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Rehabilitation Research Boot Camp: Statistical Analysis

presented by Chad Cook, PT, PhD, MBA, FAPTA, FAAOMPT and Ken Learman, PT, PhD, OCS, COMT, FAAOMPT

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Disclosure Statement:

Financial: Chad Cook receives compensation from MedBridge for this course. He also is a research consultant for Hawkins Foundation of the Carolinas. Chad Cook receives royalties from Pearson education, Maitland Australian Physiotherapy Association, AgenceEBP, and is a paid associate editor for JOSPT. Kenneth Learman receives compensation from MedBridge for this course. There is no financial interest beyond the production of this course.

Non-Financial: Chad Cook is a senior associate editor for BJSM and is an editorial board member for J Physiotherapy and JMMT. Kenneth Learman has no competing nonfinancial interests or relationships with regard to the content presented in this course.

Satisfactory completion requirements: All disciplines must complete learning assessments to be awarded credit, no minimum score required unless otherwise specified within the course.

MedBridge is committed to accessibility for all of our subscribers. If you are in need of a disability-related accommodation, please contact [email protected]. We will process requests for reasonable accommodation and will provide reasonable accommodations where appropriate, in a prompt and efficient manner.

Accreditation Check:

Many clinicians struggle with applying their research design and statistical knowledge to the research articles they read. Many find that the principles of what statistical analyses tell them is simply not intuitive enough nor do they apply them frequently enough to feel comfortable with the process of linking stats to specific clinical questions. This course will specifically address these concerns by discussing the major considerations in statistics and applying these consideration to clinical problems in order to enhance the participants understanding of how to interpret research findings.

Meet Your Instructors

Chad Cook, PT, PhD, MBA, FAPTA, FAAOMPT

Chad Cook, PT, PhD, MBA, FAPTA, FAAOMPT, is a professor at Duke University and the program director of the Doctor of Physical Therapy division with a Category A appointment in the Duke Clinical Research Institute. He is a clinical researcher, physical therapist, and profession advocate with a long-term history of clinical care excellence and service…

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Ken Learman, PT, PhD, OCS, COMT, FAAOMPT

Ken Learman, PT, PhD, OCS, COMT, FAAOMPT is a Professor of Physical Therapy at Youngstown State University where he is responsible for teaching manual therapy, patient examination and clinical reasoning, and research design and data analysis in the curriculum. Ken is also affiliated faculty at Duke University Division of Physical Therapy. Ken has been a…

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Chapters & Learning Objectives

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1. Understanding Statistical Analysis

Chapter one introduces the learner to the foundations of statistical analysis including the advantages of developing a research team. This course will also describe the fundamentals of statistical analyses and how these probabilistic estimates apply to research design

2. Understanding and Describing Data

Chapter two will identify the different types of data and how an investigator chooses statistical procedures based on data types. The learner will also be able to understand and describe the different types of variables and their importance in the statistical analysis upon completion of this chapter

3. Parametric and Non-Parametric Statistics

Chapter three will compare and contrast the assumptions of both parametric and non-parametric statistics and why each category is advantageous for different types of data. A description of how each category of statistics uses a different approach to test a similar construct of probability will be provided. In addition, differences in output including statistical power will be explained.

4. Studies of Differences

Chapter four will introduce the learner to various statistical models used for studies of differences. The module will include models of parametric versus non-parametric examples for between groups as well as within group differences. The learner will also be introduced to more complex two-way designs where between groups and within groups or covariates are included.

5. Studies of Associations

Chapter five will cover key characteristics for studies of association and what statistics would be most appropriate for creating a model.

6. Clinical versus Statistical Significance

Chapter six will describe and value other statistical procedures used in biostatistics used to answer questions regarding concepts such as number needed to treat, survival analysis, factorial designs and more

7. Summary

Chapter eight will summarize the content contained in the statistics for rehabilitation research course and provide additional resources the learner can procure to garner further training.

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