Introduction To Biostatistics With Jmp

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Introduction to Biostatistics with JMP

Steve Figard
Introduction to Biostatistics with JMP Book PDF

Author : Steve Figard
Publisher : SAS Institute
Page : 229 pages
File Size : 51,9 Mb
Release : 2019-10-04
Category : Computers
ISBN : 9781635267181

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Introduction to Biostatistics with JMP by Steve Figard Pdf

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.

Biostatistics Using JMP

Trevor Bihl
Biostatistics Using JMP Book PDF

Author : Trevor Bihl
Publisher : SAS Institute
Page : 356 pages
File Size : 42,8 Mb
Release : 2017-10-03
Category : Computers
ISBN : 9781635262414

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Biostatistics Using JMP by Trevor Bihl Pdf

Analyze your biostatistics data with JMP! Trevor Bihl's Biostatistics Using JMP: A Practical Guide provides a practical introduction on using JMP, the interactive statistical discovery software, to solve biostatistical problems. Providing extensive breadth, from summary statistics to neural networks, this essential volume offers a comprehensive, step-by-step guide to using JMP to handle your data. The first biostatistical book to focus on software, Biostatistics Using JMP discusses such topics as data visualization, data wrangling, data cleaning, histograms, box plots, Pareto plots, scatter plots, hypothesis tests, confidence intervals, analysis of variance, regression, curve fitting, clustering, classification, discriminant analysis, neural networks, decision trees, logistic regression, survival analysis, control charts, and metaanalysis. Written for university students, professors, those who perform biological/biomedical experiments, laboratory managers, and research scientists, Biostatistics Using JMP provides a practical approach to using JMP to solve your biostatistical problems.

Data Management and Analysis Using JMP

Jane E Oppenlander,Patricia Schaffer
Data Management and Analysis Using JMP Book PDF

Author : Jane E Oppenlander,Patricia Schaffer
Publisher : SAS Institute
Page : 250 pages
File Size : 49,8 Mb
Release : 2017-10-17
Category : Computers
ISBN : 9781629605401

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Data Management and Analysis Using JMP by Jane E Oppenlander,Patricia Schaffer Pdf

A holistic, step-by-step approach to analyzing health care data! Written for both beginner and intermediate JMP users working in or studying health care, Data Management and Analysis Using JMP: Health Care Case Studies bridges the gap between taking traditional statistics courses and successfully applying statistical analysis in the workplace. Authors Jane Oppenlander and Patricia Schaffer begin by illustrating techniques to prepare data for analysis, followed by presenting effective methods to summarize, visualize, and analyze data. The statistical analysis methods covered in the book are the foundational techniques commonly applied to meet regulatory, operational, budgeting, and research needs in the health care field. This example-driven book shows practitioners how to solve real-world problems by using an approach that includes problem definition, data management, selecting the appropriate analysis methods, step-by-step JMP instructions, and interpreting statistical results in context. Practical strategies for selecting appropriate statistical methods, remediating data anomalies, and interpreting statistical results in the domain context are emphasized. The cases presented in Data Management and Analysis Using JMP use multiple statistical methods. A progression of methods--from univariate to multivariate--is employed, illustrating a logical approach to problem-solving. Much of the data used in these cases is open source and drawn from a variety of health care settings. The book offers a welcome guide to working professionals as well as students studying statistics in health care-related fields.

JMP for Mixed Models

Ruth Hummel,Elizabeth A. Claassen,Russell D. Wolfinger
JMP for Mixed Models Book PDF

Author : Ruth Hummel,Elizabeth A. Claassen,Russell D. Wolfinger
Publisher : SAS Institute
Page : 380 pages
File Size : 41,7 Mb
Release : 2021-06-09
Category : Computers
ISBN : 9781952363856

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JMP for Mixed Models by Ruth Hummel,Elizabeth A. Claassen,Russell D. Wolfinger Pdf

