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Sample Size and Power-Analysis for Cluster-Randomized and Multi-Site Trials

taught by Michael Borenstein


Brief Description:

This course covers the methods for calculating power and sample size for cluster-randomized clinical trials.

Instructor(s):
Level: intermediate/advanced

Who Should Take This Course:

Researchers involved in the planning design, implementation, management or analsis of cluster-randomized clinical trials.

Dates:
October 19, 2012 to November 16, 2012October 18, 2013 to November 15, 2013
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Sample Size and Power-Analysis for Cluster-Randomized and Multi-Site Trials

taught by Michael Borenstein

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Registration:
Please read the syllabus tab, noting the prerequisites, text and software requirements.

Register Online -$499
Register Online -$429 (you must be affiliated with a college, university or high school)

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Sample Size and Power-Analysis for Cluster-Randomized and Multi-Site Trials

taught by Michael Borenstein



Aim of Course:

This course covers the methods for calculating power and sample size for cluster-randomized clinical trials.

Please note: For the most part, the software used in this class is, as of Sep 2011, the only program ever developed that can compute power for three-level and four-level designs. Therefore, a large part of the class will be dedicated to this software. Software is supplied to registered students for the duration of the course. In order to apply the knowledge acquired in this course after it is over, you will need to obtain or have available a regular commercial copy of the program.

Prerequisite(s):

Course Program:

 

SESSION 1:Cluster Randomized Trials and Power Analysis

 

  • Basic issues in power analysis
  • How cluster-randomized trials pose unique problems for power analysis

SESSION 2: Hierarchical Designs in Cluster Randomized Trials

  • Hierarchical designs (HD) two level, three level, four level
  • Understanding the ICC, and how to specify it in the analysis
  • Working with means and with proportions in HD designs
  • Finding the most cost-effective ratio of subjects to clusters

SESSION 3: Randomized Block Designs in Cluster Randomized Trials

  • Randomized block designs (RB) two level, three level, four level
  • Understanding Tau-squared, and how to specify it in the analysis
  • Working with means and with proportions in RB designs
  • Finding the most cost-effective ratio of subjects to clusters

SESSION 4:Interpreting Output

  • Finding the minimum detectable effect size
  • Creating graphs showing power and cost as a function of design factors
  • Creating reports detailing assumptions and computations

HOMEWORK:

Homework in this course consists of guided data analysis problems using software and guided data modeling problems using software.

Organization of the Course:

This course takes place over the internet at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.


Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
  1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

All required materials will be provided in the course. The course will be taught by Michael Borenstein, the co-developer (with Larry Hedges) of CRT Power, a computer program to compute power for cluster-randomized trials.

Software:

Participants will have free access to the software CRT Power for the duration of the course, and will learn how to use this program to conduct advanced analyses

Register Now

Yes, I want to register for:

Sample Size and Power-Analysis for Cluster-Randomized and Multi-Site Trials

taught by Michael Borenstein



Instructor(s):
Dates:
October 19, 2012 to November 16, 2012October 18, 2013 to November 15, 2013
Course Fee: $499
Academic Rate: $429

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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