Satisfactory completion requirements: All disciplines must complete learning assessments to be awarded credit, no minimum score required unless otherwise specified within the course.
Chad Cook, PT, PhD, MBA, FAPTA, FAAOMPT
Chad Cook, PT, PhD, MBA, FAPTA, FAAOMPT is professor at Duke University, 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 and 19…Read full bio
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…Read full bio
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
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.