect, summarize, analyze, and draw conclusions from biological research data. TheFourth Editioncan serve as either an introduction to the discipline for beginning studentsora comprehensive procedural reference for today's practitioners.

Text Book Of Biostatistics Ii

Author : A.K. Sharma
Publisher : Discovery Publishing House
Page : 468 pages
File Size : 48,5 Mb
Release : 2005
Category : Electronic
ISBN : 8183560318

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Text Book Of Biostatistics Ii by A.K. Sharma Pdf

This book of Biostatistics has been specially written to meet the requirements of B.A/B.Sc. Students of all Indian Universities. Contents: Nonparametric Methods or Test, Applications of Computers in Biostatistical Analysis, Vital Statistics, Regression, Probability, Correlation Analysis, Skewness, Moment and Kurtosis, Theoretical Distributions.

Statistical Power Analysis for the Behavioral Sciences

Author : Jacob Cohen
Publisher : Routledge
Page : 625 pages
File Size : 42,8 Mb
Release : 2013-05-13
Category : Psychology
ISBN : 9781134742776

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Statistical Power Analysis for the Behavioral Sciences by Jacob Cohen Pdf

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Biostatistical Analysis

Author : Jerrold H. Zar
Publisher : Pearson Higher Ed
Page : 761 pages
File Size : 41,7 Mb
Release : 2013-08-29
Category : Mathematics
ISBN : 9781292037110

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Biostatistical Analysis by Jerrold H. Zar Pdf

Zar's Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate and undergraduate students seeking practical coverage of statistical analysis methods used by researchers to collect, summarise, analyse and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginning students and as a comprehensive reference book for biological researchers and for advanced students. This book is appropriate for a one- or two-semester, junior or graduate-level course in biostatistics, biometry, quantitative biology, or statistics, and assumes a prerequisite of algebra. The full text downloaded to your computer. With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends Print 5 pages at a time Compatible for PCs and MACs No expiry (offline access will remain whilst the Bookshelf software is installed. eBooks are downloaded to your computer and accessible either offline through the VitalSource Bookshelf (available as a free download), available online and also via the iPad/Android app. When the eBook is purchased, you will receive an email with your access code. Simply go to http://bookshelf.vitalsource.com/ to download the FREE Bookshelf software. After installation, enter your access code for your eBook. Time limit The VitalSource products do not have an expiry date. You will continue to access your VitalSource products whilst you have your VitalSource Bookshelf installed.

Biostatistics and Computer-based Analysis of Health Data Using SAS

Author : Christophe Lalanne,Mounir Mesbah
Publisher : Elsevier
Page : 174 pages
File Size : 46,9 Mb
Release : 2017-06-22
Category : Computers
ISBN : 9780081011713

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Biostatistics and Computer-based Analysis of Health Data Using SAS by Christophe Lalanne,Mounir Mesbah Pdf

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

Walking on Water

Author : Jeffrey Sandidge
Publisher : Xulon Press
Page : 94 pages
File Size : 41,9 Mb
Release : 2008-08
Category : Electronic
ISBN : 9781606476468

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Walking on Water by Jeffrey Sandidge Pdf

Walking on water will show you what to expect when you step out by faith to accomplish your God given assignment. Each Chapter will motivate you to keep pressing forward as you pursue God's call on your life. You will be faced with many challenges in life but God will guide you through them. God will change many things in your life, but above all, God will change you. Expect an exciting journey and expect to finish what God has started. Pastor Jeff is the Senior Pastor at the Kingdom of God Church in Cincinnati, Ohio. Jeff lived the 1st half of his life mastered by sin until he was saved in 1990, called to preach in 1993 and ordained in 1995. He attended Temple Baptist Bible College. Jeff was involved in teaching at his local church, preaching in jails, nursing homes and providing home bible studies for anyone interested. God placed it in Jeff's heart in 1993 to start a church. Pastor Jeff was not raised in church, so he knew that this was something that he could not do without the LORD. In March 2005, the Kingdom of God was born. This nondenominational church focuses on teaching people that God wants to manifest HIS Kingdom through them. "Thy Kingdom come, Thy will be done, In Earth as it is in Heaven"

Biostatistics

Author : Wayne W. Daniel,Chad L. Cross
Publisher : Wiley
Page : 720 pages
File Size : 48,5 Mb
Release : 2018-11-13
Category : Medical
ISBN : 9781119282372

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Biostatistics by Wayne W. Daniel,Chad L. Cross Pdf

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.

