Introduction to biostatistics with JMP
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...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cary, NC
SAS Institute
2019
|
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- There Are Error Bars, and Then There Are Error BarsSo, You Want to Put Error Bars on Your JMP Graphs ... ; Chapter 6: Null Hypothesis Significance Testing; Introduction; Biological Versus Statistical Ho; NHST Rationale; Error Types; A Case Study in JMP; Chapter 7: Tests on Frequencies: Analyzing Rates and Proportions; Introduction; Y.O.D.A. Assessment; One-way Chi-Square Tests and Mendel's Peas; Two-way Chi-Square Tests and Piscine Brain Worms; Chapter 8: Tests on Frequencies: Odds Ratios and Relative Risk; Introduction; Experimental Design and Data Collection; Relative Risk; Odds Ratios
- It Is Difficult to Make Predictions, Especially About the FutureChapter 12: Tests of Association: Correlation; Introduction; What Is Correlation?; How Does It Work?; What Can't Correlation Do?; How to Calculate Correlation Coefficients: An Eyepopping Example; Chapter 13: Modeling Trends: Multiple Regression; Introduction; What Is Multiple Regression?; The Fit Model Platform Is Your Friend!; Let's Throw All of Them in ... ; Stepwise; Chapter 14: Modeling Trends: Other Regression Models; Introduction; Modeling Nominal Responses; It's Not Linear! Now What?; Predictions
- Chapter 9: Tests of Differences Between Two GroupsIntroduction; Comparing Two Unrelated Samples and Bone Density; Comparing Two Related Samples and Secondhand Smoke; Chapter 10: Tests of Differences Between More Than Two Groups; Introduction; Comparing Unrelated Data; Comparing Related Data; Chapter 11: Tests of Association: Regression; Introduction; What Is Bivariate Linear Regression?; What Is Regression?; What Does Linear Regression Tell Us?; What Are the Assumptions of Linear Regression?; Is Your Weight Related to Your Fat?; How Do You Identify Independent and Dependent Variables?
- Intro; Contents; About This Book; What Does This Book Cover?; Is This Book for You?; What Should You Know about the Examples?; We Want to Hear from You; About The Author; Chapter 1: Some JMP Basics; Introduction; JMP Help; Manual Data Entry; Opening Excel Files; Column Information
- Value Ordering; Formulas; "Platforms"; The Little Red Triangle is Your Friend!; Row States
- Color and Markers; Row States
- Hiding and Excluding; Saving Scripts; Saving Outputs
- Journals & RTF Files; Graph Builder; Chapter 2: Thinking Statistically; Thinking Like a Statistician; Summary
- Includes bibliographical references
- Chapter 3: Statistical Topics in Experimental DesignIntroduction; Sample Size and Power; Replication and Pseudoreplication; Randomization and Preventing Bias; Variation and Variables; Chapter 4: Describing Populations; Introduction; Population Description; The Most Common Distribution
- Normal or Gaussian; Two Other Biologically Relevant Distributions; The JMP Distribution Platform; An Example: Big Class.jmp; Parametric versus Nonparametric and "Normal Enough"; Chapter 5: Inferring and Estimating; Introduction; Inferential Estimation; Confidence Intervals