Discover the power of mixed models with JMP and JMP Pro. Mixed models are now the mainstream method of choice for analyzing experimental data. Why? They are arguably the most straightforward and powerful way to handle correlated observations in designed experiments. Reaching well beyond standard linear models, mixed models enable you to make accurate and precise inferences about your experiments and to gain deeper understanding of sources of signal and noise in the system under study. Well-formed fixed and random effects generalize well and help you make the best data-driven decisions. JMP for Mixed Models brings together two of the strongest traditions in SAS software: mixed models and JMP. JMP’s groundbreaking philosophy of tight integration of statistics with dynamic graphics is an ideal milieu within which to learn and apply mixed models, also known as hierarchical linear or multilevel models. If you are a scientist or engineer, the methods described herein can revolutionize how you analyze experimental data without the need to write code. Inside you’ll find a rich collection of examples and a step-by-step approach to mixed model mastery. Topics include: Learning how to appropriately recognize, set up, and interpret fixed and random effects Extending analysis of variance (ANOVA) and linear regression to numerous mixed model designs Understanding how degrees of freedom work using Skeleton ANOVA Analyzing randomized block, split-plot, longitudinal, and repeated measures designs Introducing more advanced methods such as spatial covariance and generalized linear mixed models Simulating mixed models to assess power and other important sampling characteristics Providing a solid framework for understanding statistical modeling in general Improving perspective on modern dilemmas around Bayesian methods, p-values, and causal inference

Discovering Partial Least Squares with JMP

Ian Cox,Marie Gaudard
Discovering Partial Least Squares with JMP Book PDF

Author : Ian Cox,Marie Gaudard
Publisher : SAS Institute
Page : 308 pages
File Size : 53,7 Mb
Release : 2013-10
Category : Computers
ISBN : 9781629590929

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Discovering Partial Least Squares with JMP by Ian Cox,Marie Gaudard Pdf

Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores Partial Least Squares and positions it within the more general context of multivariate analysis. This book motivates current and potential users of JMP to extend their analytical repertoire by embracing PLS. Dynamically interacting with JMP, you will develop confidence as you explore underlying concepts and work through the examples. The authors provide background and guidance to support and empower you on this journey.

Introductory Biostatistics

Chap T. Le,Lynn E. Eberly
Introductory Biostatistics Book PDF

Author : Chap T. Le,Lynn E. Eberly
Publisher : John Wiley & Sons
Page : 616 pages
File Size : 41,5 Mb
Release : 2016-04-13
Category : Medical
ISBN : 9781118595985

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Introductory Biostatistics by Chap T. Le,Lynn E. Eberly Pdf

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.

Topics in Biostatistics

Walter T. Ambrosius
Topics in Biostatistics Book PDF

Author : Walter T. Ambrosius
Publisher : Springer Science & Business Media
Page : 530 pages
File Size : 43,7 Mb
Release : 2007-07-06
Category : Medical
ISBN : 9781588295316

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Topics in Biostatistics by Walter T. Ambrosius Pdf

This book presents a multidisciplinary survey of biostatics methods, each illustrated with hands-on examples. It introduces advanced methods in statistics, including how to choose and work with statistical packages. Specific topics of interest include microarray analysis, missing data techniques, power and sample size, statistical methods in genetics. The book is an essential resource for researchers at every level of their career.

Statistics in the Health Sciences

Albert Vexler,Alan Hutson
Statistics in the Health Sciences Book PDF

Author : Albert Vexler,Alan Hutson
Publisher : CRC Press
Page : 416 pages
File Size : 44,5 Mb
Release : 2018-01-19
Category : Medical
ISBN : 9781315293769

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Statistics in the Health Sciences by Albert Vexler,Alan Hutson Pdf