A Biostatistics Toolbox for Data Analysis

Author : Steve Selvin
Publisher : Cambridge University Press
Page : 579 pages
File Size : 47,6 Mb
Release : 2015-10-20
Category : Mathematics
ISBN : 9781107113084

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A Biostatistics Toolbox for Data Analysis by Steve Selvin Pdf

A Biostatistics Toolbox for Data Analysis delivers a sophisticated package of statistical methods for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. The book's statistical tools are organized into sections with similar objectives, each of which is accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls.

Concise Biostatistical Principles & Concepts

Author : Laurens Holmes, Jr. and Franklin Opara
Publisher : Author House
Page : 393 pages
File Size : 44,5 Mb
Release : 2014-03
Category : Education
ISBN : 9781491843512

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Concise Biostatistical Principles & Concepts by Laurens Holmes, Jr. and Franklin Opara Pdf

Biostatistics deals with making sense of data. While statistical inference is essential in our application of the research findings to clinical decision-making regarding the care of our patients, statistical inference without clinical relevance or importance can be very misleading and even meaningless. This textbook has attempted to deemphasize p value in the interpretation of clinical and biomedical data by stressing the importance of confidence intervals, which allow for the quantification of evidence. For example, a large study due to a large sample size that minimizes variability may show a statistically significant difference while in reality the difference is too insignificant to warrant any clinical relevance. Covers these relevant topics in biostatistics: Design Process, Sampling & Reality in Statistical Modeling Basics of Biostatistical Reasoning & Inference Central Tendency Theorem & Measures of Dispersion Most commonly used & abused parametric test - t test Most commonly used & abused non-parametric test - chi squared statistic Sample size and power estimations Logistic/Binomial Regression Models - Binary Outcomes Time-to-Event Data - Survival Analysis & Count Data - Poisson Regression ANOVA, ANCOVA - Mixed Effects Model (Fixed and Random), RANOVA, GEE Simple & Multiple Linear Regression Models Correlation Analysis (Pearson & Spearman Rank) Clinical & Statistical Significance - p value as a function of sample size Clinical and biomedical researchers often ignore an important aspect of evidence discovery from their funded or unfunded projects. Since the attempt is to illustrate some sets of relationships from the data set, researchers often do not exercise substantial amount of time in assessing the reliability and validity of the data to be utilized in the analysis. However, the expected inference or the conclusion to be drawn is based on the analysis of the un-assessed data. Reality in statistical modeling of biomedical and clinical research data remains the focus of scientific evidence discovery, and this book. This text is written to highlight the importance of appropriate design prior to analysis by placing emphasis on subject selection and probability sample and the randomization process when applicable prior to the selection of the analytic tool. In addition, this book stresses the importance of biologic and clinical significance in the interpretation of study findings. The basis for statistical inference, implying the quantification of random error is random sample, which had been perpetually addressed in this book. When studies are conducted without a random sample, except when disease registries/databases or consecutive subjects are utilized, as often encountered in clinical and biomedical research, it is meaningless to report the findings with p value.

