Stub: Bayesian Studies: Applying Bayesian Reasoning to Scientific Research and Analysis

by Jan Malakhovski, version 0.0.1, created , published , updated

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You have a hypothesis and you want to know the probability of it being true. "Bayesian reasoning" note explains how to do the math. But how do you design your own study to collect data in a way that accounts for common statistical phenomena? How do you assign prior probabilities? What if you want to use published scientific studies as evidence, how do you convert p-values and confidence intervals to likelihood ratios? This article explains.

Changelog

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v0.0.1 -

v0.0.0 -

Table of Contents

Introduction

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Prerequisites

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Bayesian reasoning over p-values

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