Biostatistics for Credit

Biostatistics for Credit

Biostatistics for Credit reviews the procedures covered in the introductory courses Biostatistics 1 and Biostatistics 2, and covers in more detail the principal statistical concepts used in medical and health sciences.

Biostatistics for Credit reviews the procedures covered in the introductory courses Biostatistics 1 and Biostatistics 2, and covers in more detail the principal statistical concepts used in medical and health sciences.

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Overview

This is an eight-week, non-mathematical course designed specifically for medical and health professionals who deal with medical data and want to acquire some statistical skills. It is a two-part course that may be taken together for college credit.

Part 1 covers basic statistical concepts of probability, confidence intervals and medical vs. statistical significance.

Part 2 covers clinical trial designs including randomized controlled trials, ROC curves, relative risk and odds ratios, and an introduction to survival analysis.

Intermediate Level Course
100% Online Courses
8 Week Course
ACE College Credit Eligible
Expert Instructors
Teacher Assistant Support
Tution-Back Guarantee

Learning Outcomes

Students who complete this two-part, eight-week course will be able to explain the role of probability in health and medicine; calculate confidence intervals; describe the differences between statistical and medical significance; select the proper statistical tests for quantitative data; be familiar with designs for clinical trials; plot ROC curves; calculate relative risk (RR) and odds ratio (OR); and understand introductory survival analysis.

  • Apply Bayes Rule to diagnostic tests
  • Calculate the sensitivity, specificity, and positive/negative predictive value of a medical test
  • Calculate large-sample and exact confidence intervals for means, medians and proportions
  • Calculate and explain p-values
  • Explain the concept of statistical power
  • Perform the chi-square test
  • Apply Student’s t-test to one- and two-sample situations
  • Conduct an ANOVA test
  • Apply the Tukey and Bonferroni corrections for multiple comparisons
  • Test for bioequivalence
  • Specify the design for a basic clinical trial, with randomization, blinding, masking and a control group
  • Explain designs for repeated measures and cross-over trials
  • Determine and interpret ROC curves
  • Calculate relative risk and odds ratios and their confidence intervals
  • Conduct inference procedures for relative risk and odds ratios
  • Explain and apply basic survival analysis models (censoring, Kaplan-Meier)

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.

Instructors

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Dr. Abhaya Indrayan

Dr. Abhaya Indrayan

Dr Abhaya Indrayan is the author of Medical Biostatistics (3rd ed. CRC Press) and former Professor and Chair of the Department of Biostatistics and Medical Informatics at Delhi University College of Medical Sciences, Delhi. Currently working as Biostatisitcs Consultant to Max Healthcare Institute, New Delhi, he has frequently provided biostatistical consultation to the World Health Organization, the World Bank and UNAIDS. Dr Indrayan has delivered the inaugural address at Biostatistics Workshop at Institute of Cytology and Preventive Oncology, NOIDA, been a Guest of Honor at Workshop on Designs and Sample Size at Postgraduate Institute of Medical Sciences and Research, Chandigarh, and has...

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Course Syllabus - Part 1

Week 1

Probability in Health and Medicine

  • Medical uncertainties and probability
  • Elementary laws of probability
  • Bayes' Rule
  • Sensitivity-specificity of a medical test
  • Positive and negative predictive value
  • Effect of prevalence

Week 2

Confidence Intervals

  • Sampling distributions and SEs
  • Large sample CI for one-sample mean and proportion
  • Exact CI for proportion and median
  • Large sample CI for differences between means and proportions
  • Sample size for estimation

Week 3

Statistical vs. Medical Significance

  • P-value and level of significance
  • The concept of statistical power
  • Medical vs. statistical significance
  • Sample size for significance and power analysis
  • Chi-square test for simple situations

Week 4

Some Statistical Tests for Quantitative Data

  • Student's t-test for one-sample and two-sample situations
  • ANOVA for one-way and two-way tables
  • Tukey test and Bonferroni procedures for multiple comparisons
  • Test for medically significant gain and equivalence test

Course Syllabus - Part 2

Week 5

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

Week 6

ROC Curves

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

Week 7

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

Week 8

Introductory Survival Analysis

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

Class Dates

2023

Jul 21, 2023 to Sep 15, 2023

2024

Jan 5, 2024 to Mar 1, 2024

Jul 19, 2024 to Sep 13, 2024

2025

Jan 3, 2025 to Feb 28, 2025

Prerequisites

There are no prerequisites for this course.

Introductory Statistics

We assume you are versed in statistics or have the equivalent understanding of topics covered in our Statistics 1 and Statistics 2 courses. but do not require them as eligibility to enroll in this course. Please review the course description for each of our introductory statistics courses, estimate which best matches your level of understanding of the material covered in these courses, then take the short assessment test for that course. If you can not answer more than half of the questions correctly, we suggest you take our Statistics 1 and Statistics 2 courses prior to taking this course.

