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Biostatistics 2


Brief Description:

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.

Instructor(s):
Level: intermediate

Who Should Take This Course:

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.

Dates:
March 09, 2012 to April 06, 2012September 14, 2012 to October 12, 2012
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Biostatistics 2

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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.


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Biostatistics 2



Aim of Course:

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

Prerequisite(s):

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.


Course Program:

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

Organization of the Course:

This course takes place over the internet, at statistics.com 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 you will receive individual feedback on your homework answers.


Credit:
Students come to The Institute for a variety of reasons:
  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 (Program in Advanced 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).

As you begin the class, you will be asked to specify your category.

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a record of course completion will be issued by Statistics.com, upon request.


Course Text:

The required text is Medical Biostatistics, second ed., 2008, by Abhaya Indrayan. You may view it here and order it by using this discount form.  CRC Press usually offers a generous discount when the text is ordered using the discount form.

Please have your text in hand by the course start date.

Software:

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.

Register Now

Yes, I want to register for:

Biostatistics 2

Instructor(s):
Dates:
March 09, 2012 to April 06, 2012September 14, 2012 to October 12, 2012
Course Fee: $499
Academic Discounted 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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What our students say:

"Interaction with the instructor was good - he encouraged questions and they were answered quickly and professionally."
J. Johnston
Colorado State University
"The course was very good and well presented. The material in the notes was self-explanatory for a non-technical person, and the supplementary book provided good reading for the person who is interested in more technical details."
Gichangi
Dept. of Statistics, Univ. of Southern Denmark (doctoral student)
"Considering all of the material that needed to be covered, I thought the course was well written and thought provoking."
P. Anderson
Albion College
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