Biostatistics in R: Clinical Trial Applications

taught by Din Chen
and Karl Peace

Brief Description:

This course covers the implementation in R of statistical procedures important for the clinical trial statistician.

Instructor(s):
Level: Intermediate / Introductory

Who Should Take This Course:

Analysts and statisticians at pharmaceutical companies and other health research organizations who need or want to become involved in the design, monitoring or analysis of clinical trials and who are familiar with R software and considering its use in clinical trials.

Dates:
May 25, 2012 to June 22, 2012November 16, 2012 to December 14, 2012
clintrialr Click here to be reminded of future sessions of this course.

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

Register Online -$499
Register Online -$399 (you must be affiliated with a college, university or high school)

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise. Multiple course registrations may be entitled to tuition discounts; read more.

Share This :

Biostatistics in R: Clinical Trial Applications

taught by Din Chen
and Karl Peace

Aim of Course:

This course covers the implementation in R of statistical procedures important for the clinical trial statistician.  Students completing the course will learn how to use R to compare treatments, incorporate covariates into the analysis, analyze survival (time-to-event) trials, model longitudinal data, and analysis of bioequivalence trials.

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

• Biostatistics - Controlled Trials

• Using R

Prerequisite(s):

• Equivalent of introductory statistics, (see Introduction to Statistics 1: Inference for a Single Variable, and Introduction to Statistics 2: Working with Bivariate Data),
• Introduction to R - Statistical Analysis,
• Biostatistics 1

Course Program:

SESSION 1: Treatment Comparisons

• R fundamentals associated with clinical trials
• A simple simulated clinical trial
• Statistical models for treatment comparisons
• Incorporating covariates

SESSION 2: Survival Analysis

• Time-to-event data structure
• Statistical models for survival data
• Right-censored data analysis
• Interval-censored data analysis

SESSION 3: Analysis of Data from Longitudinal Clinical Trials

• Trial designs and data structure
• Statistical models and analysis

SESSION 4: Analysis of Bioequivalence Clinical Trials

• Data from bioequivalence clinical trials
• Bioequivalence clinical trial endpoints
• Statistical methods to analyze bioequivalence

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 course text is Clinical Trial Data Analysis Using R by Ding-Geng (Din) Chen and Karl E. Peace, which you can order from CRC Press, or by using this form. CRC Press typically gives students a generous discount when students order the text using the above form (not by ordering the text online).

PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.

Software:

You must have a copy of R for the course. Click Here for information on obtaining a free copy.

Register Now

Yes, I want to register for:

Biostatistics in R: Clinical Trial Applications

taught by Din Chen
and Karl Peace

Instructor(s):
Dates:
May 25, 2012 to June 22, 2012November 16, 2012 to December 14, 2012
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.

I am affiliated with an academic institution
I am not affiliated with an academic institution