Data Management and Analysis Using JMP®: Health Care Case Studies: Health Care Case Studies

✍ Scribed by Jane E. Oppenlander, Patricia Schaffer

• Publisher: SAS Institute
• Year: 2017
• Tongue: English
• Leaves: 250
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Contents
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
Acknowledgments
Introduction
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
References
Nurses’ Perceptions of Evidence-based Practice: Assessingthe 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 EBPFavorably
Analysis Implications
Data Definitions
Problems
References
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
References
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
References
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
Reference
Creatinine Levels in Hospitalized Patients
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Introduction
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 exceed2 mg/dL?
Research Question 2: What proportion of patients have creatininelevels greater than 2 mg/dL?
Analysis Implications
Data Definitions
Problems
Reference
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 patientswith and without AKI?
Research Question 2: How does the likelihood of having AKIchange with length of stay?
Analysis Implications
Problems
References
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
References
Appointment Wait Times at Veterans Medical Centers
Chapter Summary Concepts
Background
Problem Statement
The Data
Data Management
Introduction
Concatenating Two Columns
Creating a New Column
Analytic Approach
JMP Analysis
Introduction
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
Reference
Building a Simple Predictive Model for Health Care Costs forNewborns 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
Reference
Building a Multivariate Predictive Model for Health Care Costsfor 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 andRMSE
Assessing the Model Fit – Multicollinearity
Assessing the Model Fit with Residual Plots
Assessing Regression Assumptions with Residual Plots
Analysis Implications
Data Definitions
Problems
References
Index