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What Our Students Say​

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Left Square Qoute

I really enjoyed this course and found it sufficiently challenging, although well explained and the instructor was very approachable and explained concepts and addressed questions clearly and fairly.  Looking forward to Biostats 2!

Claire Kentler
La Trobe University
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Left Square Qoute

Gave me some insights in designing experimental studies, analysis of such eg matched case controls studies, and survial analysis. The course was a master piece. I like the style and I will take more courses.

Richard Chamboko
NOVA Information Management School
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Frequently Asked Questions

Can I transfer or withdraw from a course?

We have a flexible transfer and withdrawal policy that recognizes circumstances may arise to prevent you from taking a course as planned. You may transfer or withdraw from a course under certain conditions.
  • Students are entitled to a full refund if a course they are registered for is canceled.
  • You can transfer your tuition to another course at any time prior to the course start date or the drop date, however a transfer is not permitted after the drop date.
  • Withdrawals on or after the first day of class are entitled to a percentage refund of tuition.
Please see this page for more information.

Who are the instructors at the Institute?

The Institute has more than 60 instructors who are recruited based on their expertise in various areas in statistics. Our faculty members are:

  • Authors of well-regarded texts in their area;
  • Advisory board members;
  • Senior faculty; and
  • Educators who have made important contributions to the field of statistics or online education in statistics.

The majority of our instructors have more than five years of teaching experience online at the Institute.

Please visit our faculty page for more information on each instructor at The Institute for Statistics Education.

Please see our knowledge center for more information.

What type of courses does the Institute offer?

The Institute offers approximately 80 courses each year. Topics include basic survey courses for novices, a full sequence of introductory statistics courses, bridge courses to more advanced topics. Our courses cover a range of topics including biostatistics, research statistics, data mining, business analytics, survey statistics, and environmental statistics.

Please see our course search or knowledge center for more information.

Do your courses have for-credit options?

Our courses have several for-credit options:

  • Continuing education units (CEU)
  • College credit through The American Council on Education (ACE CREDIT)
  • Course credits that are transferable to the INFORMS Certified Analytics Professional (CAP®)

Please see our knowledge center for more information.

Is the Institute for Statistics Education certified?

The Institute for Statistics Education is certified to operate by the State Council of Higher Education for Virginia (SCHEV). For more information visit: https://www.schev.edu/

Please see our knowledge center for more information.

Visit our knowledge base and learn more.

FAQs + Knowledge Base

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Additional Course Information

Organization of Course

This course is comprised of two separate courses, taken together for college credit. Note: Parts 1 and 2 can be taken separately.

  • Part 1: Biostatistics 1 (4 weeks)
  • Part 2: Biostatistics 2 (4 weeks)

This course takes place online 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.

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.

Time Requirements

This is a 4-week course requiring 10-15 hours per week of review and study, at times of your choosing.

Homework

The homework in this course consists of short answer questions to test concepts, guided exercises in writing code, and guided data analysis problems using software.

Course Text

The course text is Medical Biostatistics, fourth ed., by Abhaya Indrayan, and can be ordered directly from the publisher, CRC Press.

Please order a copy of your course textbook prior to 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, MedCalc and R have these capabilities and are supported by statistics.com teaching assistants. SPSS and Systat also have these capabilities.

Software Uses and Descriptions | Available Free Versions
To learn more about the software used in this course, or how to obtain free versions of software used in our courses, please read our knowledge base article “What software is used in courses?” 

Course Fee & Information

Enrollment
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.

Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary.

Group Rates
Contact us to get information on group rates.

Discounts
Academic affiliation?  In most courses you are eligible for a discount at checkout.

New to Statistics.com?  Click here for a special introductory discount code.  

Invoice or Purchase Order
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.

Options for Credit and Recognition

This course is eligible for the following credit and recognition options:

No Credit
You may take this course without pursuing credit or a record of completion.

Mastery or Certificate Program Credit
If you are enrolled in mastery or certificate program that requires demonstration of proficiency in this subject, your course work may be assessed for a grade.

CEUs and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.

ACE CREDIT | College Credit
This course has been evaluated by the American Council on Education (ACE) and is recommended for the upper-division baccalaureate degree, 3 semester hours in biostatistics. Please note that the decision to accept specific credit recommendations is up to the academic institution accepting the credit.

Supplemental Information

Literacy, Accessibility, and Dyslexia

At Statistics.com, we aim to provide a learning environment suitable for everyone. To help you get the most out of your learning experience, we have researched and tested several assistance tools. For students with dyslexia, colorblindness, or reading difficulties, we recommend the following web browser add-ons and extensions:

 

Chrome

 

Firefox

 

Safari

  • Navidys (for colorblindness, dyslexia, and reading difficulties)
  • HelperBird for Safari (for colorblindness, dyslexia, and reading difficulties)

Miscellaneous

There is no additional information for this course.

Register for This Course​

Biostatistics for Credit
1199