This is a non-mathematical course designed specifically for medical and health professionals who deal with medical data and want to acquire some statistical skills. It is Part 1 of a two-part course that may be taken together for college credit. This course covers basic statistical concepts of probability, confidence intervals and medical vs. statistical significance. Course participants should have access to a standard statistical software package for use in course exercises.
Biostatistics 1 – For Medical Science and Public Health
This course will teach you the principal statistical concepts used in medical and health sciences. Basic concepts common to all statistical analysis are reviewed, and those concepts with specific importance in medicine and health are covered in detail.
This course teaches the principal statistical concepts used in medical and health sciences. Basic concepts common to all statistical analysis and of specific importance in medicine and health are covered in detail.
This course covers sensitivity-specificity and predictive values of medical tests, confidence intervals, medical vs. statistical significance, and chi-square, Student’s t and ANOVA F-tests, including multiple comparisons. After completing this course you will be able to:
- Test for bioequivalence
- 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
- Conduct an ANOVA test
- Perform the chi-square test
- Apply Student’s t-test to one- and two-sample situations
- Apply the Tukey and Bonferroni corrections for multiple comparisons
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.
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
- 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
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
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
Jul 31, 2020 to Aug 28, 2020
Jan 1, 2021 to Jan 29, 2021
Jul 30, 2021 to Aug 27, 2021
No classes scheduled at this time.
There are no prerequisites for this course.
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.
What Our Students Say
The theory was clear and well explained; which allowed me to tackle very unfamiliar concepts with relative ease. I feel I now have a really firm foundation on which to build and have been encouraged by this course to keep learning and working towards going even deeper into stats and analysis.
Frequently Asked Questions
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Class Start Dates: Aug 28, 2020, Feb 5, 2021, Aug 27, 2021
Class Start Dates: Jul 31, 2020, Jan 1, 2021, Jul 30, 2021
Class Start Dates: Jul 24, 2020, Jul 23, 2021
Additional Course Information
Organization of Course
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.
This is a 4-week course requiring 10-15 hours per week of review and study, at times of your choosing.
Homework in this course consists of short answer questions to test concepts, and guided data analysis problems using software. In addition to assigned readings, this course also has supplemental readings available online, discussion tasks, and an exam.
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, Statcrunch, MedCalc and R have these capabilities, and “how-to” illustrations are provided in the course for those packages; Statistics.com teaching assistants can assist with those packages. JMP, SAS, SPSS and Systat also have these capabilities, but do not have supporting illustrations.
If you are continuing to other courses in our certificate program, be aware that MedCalc and Statcrunch will not have all the capabilities needed for analyses in those courses, in case you want to pick software now and stick with it.
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
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.
Contact us to get information on group rates.
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:
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 the upper division baccalaureate degree, 3 semester hours in data mining, statistics, or computer science. Please note that the decision to accept specific credit recommendations is up to the academic institution accepting the credit.
ACE Digital Badge
Courses evaluated by the American Council on Education (ACE) have a digital badge available for successful completion of the course.
There is no supplemental content for this course.
There is no additional information for this course.
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