Skip to content

Explore Courses | Elder Research | Contact | LMS Login

Statistics.com
  • Curriculum
    • Curriculum
    • About Us
    • Testimonials
    • Management Team
    • Faculty Search
    • Teach With Us
    • Credit & Credentialing
  • Courses
    • Explore Courses
    • Course Calendar
    • About Our Courses
    • Course Tour
    • Test Yourself!
  • Mastery Series
    • Mastery Series Program
    • Bayesian Statistics
    • Business Analytics
    • Healthcare Analytics
    • Marketing Analytics
    • Operations Research
    • Predictive Analytics
    • Python for Analytics
    • R Programming
    • Rasch & IRT
    • Spatial Statistics
    • Statistical Modeling
    • Survey Statistics
    • Text Mining and Analytics
  • Certificates
    • Certificate Program
    • Analytics for Data Science
    • Biostatistics
    • Programming for Data Science – R (Novice)
    • Programming for Data Science – R (Experienced)
    • Programming for Data Science – Python (Novice)
    • Programming for Data Science – Python (Experienced)
    • Social Science
  • Degrees
    • Degree Programs
    • Computational Data Analytics Certificate of Graduate Study from Rowan University
    • Health Data Management Certificate of Graduate Study from Rowan University
    • Data Science Analytics Master’s Degree from Thomas Edison State University (TESU)
    • Data Science Analytics Bachelor’s Degree – TESU
    • Mathematics with Predictive Modeling Emphasis BS from Bellevue University
  • Enterprise
    • Organizations
    • Higher Education
  • Resources
    • Blog
    • FAQs & Knowledge Base
    • Glossary
    • Site Map
    • Statistical Symbols
    • Weekly Brief Newsletter Signup
    • Word of the Week
Menu Close
  • Curriculum
    • Curriculum
    • About Us
    • Testimonials
    • Management Team
    • Faculty Search
    • Teach With Us
    • Credit & Credentialing
  • Courses
    • Explore Courses
    • Course Calendar
    • About Our Courses
    • Course Tour
    • Test Yourself!
  • Mastery Series
    • Mastery Series Program
    • Bayesian Statistics
    • Business Analytics
    • Healthcare Analytics
    • Marketing Analytics
    • Operations Research
    • Predictive Analytics
    • Python for Analytics
    • R Programming
    • Rasch & IRT
    • Spatial Statistics
    • Statistical Modeling
    • Survey Statistics
    • Text Mining and Analytics
  • Certificates
    • Certificate Program
    • Analytics for Data Science
    • Biostatistics
    • Programming for Data Science – R (Novice)
    • Programming for Data Science – R (Experienced)
    • Programming for Data Science – Python (Novice)
    • Programming for Data Science – Python (Experienced)
    • Social Science
  • Degrees
    • Degree Programs
    • Computational Data Analytics Certificate of Graduate Study from Rowan University
    • Health Data Management Certificate of Graduate Study from Rowan University
    • Data Science Analytics Master’s Degree from Thomas Edison State University (TESU)
    • Data Science Analytics Bachelor’s Degree – TESU
    • Mathematics with Predictive Modeling Emphasis BS from Bellevue University
  • Enterprise
    • Organizations
    • Higher Education
  • Resources
    • Blog
    • FAQs & Knowledge Base
    • Glossary
    • Site Map
    • Statistical Symbols
    • Weekly Brief Newsletter Signup
    • Word of the Week

Blog

Bayesian Statistics

  • June 2, 2020
  • , 6:04 pm

Bayesian statistics provides probability estimates of the true state of the world. An unremarkable statement, you might think -what else would statistics be for? But classical frequentist statistics, strictly speaking, only provide estimates of the state of a hothouse world, estimates that must be translated into judgements about the real world. For example, suppose you have been monitoring a new hypertension drug that has just come onto the market (Phase IV surveillance) to watch for side effects. Out of 5000 patients being tracked, 16 have newly-developed glaucoma one year into the monitoring period, double what you would expect.

Classical statistics will say “IF the drug has no glaucoma-producing tendencies, what is the probability of seeing such a high number of glaucoma cases?” From the answer to that question you make further inference judgements about the drug. But what you really want to know is “What is the probability that the drug is associated with increased glaucoma?” Classical statistical methods do not directly answer that question, though they do provide p-values and confidence intervals that are often misinterpreted as doing so.

Bayesian statistics seeks to answer the latter question by combining prior information and beliefs (in the form of probability distributions) with the current information in the study to arrive at an estimate of the true state of affairs (again, in the form of a probability distribution).

Bayesian theory has been around for a long time, but it was not until the computer revolution of the last quarter century that the necessary computational power arrived to actually calculate Bayesian models for a wide class of problems.

We offer a series of courses in Bayesian Statistics – see more here.

Subscribe to the Blog

You have Successfully Subscribed!

By submitting your information, you agree to receive email communications from statistics.com. All information submitted is subject to our privacy policy. You may opt out of receiving communications at any time.

Categories

Recent Posts

  • Making Predictions Self-Fulfilling Prophecies February 19, 2021
  • Student Spotlight – Staci Taylor February 18, 2021
  • Word of the Week:  Bias February 1, 2021

About Statistics.com

Statistics.com offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. Statistics.com is a part of Elder Research, a data science consultancy with 25 years of experience in data analytics.

Latest Blogs

  • Making Predictions Self-Fulfilling Prophecies
    February 19, 2021/
    0 Comments
  • Student Spotlight – Staci Taylor
    February 18, 2021/
    0 Comments
  • Word of the Week:  Bias
    February 1, 2021/
    0 Comments

Social Networks

Linkedin
Twitter
Facebook
Youtube

Contact

The Institute for Statistics Education
4075 Wilson Blvd, 8th Floor
Arlington, VA 22203
(571) 281-8817

ourcourses@statistics.com

© Copyright 2021 - Statistics.com, LLC | All Rights Reserved | Privacy Policy | Terms of Use

By continuing to use this website, you consent to the use of cookies in accordance with our Cookie Policy.

Accept