Everand Logo

Welcome to Everand!

  • Discover millions of ebooks, audiobooks, and so much more with a free trial

    From $11.99/month after trial. Cancel anytime.

    Bayesian Methodology: an Overview With The Help Of R Software
    Bayesian Methodology: an Overview With The Help Of R Software
    Bayesian Methodology: an Overview With The Help Of R Software
    Ebook82 pages43 minutes

    Bayesian Methodology: an Overview With The Help Of R Software

    By Editor IJSMI

    ()

    Read preview

    About this ebook

    Bayesian methodology differs from traditional statistical methodology which involves frequentist approach. Bayesian methodology was introduced by Thomas Bayes (Statistician and minister at the Presbyterian Chapel) during the 18th Century. Bayesian methodology is now widely being used due to its simple, straightforward and interpretable characteristics of probability values and the efficiency of modern day computer systems.

    Bayesian methodology is now being used in the field of clinical research, clinical trials, epidemiology, econometrics, statistical process control, marketing research and statistical mechanics. It also used in the emerging field such as data science (machine learning and deep learning) and big data analytics.

    The book provides an overview of Bayesian methodology, its uses in different fields with the help of R statistical open source software.

    It is recommended to refer author's book on Application of Statistical Tools in Biomedical Domain: An Overview with Help of Software and Essentials of Bio-Statistics: An overview with the help of Software if you need to familiarize yourself with the basic statistical knowledge.

    LanguageEnglish
    PublisherIJSMI
    Release dateNov 13, 2021
    ISBN9798201786465
    Bayesian Methodology: an Overview With The Help Of R Software
    Author

    Editor IJSMI

    Editor, International Journal of Statistics and Medical Informatics www.ijsmi.com/book.php editorijsmi@gmail.com

    Read more from Editor Ijsmi

    Related to Bayesian Methodology

    Related ebooks

    Teaching Methods & Materials For You

    View More
    View More

    Related podcast episodes

    Related articles

    • UNLIMITED

      Math After COVID-19

      Apr 28, 2020

      Math After COVID-19
      4 min read

    • UNLIMITED

      Kolmogorov Complexity and Our Search for Meaning

      Aug 2, 2018

      Was it a chance encounter when you met that special someone or was there some deeper reason for it? What about that strange dream last night—was that just the random ramblings of the synapses of your brain or did it reveal something deep about your u

      8 min read

    • UNLIMITED

      Why I Hate Monte Carlo Analysis and Other Financial Projections

      Aug 14, 2019

      I'm not a fan of financial plans that use straight-line projections or Monte Carlo risk analysis to support investment proposals. Here's why: They can lull people into a false sense of security or lead them to believe that the stock market is the ans

      5 min read

    • UNLIMITED

      Think Like a Researcher

      Nov 26, 2021

      When I was asked to start writing this column in 2015, I had just started as an assistant professor at The College of Idaho after moving from the Bay Area. I had just injured myself and was struggling to regain the peak running form I achieved a few

      6 min read

    • UNLIMITED

      Opinion: Real-world Evidence Is Changing The Way We Study Drug Safety And Effectiveness

      Jan 29, 2019

      Instead of waiting for fleshed-out protocols for using real-world evidence, pharmaceutical companies should dive in now using a commonsense approach that relies on rigor and reason.

      4 min read

    • UNLIMITED

      Opinion: All Study Participants Have A Right To Know Their Own Results. My Lab Has Been Doing That For Years

      Sep 5, 2018

      Giving study participants their individual results can drive greater public participation in research, increased support for science, and better health.

      6 min read

    • UNLIMITED

      App Could Offer Daily Seizure Forecast

      Aug 2, 2017

      Researchers have outlined a new framework that may pave the way for a smartphone app that could predict seizures in advance. Every morning, you wake up and check the weather app on your smartphone to see if it will rain. If the forecast probability i

      2 min read

    • UNLIMITED

      The Meaning Of “Statistically Significant”

      Nov 14, 2024

      The term “statistically significant” tells us that the result of a study is not just due to chance. If researchers aim to test a drug, they typically test it on a group of people and compare it to a similar control group that receives a placebo ‘drug

      1 min read

    • UNLIMITED

      Why Data Matters For Tracking Biodiversity Changes

      Oct 3, 2018

      New research highlights the importance of trait variability within species in measuring biodiversity changes and how ecologists can incorporate that data into their assessments. Around the world, ecologists are studying how species are responding to

      2 min read

    • UNLIMITED

      Opinion: Fixing Health Care’s Replication Crisis Is Important For Researchers And Patients

      Jul 16, 2019

      We are awash in reports of new study results, from a potential cure for an illness or the latest take on what makes a healthy diet. But are we getting…

      4 min read

    • UNLIMITED

      Common Brain Tumor Is Genetically Alike In Dogs And People

      Feb 22, 2024

      The most common type of brain tumor in humans and dogs—called meningiomas—are extremely similar genetically, a new study finds. These newly discovered similarities will allow doctors to use a classification system that identifies aggressive tumors in

      2 min read

    • UNLIMITED

      Opinion: Synthetic Control Arms Can Save Time And Money In Clinical Trials

      Feb 5, 2019

      Synthetic control arms aren't the solution to all of the challenges facing randomized trials, but they represent a great way for drug development companies to start using real-world evidence.

