Jumping into Statistics: Introduction to Study Design and Statistical Analysis for Medical Research Using JMP Pro Statistical Software
12 Bi-monthly Zoom lectures on Wednesdays at 12 noon – 1 pm. Starts September 7th
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“Life Cycle of Research and Asking a Good Research Question”
Date: September 7th, 2022
Presenter(s): Cynthia Garvan, Ph.D., Research Professor, Department of Anesthesiology, College of Medicine
Learning Objectives: Participants will be able to 1) Understand research process and its iterative nature; 2) Identify necessary components of a successful research questions; 3) Create an actionable research question.
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“Choosing the Right Study Design for Your Research”
Date: September 21st, 2022
Presenter(s): Cynthia Garvan, Ph.D., Research Professor, Department of Anesthesiology, College of Medicine
Learning Objectives: Participants will be able to 1) Identify appropriate study designs for different type of research questions; 2) Distinguish between different levels of evidence; 3) Recognize threats to study validity and sources of bias.
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“Clinical Trial Design”
Date: October 5th, 2022
Presenter(s): Penny Reynolds, Ph.D., Research Assistant Professor, Department of Anesthesiology, College of Medicine and Department of Small Animal Clinical Sciences, College of Veterinary Medicine
Learning Objectives: Participants will be able to 1) Explain key concepts in clinical trial design and why it is used; 2) Describe commonly used clinical trial designs; 3) Understand and conduct randomization and blinding.
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“Populations, Samples, and Hypothesis Testing in Medical Research”
Date: October 19th, 2022
Presenter(s): Terrie Vasilopoulos, Ph.D.; Research Associate Professor, Departments of Anesthesiology and Orthopaedic Surgery & Sports Medicine, College of Medicine
Learning Objectives: Participants will be able to 1) Understand differences between populations and samples; 2) Identify and create testable hypotheses; 3) Interpret p-values and understand their limitations; 4) Identify information needed to adequately power a study.
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“Introduction to Data Types”
Date: November 2nd, 2022
Presenter(s): Cynthia Garvan, Ph.D., Research Professor, Department of Anesthesiology, College of Medicine
Learning Objectives: Participants will be able to 1) Explain importance of understanding data types; 2) Summarize different ways to classify variables; 3) Identify data type of a variable.
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“Best Practices in Data Collection and Database Management: Getting Started with SAS JMP Pro”
Date: November 16th, 2022
Presenter(s): Terrie Vasilopoulos, Ph.D.; Research Associate Professor, Departments of Anesthesiology and Orthopaedic Surgery & Sports Medicine, College of Medicine
Learning Objectives: Participants will be able to 1) Identify best approaches to data collection and entry; 2) Format data so that it can be easily used in statistical analysis; 3) Identify common errors in data entry and coding; 4) Utilize SAS JMP Pro for simple data management.
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“Summarizing and Visualizing Data”
Date: November 30th, 2022
Presenter(s): Penny Reynolds, Ph.D., Research Assistant Professor, Department of Anesthesiology, College of Medicine and Department of Small Animal Clinical Sciences, College of Veterinary Medicine
Terrie Vasilopoulos, Ph.D.; Research Associate Professor, Departments of Anesthesiology and Orthopaedic Surgery & Sports Medicine, College of Medicine
Learning Objectives: Participants will be able to 1) Identify appropriate summary statistics and graphics for different data types; 2) Interpret information from graphics; 3) Calculate summary statistics and create graphs in SAS JMP Pro.
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“Statistical Methods and How to Choose Them”
Date: December 14th, 2022
Presenter(s): Cynthia Garvan, Ph.D., Research Professor, Department of Anesthesiology, College of Medicine
Terrie Vasilopoulos, Ph.D.; Research Associate Professor, Departments of Anesthesiology and Orthopaedic Surgery & Sports Medicine, College of Medicine
Learning Objectives: Participants will be able to 1) Explain criteria in choosing a statistical method; 2) Distinguish between parametric and non-parametric methods; 3) Identify correct methods to compare groups; 4) Conduct group comparisons in SAS JMP Pro.
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“Risk Assessment Methods”
Date: January 11th, 2023
Presenter(s): Terrie Vasilopoulos, Ph.D.; Research Associate Professor, Departments of Anesthesiology and Orthopaedic Surgery & Sports Medicine, College of Medicine
Learning Objectives: Participants will be able to 1) Distinguish differences between odds ratio and relative risk; 2) Calculate absolute and relative risk reduction and numbers needed to treat; 3) Conduct risk assessment analyses in SAS JMP Pro.
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“Introduction to Regression and Correlation”
Date: January 25th, 2023
Presenter(s): Cynthia Garvan, Ph.D., Research Professor, Department of Anesthesiology, College of Medicine
Terrie Vasilopoulos, Ph.D.; Research Associate Professor, Departments of Anesthesiology and Orthopaedic Surgery & Sports Medicine, College of Medicine
Learning Objectives: Participants will be able to 1) Distinguish between correlation and regression, as well as between different types of correlation and regression methods; 2) Interpret correlation and regression coefficients; 3) Conduct regression and correlational analyses in SAS JMP Pro.
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“Time-to-Event (Survival) Analysis”
Date: February 8th, 2023
Presenter(s): Penny Reynolds, Ph.D., Research Assistant Professor, Department of Anesthesiology, College of Medicine and Department of Small Animal Clinical Sciences, College of Veterinary Medicine
Terrie Vasilopoulos, Ph.D.; Research Associate Professor, Departments of Anesthesiology and Orthopaedic Surgery & Sports Medicine, College of Medicine
Learning Objectives: Participants will be able to 1) Identify when time-to-event analyses are appropriate; 2) Identify and collect appropriate data for time-to-event analyses; 3) Interpret Kaplan-Meier curves; 4) Conduct time-to-event analyses in SAS JMP Pro.
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“Methods for Clinical Diagnostic Testing”
Date: February 22nd, 2023
Presenter(s): Terrie Vasilopoulos, Ph.D.; Research Associate Professor, Departments of Anesthesiology and Orthopaedic Surgery & Sports Medicine, College of Medicine
Learning Objectives: Participants will be able to 1) Create and interpret a Bland-Altman plot for methods comparison; 2) Correctly interpret prevalence, sensitivity/specificity, likelihood ratios, positive/negative predictive values and receiver operating characteristic (ROC) curves for a diagnostic test; 3) Compute diagnostics test statistics in SAS JMP Pro.
If you are interested let Melissa Liverman (liverman@UFL.EDU) know and we will forward you all the details!