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Adaptive Designs for Clinical Trials

taught by Vidyadhar Phadke


Brief Description:

This course will teach you how to design, monitor and analyze clinical trials using statistically sound principles that incorporate interim looks at the data, possible early stopping, and sample size re-estimation at interim. It covers group sequential designs, adaptive dose finding (escalation) designs, and two-stage (e.g., phase I/II) adaptive designs. In addition, the impact of protocol amendments on clinical outcomes will also be studied.

Instructor(s):
Level: Intermediate/Advanced

Who Should Take This Course:

Statisticians with responsibility for designing, analyzing and reporting clinical trials.

Dates:
March 22, 2013 to April 19, 2013
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Adaptive Designs for Clinical Trials

taught by Vidyadhar Phadke

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

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Adaptive Designs for Clinical Trials

taught by Vidyadhar Phadke



Aim of Course:

This course will introduce the adaptive design theory and the hands-on techniques for planning, designing, monitoring, and analyzing adaptive trials. We will summarize the major statistical methods for adaptive trials with an emphasis on the relationships among them. You will learn different adaptive trial designs such as sample-size re-estimation, drop-loser, biomarker-adaptive design, and response-adaptive randomization designs through trial examples and the programming tools provided (SAS and R). Challenges of adaptive trial implementations will be discussed and recommendations are provided. Ultimately, the attendees are expected to walk away with the right knowledge, skill, and tools for designing and managing adaptive trials.

This course is a core requirement or elective in the following Program(s) in Analytics and Statistical Studies (PASS):

Prerequisite(s):

Course Program:

SESSION 1:

  • General Concept
  • Fundamental Theory
  • Group Sequential Design
  • Adaptive Interim Analysis in Clinical Trials
SESSION 2
  • Adaptive Dose Finding Design
  • Enrichment Design for Target Clinical Trials
SESSION 3
  • Two-Stage Adaptive Design
  • Sample size estimation/allocation
SESSION 4:
  • Protocol Amendments
  • Clinical Trial Simulation
  • Efficiency of Adaptive Design
  • Case Studies

HOMEWORK:

Homework in this course consists of short answer questions to test concepts, 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:

The following texts will be used during the course:

Pong, A.P. and Chow, S.C. (2010). Handbook of Adaptive Designs in Pharmaceutical and Clinical Development. Chapman and Hall/CRC, Taylor & Franics, New York, New York.  If you would like to receive a 25% discount from the publisher, please use this form.

FDA Draft Guidance on Adaptive Design Clinical Trials for Drugs and Biologics, The U.S. Food and Drug Administration, Rockville, Maryland, February, 2010, which can be downloaded here.

Software:

Students will have access to EaSt software, which implements some of statistical methods for the adaptive clinical trial designs described in the text book.  Illustrations and demos will be provided for students to work through on their own.

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Yes, I want to register for:

Adaptive Designs for Clinical Trials

taught by Vidyadhar Phadke



Instructor(s):
Dates:
March 22, 2013 to April 19, 2013
Course Fee: $499
Academic Rate: $399

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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