Probability, clinical decision making and hypothesis testing
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 p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2009-01-01
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| Series: | Industrial Psychiatry Journal |
| Subjects: | |
| Online Access: | http://www.industrialpsychiatry.org/article.asp?issn=0972-6748;year=2009;volume=18;issue=1;spage=64;epage=69;aulast=Banerjee |
| Summary: | 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. |
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| ISSN: | 0972-6748 |