"This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors provide a detailed discussion of methodological and applied issues in parametric, semi-parametric and nonparametric approaches, including computationally extensive data-driven techniques, such as empirical likelihood, sequential procedures, and bootstrap methods. Many of these techniques are implemented using popular software such as R and SAS."— Vlad Dragalin, Professor, Johnson and Johnson, Spring House, PA "It is always a pleasure to come across a new book that covers nearly all facets of a branch of science one thought was so broad, so diverse, and so dynamic that no single book could possibly hope to capture all of the fundamentals as well as directions of the field. The topics within the book’s purview—fundamentals of measure-theoretic probability; parametric and non-parametric statistical inference; central limit theorems; basics of martingale theory; Monte Carlo methods; sequential analysis; sequential change-point detection—are all covered with inspiring clarity and precision. The authors are also very thorough and avail themselves of the most recent scholarship. They provide a detailed account of the state of the art, and bring together results that were previously scattered across disparate disciplines. This makes the book more than just a textbook: it is a panoramic companion to the field of Biostatistics. The book is self-contained, and the concise but careful exposition of material makes it accessible to a wide audience. This is appealing to graduate students interested in getting into the field, and also to professors looking to design a course on the subject." — Aleksey S. Polunchenko, Department of Mathematical Sciences, State University of New York at Binghamton This book should be appropriate for use both as a text and as a reference. This book delivers a "ready-to-go" well-structured product to be employed in developing advanced courses. In this book the readers can find classical and new theoretical methods, open problems and new procedures. The book presents biostatistical results that are novel to the current set of books on the market and results that are even new with respect to the modern scientific literature. Several of these results can be found only in this book.

A Review of Statistical Methods for Medical and Allied Health Professionals

Antoine Al-Achi
A Review of Statistical Methods for Medical and Allied Health Professionals Book PDF

Author : Antoine Al-Achi
Publisher : Cambridge Scholars Publishing
Page : 607 pages
File Size : 54,6 Mb
Release : 2022-10-13
Category : Mathematics
ISBN : 9781527588592

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A Review of Statistical Methods for Medical and Allied Health Professionals by Antoine Al-Achi Pdf

Statistics is a subject that benefits many other disciplines in its application and has contributed tremendously to the advancement of medicine. In recognition of the central role of statistics in the health fields, certification agencies have incorporated this science into their requirements for knowledge acquisition by their members. This recognition is also reflected in the board exams, particularly those taken for clinical board specialty certification tests. This book reinforces statistical principles for those who have taken a course in the subject during their years of education. It provides many examples and exercises to allow the reader to review the material discussed. Its concise presentation and the repetition of ideas throughout the text help solidify the reader’s learning and retention of knowledge of the various topics presented.

Statistical Data Analysis Using SAS

Mervyn G. Marasinghe,Kenneth J. Koehler
Statistical Data Analysis Using SAS Book PDF

Author : Mervyn G. Marasinghe,Kenneth J. Koehler
Publisher : Springer
Page : 679 pages
File Size : 52,8 Mb
Release : 2018-04-12
Category : Computers
ISBN : 9783319692395

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Statistical Data Analysis Using SAS by Mervyn G. Marasinghe,Kenneth J. Koehler Pdf

The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data. The book begins with an introduction beyond the basics of SAS, illustrated with non-trivial, real-world, worked examples. It proceeds to SAS programming and applications, SAS graphics, statistical analysis of regression models, analysis of variance models, analysis of variance with random and mixed effects models, and then takes the discussion beyond regression and analysis of variance to conclude. Pedagogically, the authors introduce theory and methodological basis topic by topic, present a problem as an application, followed by a SAS analysis of the data provided and a discussion of results. The text focuses on applied statistical problems and methods. Key features include: end of chapter exercises, downloadable SAS code and data sets, and advanced material suitable for a second course in applied statistics with every method explained using SAS analysis to illustrate a real-world problem. New to this edition: • Covers SAS v9.2 and incorporates new commands • Uses SAS ODS (output delivery system) for reproduction of tables and graphics output • Presents new commands needed to produce ODS output • All chapters rewritten for clarity • New and updated examples throughout • All SAS outputs are new and updated, including graphics • More exercises and problems • Completely new chapter on analysis of nonlinear and generalized linear models • Completely new appendix Mervyn G. Marasinghe, PhD, is Associate Professor Emeritus of Statistics at Iowa State University, where he has taught courses in statistical methods and statistical computing. Kenneth J. Koehler, PhD, is University Professor of Statistics at Iowa State University, where he teaches courses in statistical methodology at both graduate and undergraduate levels and primarily uses SAS to supplement his teaching.

