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Oppenlander J.E., Schaffer P. Data Management and Analysis Using JMP: Health Care Case Studies

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Oppenlander J.E., Schaffer P. Data Management and Analysis Using JMP: Health Care Case Studies
Cary: SAS Institute Inc., 2017. — 250 p.
About This Book
Purpose
Is This Book for You?
Prerequisites
Scope of This Book
About the Examples
Software Used to Develop the Book's Content
Example Code and Data
Output and Graphics Used in This Book
Exercise Solutions
Additional Resources
Keep in Touch
About the Authors
Data Analysis in Health Care
Problem Solving Framework
Preparing for Analysis
Problem Formulation
Data Acquisition
Data Preparation and Management
Analysis
Exploring and Summarizing Data
Select and Apply Method
Disseminating Results
Interpreting Statistical Results in Context
Communicate to Stakeholders
Problems
Nurses’ Perceptions of Evidence-based Practice: Assessing the Current Culture
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Checking for Data Anomalies
Calculating Survey Response Rate
Analytic Approach
JMP Analysis
Descriptive Analysis
Confidence Interval for the Proportion of Nurses Who View EBP Favorably
Analysis Implications
Data Definitions
Problems
Nurses’ Perceptions of Evidence-based Practice: DoesIt Differ by Organization Level?
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Creating a Column for Organizational Level
Calculating Survey Response Rate by Organizational Level
Analytic Approach
Chi-Square Test for Independence
JMP Analysis
Descriptive Analysis
Chi-square Test for Independence
Analysis Implications
Data Definitions
Problems
Health Care Costs Associated with Smoking: A National Perspective
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Importing an Excel File in JMP
Splitting the “Data Value” Column
Modifying the JMP Columns
Analytic Approach
JMP Analysis
Analysis Implications
Data Definitions
Problems
Health Care Costs Associated with Smoking and Cessation Expenditures
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Joining Two JMP Data Tables
Creating a New Column Using the Formula Editor
Analytic Approach
JMP Analysis
Descriptive Analysis
Heat Maps for Cessation Expenditures
Correlation Analysis
Analysis Implications
Data Definitions
Problems
Creatinine Levels in Hospitalized Patients
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Setting the JMP Modeling Type
Renaming the Coded Variable Levels
Creating and Populating a Column
Analytic Approach
JMP Analysis
Descriptive Analysis
Research Question 1: On average do creatinine levels exceed 2 mg/dL?
Research Question 2: What proportion of patients have creatinine levels greater than 2 mg/dL?
Analysis Implications
Data Definitions
Problems
Acute Kidney Injury in Hospitalized Patients
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Analytic Approach
JMP Analysis
Descriptive Analysis
Research Question 1: Does length of stay differ between patients with and without AKI?
Research Question 2: How does the likelihood of having AKI change with length of stay?
Analysis Implications
Problems
Visualizing Influenza Activity
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Analytic Approach
JMP Analysis
Comparing States over Multiple Flu Seasons
Showing More Detail for Each Flu Season
Annotating Graphs
Comparing States by Week for the 2015-2016 Flu Season
Analysis Implications
Data Definitions
Problems
Appointment Wait Times at Veterans Medical Centers
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Concatenating Two Columns
Creating a New Column
Analytic Approach
JMP Analysis
Univariate Visualization
Bivariate Visualization
Multivariate Visualization: Bubble Plots
Multivariate Visualization: Geographic Maps
Analysis Implications
Data Definitions
Problems
Have Appointment Wait Times Changed at Veterans Medical Centers?
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Analytic Approach
JMP Analysis
Descriptive Analysis
Selecting the Hypothesis Test
Setting Up the Hypotheses
Checking Paired t-test Assumptions
Paired t-test
Analysis Implications
Data Definitions
Problems
Health Care Costs for Newborns in Adirondack Hospitals
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Importing an Excel File into JMP
Checking and Reformatting the Imported JMP Columns
Initial Data Review
Creating a JMP Project
Analytic Approach
JMP Analysis
Univariate Descriptive Analysis
Exploring Relationships with Total Costs: Length of Stay
Exploring Relationships with Total Costs: Hospital
Analysis Implications
Data Definitions
Problems
Building a Simple Predictive Model for Health Care Costs for Newborns in Adirondack Hospitals
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Creating a Data Subset
Creating Derived Data
Analytic Approach
JMP Analysis
Descriptive Analysis
Simple Regression Analysis: Total Costs and Length of Stay
Fitting the Regression Model
Assessing the Model Fit
Assessing Regression Assumptions with Residual Plots
Exploring Relationships with Total Costs: Birthweight
Analysis Implications
Data Definitions
Problems
Building a Multivariate Predictive Model for Health Care Costs for Newborns in Adirondack Hospitals
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Analytic Approach
JMP Analysis
Descriptive Analysis
Simple Regression Analysis
Multiple Regression Analysis
Fitting the Regression Model
Assessing the Model Fit – R2 and RMSE
Assessing the Model Fit – Multicollinearity
Assessing the Model Fit with Residual Plots
Assessing Regression Assumptions with Residual Plots
Analysis Implications
Data Definitions
Problems
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