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Introduction to Biostatistics with JMP

2019-10-04 Computers
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Release : 2019-10-04
Genre : Computers
Kind : eBook
Book Rating : 188/5 ( reviews)

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Book Synopsis Introduction to Biostatistics with JMP by : Steve Figard

Download or read book Introduction to Biostatistics with JMP written by Steve Figard. This book was released on 2019-10-04. Available in PDF, EPUB and Kindle. Book excerpt: 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

2017-10-03 Computers
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Release : 2017-10-03
Genre : Computers
Kind : eBook
Book Rating : 410/5 ( reviews)

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Book Synopsis Biostatistics Using JMP by : Trevor Bihl

Download or read book Biostatistics Using JMP written by Trevor Bihl. This book was released on 2017-10-03. Available in PDF, EPUB and Kindle. Book excerpt: 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

2017-10-17 Computers
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Release : 2017-10-17
Genre : Computers
Kind : eBook
Book Rating : 409/5 ( reviews)

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Book Synopsis Data Management and Analysis Using JMP by : Jane E Oppenlander

Download or read book Data Management and Analysis Using JMP written by Jane E Oppenlander. This book was released on 2017-10-17. Available in PDF, EPUB and Kindle. Book excerpt: 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

2021-06-09 Computers
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Release : 2021-06-09
Genre : Computers
Kind : eBook
Book Rating : 853/5 ( reviews)

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Book Synopsis JMP for Mixed Models by : Ruth Hummel

Download or read book JMP for Mixed Models written by Ruth Hummel. This book was released on 2021-06-09. Available in PDF, EPUB and Kindle. Book excerpt: 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

Out of Print: Essentials of Biostatistics in Public Health

2011-03-24 Education
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Release : 2011-03-24
Genre : Education
Kind : eBook
Book Rating : 321/5 ( reviews)

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Book Synopsis Out of Print: Essentials of Biostatistics in Public Health by : Lisa M. Sullivan

Download or read book Out of Print: Essentials of Biostatistics in Public Health written by Lisa M. Sullivan. This book was released on 2011-03-24. Available in PDF, EPUB and Kindle. Book excerpt: With a presentation style that is clear and straightforward, the text uses examples that are real, relevant, and manageable in size so that students can focus on applications rather than become overwhelmed by computations. This text is just one offering in Jones and Bartlett's unique Essential Public Health Series. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.

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