      4 min read

    • UNLIMITED

      Meta-analysis Lets Scientists Answer New Questions

      Mar 13, 2018

      How can researchers determine the best path forward when so many studies are coming out, each with new information? A new paper reveals that the power of meta-analysis in research synthesis over the past 40 years has transformed scientific thinking a

      2 min read

    • UNLIMITED

      To Fight Disease Outbreaks, Ask ‘What Don’t We Know?’

      May 17, 2017

      A new approach to information-gathering, born of the 2014 Ebola outbreak, could save lives. “When a disease outbreak happens, there is a lot of information that you just don’t know: who will get sick, how will the disease spread, what will make thing

      2 min read

    Related categories

    Reviews for Bayesian Methodology

    0 ratings

    0 ratings0 reviews

    What did you think?

    Tap to rate

    Review must be at least 10 words

      Book preview

      Bayesian Methodology - Editor IJSMI

      Bayesian Methodology: An overview with the help of R software

      Title: Bayesian Methodology: An overview with the help of R software

      Author: Editor IJSMI

      Bayesian Methodology: An overview with the help of R software

      Preface

      Bayesian methodology differs from traditional statistical methodology which involves frequentist approach. Bayesian methodology was introduced by Thomas Bayes (Statistician and minister at the Presbyterian Chapel) during the 18th Century. Bayesian methodology is now widely being used due to its simple, straightforward and interpretable characteristics of probability values and the efficiency of modern day computer systems.

      Bayesian methodology is now being used in the field of clinical research, clinical trials, epidemiology, econometrics, statistical process control, marketing research and statistical mechanics. It also used in the emerging field such as data science (machine learning and deep learning) and big data analytics.

      The book provides an overview of Bayesian methodology, its uses in different fields with the help of R statistical open source software.

      It is recommended to refer author’s book on Application of Statistical Tools in Biomedical Domain: An Overview with Help of Software and Essentials of Bio-Statistics: An overview with the help of Software if you need to familiarize yourself with the basic statistical knowledge.

      Editor

      International Journal of Statistics and Medical Informatics

      Contents

      Chapter 1 – Introduction to Statistical concepts

      Chapter 2 – Introduction to R Statistical Software

      Chapter 3 – Introduction to Bayesian Methodology

      Chapter 4 – Bayesian concepts - types of priors and Markov Chain and Monte Carlo method

      Chapter 5 – Bayesian inference - Binomial test

      Chapter 6 – Bayesian inference - Poisson test

      Chapter 7 – Bayesian inference – Student’s t test

      Chapter 8 – Bayesian inference – Correlation Test

      Chapter 9 – Bayesian Regression

      Bayesian Linear Regression

      Bayesian Logistic Regression

      Bayesian probit Regression

      Bayesian Quantile Regression

      Chapter 10 – Bayesian Survival Analysis

      Chapter 11 – Bayesian methodology in Machine Learning

      Bayesian – Machine learning  - Classification Models (supervised learning)

      Bayesian – Machine learning - Topic Modeling (unsupervised learning)

      Chapter 12 – Bayesian network

      Chapter 1 – Introduction to Statistical concepts

      This chapter starts with some basic statistical concepts which are necessary to understand Bayesian methodology. Readers are encouraged to refer to the Author’s Book Essentials of Biostatistics – An Overview with the help of software for further details.

      Variable

      A variable is defined as the quantity whose value changes. For example, age can be defined as the variable whose values change from 0 to 100 or gender can be defined as variable whose value changes between Male and Female.

      Population:

      Population is defined as the aggregate of elements or cases which share some common features or variables. Examples for a population can be defined as population of cancer patients and population of males.

      Sample:

      Sample is a subset of a given population.

      Distribution

      Distribution represents the entire spread of the given variable. For example, age distribution of cancer patients shows the entire spread of age of the cancer patients.

      Mean

      Mean of a variable is defined as a measure of central tendency which measures the center of the distribution of the particular variable. Here mean age of

      Enjoying the preview?
      Page 1 of 1
      pFad - Phonifier reborn

      Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

      Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


      Alternative Proxies:

      Alternative Proxy

      pFad Proxy

      pFad v3 Proxy

      pFad v4 Proxy