Open AccessProbability, clinical decision making and hypothesis testing
Author(s) -
Amitav Banerjee,
Sudhir Jadhav,
Jitendra Bhawalkar
Publication year - 2009
Publication title -
industrial psychiatry journal/industrial psychiatry journal
Language(s) - English
Resource type - Journals
eISSN - 0976-2795
pISSN - 0972-6748
DOI - 10.4103/0972-6748.57864
Subject(s) - grasp , value (mathematics) , perspective (graphical) , p value , medical decision making , statistical hypothesis testing , clinical decision making , psychology , computer science , statistics , medicine , artificial intelligence , mathematics , machine learning , intensive care medicine , medical emergency , programming language
Few clinicians grasp the true concept of probability expressed in the 'P value.' For most, a statistically significant P value is the end of the search for truth. In fact, the opposite is the case. The present paper attempts to put the P value in proper perspective by explaining different types of probabilities, their role in clinical decision making, medical research and hypothesis testing.