1. Power of the test: A valuable biostatistical function to validate our research work
- Author
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Sugnesh Patel, Pratibha Singh, and R. Mittal
- Subjects
education.field_of_study ,business.industry ,media_common.quotation_subject ,Population ,Orthodontics ,Sample (statistics) ,Biostatistics ,computer.software_genre ,power of test ,Outcome (game theory) ,Test (assessment) ,Power (physics) ,lcsh:RK1-715 ,Work (electrical) ,Risk analysis (engineering) ,lcsh:Dentistry ,Medicine ,Data mining ,education ,business ,Function (engineering) ,computer ,validate research work ,media_common - Abstract
Any study involving a sample from population of interest may fail to detect the real significant difference in outcome between the groups being studied. The main reason for its failure may include a poorly designed study or a study that lacked power. This article will briefly summarize the concept of "power of study" which is necessary to validate clinical research work, wherein differences in outcome rates between the groups under a study are not very large.
- Published
- 2016