Introduction to Bayesian statistics: a practical framework for clinical pharmacists.

ABSTRACT:

Objectives

Most pharmaceutical investigations have relied on p values to infer conclusions from their study findings. Central to this paradigm is the concept of null hypothesis significance testing. This approach is however fraught with overuse and misinterpretations. Several alternatives have already been proposed, yet uptake remains low. In this study, we aimed to discuss the pitfalls of p value-based testing and to provide readers with the basics to apply Bayesian statistics.

Methods

Jeffreys's Amazing Statistical Package (JASP) was used to evaluate the effect of a clinical pharmacy (CP) intervention (opposed to usual care) on the number of emergency department (ED) visits without hospital admission. Basic Bayesian terminology was explained and compared with classical p v

SUBMITTER: Van der Linden LR 

PROVIDER: S-EPMC8552187 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature