Dhyuti Gupta, Prithpal Singh Matreja, Shilpa Patrick, Meenu Thomas, Pooja Agarwal, Preeti Singh
Assessment of knowledge, attitude and practice of fixed-dose combinations amongst attending physicians and residents: a cross-sectional evaluation
Drugs in context
scientific conclusion follows automatically statistically nonsignificant result yet people routinely use nonsignificant results guide conclusions status theories effectiveness practices know whether nonsignificant result counts theory indicates data insensitivity researchers must use one power intervals confidence credibility intervals else indicator relative evidence one theory another bayes factor argue bayes factors allow theory linked data way overcomes weaknesses approaches specifically bayes factors use data determine sensitivity distinguishing theories unlike power make use aspects theorys predictions often easiest specify unlike power intervals require specifying minimal interesting value order address theory bayes factors provide coherent approach determining whether nonsignificant results support null hypothesis theory whether data insensitive allow accepting rejecting null hypothesis put equal footing concrete examples provided indicate range application simple online bayes calculator reveal strengths weaknesses bayes factors