Statistics

Michael J. Crawley
Statistics Book PDF

Author : Michael J. Crawley
Publisher : John Wiley & Sons
Page : 348 pages
File Size : 42,8 Mb
Release : 2005-05-06
Category : Mathematics
ISBN : 0470022981

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Statistics by Michael J. Crawley Pdf

Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http://www.imperial.ac.uk/bio/research/crawley/statistics Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

SAS for Forecasting Time Series, Third Edition

John C. Brocklebank, Ph.D.,David A. Dickey, Ph.D.,Bong Choi
SAS for Forecasting Time Series Third Edition Book PDF

Author : John C. Brocklebank, Ph.D.,David A. Dickey, Ph.D.,Bong Choi
Publisher : SAS Institute
Page : 384 pages
File Size : 45,7 Mb
Release : 2018-03-14
Category : Computers
ISBN : 9781629605449

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SAS for Forecasting Time Series, Third Edition by John C. Brocklebank, Ph.D.,David A. Dickey, Ph.D.,Bong Choi Pdf

To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users—such as statisticians, economists, and data scientists—can now match the most sophisticated forecasting methods to the most current SAS applications. Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Many of the newer methods are variations on the basic ARIMA structures. Completely updated, this new edition includes fresh, interesting business situations and data sets, and new sections on these up-to-date statistical methods: ARIMA models Vector autoregressive models Exponential smoothing models Unobserved component and state-space models Seasonal adjustment Spectral analysis Focusing on application, this guide teaches a wide range of forecasting techniques by example. The examples provide the statistical underpinnings necessary to put the methods into practice. The following up-to-date SAS applications are covered in this edition: The ARIMA procedure The AUTOREG procedure The VARMAX procedure The ESM procedure The UCM and SSM procedures The X13 procedure The SPECTRA procedure SAS Forecast Studio Each SAS application is presented with explanation of its strengths, weaknesses, and best uses. Even users of automated forecasting systems will benefit from this knowledge of what is done and why. Moreover, the accompanying examples can serve as templates that you easily adjust to fit your specific forecasting needs. This book is part of the SAS Press program.

Introductory Biostatistics

Chap T. Le,Lynn E. Eberly
Introductory Biostatistics Book PDF

Author : Chap T. Le,Lynn E. Eberly
Publisher : John Wiley & Sons
Page : 626 pages
File Size : 47,7 Mb
Release : 2016-05-02
Category : Medical
ISBN : 9780470905401

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Introductory Biostatistics by Chap T. Le,Lynn E. Eberly Pdf

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.

Essentials of Biostatistics in Public Health

Lisa M. Sullivan
Essentials of Biostatistics in Public Health Book PDF

Author : Lisa M. Sullivan
Publisher : Jones & Bartlett Learning
Page : 407 pages
File Size : 40,7 Mb
Release : 2023-02-28
Category : Medical
ISBN : 9781284296273

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Essentials of Biostatistics in Public Health by Lisa M. Sullivan Pdf

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.

Essentials of Biostatistics for Public Health

Lisa M. Sullivan
Essentials of Biostatistics for Public Health Book PDF

Author : Lisa M. Sullivan
Publisher : Jones & Bartlett Learning
Page : 407 pages
File Size : 41,8 Mb
Release : 2022-06-08
Category : Medical
ISBN : 9781284231977

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Essentials of Biostatistics for Public Health by Lisa M. Sullivan Pdf

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 and new case studies in each chapter focused on COVID-19. This edition will also include free access to JMP Student Edition Software, which is a streamlined version of SAS’ statistical discovery software and is well-suited to for introductory or intermediate statistics courses.