id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_3uvxsxns3fafldsj5wnfkihmh4	Jan Sprenger	Three Arguments for Absolute Outcome Measures	2017	13	.pdf	application/pdf	5809	654	66	We present three arguments in favor of absolute over relative outcome measures. causal strength, absolute measures satisfy a set of desirable properties, but relative measures do not. medical researchers, including 'relative' outcome measures and 'absolute' We conclude that medical science should more consistently use and report absolute outcome measures. For starters, relative and absolute outcome measures can appear very different when the control event rate (i.e., P(YjC)) is low. The effect of drug A was quantified with a relative outcome measure (RRR 5 34%), and the effect of drug B was quantified with an absolute outcome measure (ARR 5 1:4%). The relative outcome measure RRR 5 34% Hence, inferring effectiveness of a medical treatment on the basis of relative outcome measures is indeed prone to cognitive bias. causal strength measures for binary outcomes, see Sprenger (forthcoming). Medical science, whether in clinical trials or in epidemiology, should always use and report absolute outcome measures.	./cache/work_3uvxsxns3fafldsj5wnfkihmh4.pdf	./txt/work_3uvxsxns3fafldsj5wnfkihmh4.txt