2006
DOI: 10.1001/archderm.142.6.761
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The (Relative) Risks of Using Odds Ratios

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Cited by 67 publications
(59 citation statements)
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“…The RR is commonly used in medical and epidemiology studies (e.g. Katz, 2006;Shrier and Steele, 2006;Zhang and Yu, 1998). Although it does not follow a normal distribution, the natural logarithm of the sample is approximately normally distributed to produce the 95 % confidence intervals, which are calculated according to Morris and Gardner (1988) and Daly (1998).…”
Section: Preceding Spei Values and Spei0mentioning
confidence: 99%
“…The RR is commonly used in medical and epidemiology studies (e.g. Katz, 2006;Shrier and Steele, 2006;Zhang and Yu, 1998). Although it does not follow a normal distribution, the natural logarithm of the sample is approximately normally distributed to produce the 95 % confidence intervals, which are calculated according to Morris and Gardner (1988) and Daly (1998).…”
Section: Preceding Spei Values and Spei0mentioning
confidence: 99%
“…5 Health researchers often imply that having an understanding of odds is dependent on having an insight into the betting industry; 4,6 however, the analogy between health statistics and gambling is a perilous one. Odds in health are an accurate representation of frequencies in a specific setting whereas, in sports betting, the bookmakers' odds are a statement of the return on your stake; this is an indication of not only how likely something is to happen, but also how much you will win.…”
Section: Oddsmentioning
confidence: 99%
“…It tells us how much risk has increased or decreased from an initial level; most authors consider it to be readily understood. 5,8,9 The OR is calculated as the odds in the exposed group divided by the odds in the unexposed group. As many authors have recognised, the OR is more difficult to visualise.…”
Section: Comparing Outcomes In Prospective Studies Using Relative Rismentioning
confidence: 99%
“…We presented results from the models in the form of odds ratios (OR). However, there are well-known problems with meaningfully interpreting ORs in a way that is intuitive-they are frequently interpreted as riskratios, which can produce extremely inaccurate answers when the proportion of "success" (in this case, rating the PCP "high") in the sample is high [21][22][23][24][25][26]. Thus, we also calculated "marginal effects" for our main results of interest; marginal effects inform on how the predictor variable of interest impacts the probability of success-i.e.…”
Section: Methodsmentioning
confidence: 99%