Biostatistics and Computer-based Analysis of Health Data using Stata

Author : Christophe Lalanne,Mounir Mesbah
Publisher : Elsevier
Page : 134 pages
File Size : 46,6 Mb
Release : 2016-09-06
Category : Computers
ISBN : 9780081010846

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Biostatistics and Computer-based Analysis of Health Data using Stata by Christophe Lalanne,Mounir Mesbah Pdf

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

Biostatistical Methods

Author : John M. Lachin
Publisher : John Wiley & Sons
Page : 672 pages
File Size : 52,6 Mb
Release : 2014-08-22
Category : Mathematics
ISBN : 9781118625842

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Biostatistical Methods by John M. Lachin Pdf

Praise for the First Edition ". . . an excellent textbook . . . an indispensable referencefor biostatisticians and epidemiologists." —International Statistical Institute A new edition of the definitive guide to classical and modernmethods of biostatistics Biostatistics consists of various quantitative techniques thatare essential to the description and evaluation of relationshipsamong biologic and medical phenomena. Biostatistical Methods:The Assessment of Relative Risks, Second Edition develops basicconcepts and derives an expanded array of biostatistical methodsthrough the application of both classical statistical tools andmore modern likelihood-based theories. With its fluid and balancedpresentation, the book guides readers through the importantstatistical methods for the assessment of absolute and relativerisks in epidemiologic studies and clinical trials withcategorical, count, and event-time data. Presenting a broad scope of coverage and the latest research onthe topic, the author begins with categorical data analysis methodsfor cross-sectional, prospective, and retrospective studies ofbinary, polychotomous, and ordinal data. Subsequent chapterspresent modern model-based approaches that include unconditionaland conditional logistic regression; Poisson and negative binomialmodels for count data; and the analysis of event-time dataincluding the Cox proportional hazards model and itsgeneralizations. The book now includes an introduction to mixedmodels with fixed and random effects as well as expanded methodsfor evaluation of sample size and power. Additional new topicsfeatured in this Second Edition include: Establishing equivalence and non-inferiority Methods for the analysis of polychotomous and ordinal data,including matched data and the Kappa agreement index Multinomial logistic for polychotomous data and proportionalodds models for ordinal data Negative binomial models for count data as an alternative tothe Poisson model GEE models for the analysis of longitudinal repeated measuresand multivariate observations Throughout the book, SAS is utilized to illustrate applicationsto numerous real-world examples and case studies. A related websitefeatures all the data used in examples and problem sets along withthe author's SAS routines. Biostatistical Methods, Second Edition is an excellentbook for biostatistics courses at the graduate level. It is also aninvaluable reference for biostatisticians, applied statisticians,and epidemiologists.

Biostatistics

Author : David Baronov
Publisher : Taylor & Francis
Page : 291 pages
File Size : 46,9 Mb
Release : 2022-12-30
Category : Medical
ISBN : 9781000790443

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Biostatistics by David Baronov Pdf

Without question, biostatistical analysis has contributed to a slew of amazing medical breakthroughs. Yet it also distorts and deforms the holistic and contingent nature of health and medicine. How is it that biostatistics can both sharpen and weaken our understanding of health and medicine? What is unique about the content of health and medicine that so plainly reveals such distortions and deformities? Exploring these questions entails, first, a full survey of the tools and techniques of biostatistical analysis aiding medical breakthroughs. This survey must then be paired with a probe into the conceptual premises of these tools and techniques and how they refashion and reconstitute the inherently qualitative content of health and medicine in preparation for its quantification. We must grasp the statistical machinations at play, both technical and conceptual, that contrive to fit objects to tools rather than fitting tools to objects. This textbook introduces both the procedural methods and the hidden premises of biostatistical analysis.

The Analysis of Biological Data

Author : Michael Whitlock,Dolph Schluter
Publisher : W. H. Freeman
Page : 0 pages
File Size : 40,5 Mb
Release : 2019-12-27
Category : Biometry
ISBN : 131922623X

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The Analysis of Biological Data by Michael Whitlock,Dolph Schluter Pdf

Introductory textbook on data analysis for biology students that includes examples and exercise sets from medical and biological literature, intuitive explanations of key concepts, and a practical approach, focusing on data rather than the mathematical foundations of statistics.