Biostatistics 2

taught by Abhaya Indrayan

This course covers clinical trial designs including randomized controlled trials, ROC curves, CI and tests for relative risk and odds ratio, and an introduction to survival analysis.

This non-mathematical course is specially designed for medical and health professionals who deal with medical data and want to acquire some statistical skills. These include nursing, pharmacy, laboratory technology and nutrition professionals beside physicians, surgeons and dentists.

Biostatistics 2

taught by Abhaya Indrayan

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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.

Biostatistics 2

taught by Abhaya Indrayan

This course covers clinical trial designs including randomized controlled trials, ROC curves, CI and tests for relative risk and odds ratio, and an introduction to survival analysis.

Although we recommend taking Biostatistics 1 prior to Biostatistics 2, most of the topics in Biostatistics 2 can be undertaken on their own, by anyone with a grounding in basic statistical inference.

SESSION 1: Introduction to Designs for Clinical Trials

• Control group
• Randomization and matching
• Blinding and masking
• One-way, two-way and repeated measures designs
• Cross-over design

SESSION 2: ROC Curves

• Review of sensitivity-specificity
• Serial and parallel tests
• ROC curve
• Predictivity-based ROC curve
• Clinical gains from a test

SESSION 3: Relative Risk (RR) and Odds Ratio (OR)

• Definitions and applicability of RR and OR
• CI and test of hypothesis for RR
• CI and test of hypothesis for attributable risk
• CI and test of hypothesis for OR

SESSION 4: Introductory Survival Analysis

• Censored durations and need of special methods
• Life table method
• Kaplan-Meier method

HOMEWORK:

Homework in this course consists of short answer questions to test concepts, guided data analysis problems using software and a final exam.

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.

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.

The course text is Medical Biostatistics, second ed., by Abhaya Indrayan, 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.

Course participants should have access to a standard statistical software package for use in course exercises, including obtaining CI's, performing tests of significance including two-way ANOVA and multiple comparisons tests, and producing ROC curves.

Stata, SAS and R have these capabilities and are supported by statistics.com teaching assistants. SPSS and Systat also have these capabilities. For more information about obtaining free or nominal cost versions of standard software packages, click here.

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