You may have noticed that the odds ratio and relative risk are very similar in this case This happens when the proportions being compared are both close to 0 Which one you decide to use is a matter of personal preference and perhaps your audienceFor more common outcomes, the odds ratio always overstates the relative risk, sometimes dramaticallyWhen the outcome of interest is relatively rare (<10%), then the odds ratio and relative risk will be very close in magnitude In such a case, investigators often interpret the odds ratio as if it were a relative risk (ie, as a comparison of risks rather than a comparison of odds which is less intuitive)
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Odds ratio versus relative risk
Odds ratio versus relative risk-Pute either the odds ratio or the relative risk to answer this question The odds ratio compares the relative odds of death in each group For women, the odds were exactly 2 to 1 against dying (154/308 05) For men, the odds were almost 5 to 1 in favor of death (709/142 4993) The odds ratio is 9986 (4993/05) There is a 10fold greaterRELATIVE RISK AND ODDS RATIO Risk and Odds just seemed the same to me for a long time Since then, I have come to understand to important difference Lets start with Relative Risk Relative Risk can be addressed by asking the following question How many times more likely is an exposed group to develop a
Relative Risk Wikipedia
The odds ratio (OR) is the ratio of the odds of cancer in smokers to the odds of cancer in nonsmokers OR = (a/b)/ (c/d) = (ad)/ (bc) The risk ratio (RR), also called the relative risk, is the ratio of the probability of cancer in smokers to the probability of cancer in nonsmokers Given that you know a, b, c, and d, you can compute either ofThe simple relative risk is 055 and the simple odds ratio is 025Clearly the probability of fathering a child is strongly dependent on a variety of demographic variables, especially age (the issue of marital status was dealt with by a separate analysis) The control group was 84 years older on average (435 years versus 351), showing the need to adjust for this variableBoth the odds ratio and the relative risk compare the relative likelihood of an event occurring between two groups The relative risk is easier to interpret and is consistent with general intuition Some designs, however, allow only for the calculation of the odds ration Covariate adjustment is easier for an odds ratio
An Odds Ratio (OR) then is simply the comparison of two odds, OR=Odds (A)/Odds (B) The Relative Risk (RR) is simply the comparison of two risks or probabilities, RR=Probability (A)/Probability (B) This is made more clear when the term is referred to as the Risk Ratio Let's look at this graphicallyOdds ratios (OR) are commonly reported in the medical literature as the measure of association between exposure and outcome However, it is relative risk that people more intuitively understand as a measure of association Relative risk can be directly determined in a cohort study by calculating a risk ratio (RR)When the disease is rare, the odds ratio will be a very good approximation of the relative risk The more common the disease, the larger is the gap between odds ratio and relative risk In our example above, p wine and p no_wine were 0009 and 0012 respectively, so the odds ratio was a good approximation of the relative risk OR = 0752 and RR = 075
Odds ratio and relative riskOdds ratio versus relative risk Since it is a ratio of ratios, the odds ratio is very difficult to interpret The relative risk is easier to interpret, so the odds ratio alone is not very helpful However, there are certain commonly occurring situations in which the estimate of the relative risk is not very good and the odds ratio can be usedA crude odds ratio can be converted to a crude risk ratio risk ratio = odds ratio/(1 − p0) (p0 ×
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Odds ratio (OR) and risk ratio (RR) are two commonly used measures of association reported in research studies In crosssectional studies, the odds ratio is also referred to as the prevalence odds ratio (POR) when prevalent cases are included, and, instead of the RR, the prevalence ratio (PR) is calculatedThe odds ratio supports clinical decisions by providing information on the odds of a particular outcome relative to the odds of another outcome In the endocarditis example, the risk (or odds) of dying if treated with the new drug is relative to the risk (odds) of dying if treated with the standard treatment antibiotic protocol1 we can calculate relative risk IF we can estimate probabilities of an outcome in EACH group 2 we can't do that in case control studies 3 we can calculate the odds ratio even if we don't know the probabilities in the groups It would then be nice, if odds ratio was close to relative risk
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Even with initial risks as high as 50% and very large reductions in this risk (odds ratios of about 01), the odds ratio is only 50% smaller than the relative risk (01 for the odds ratio compared with a true value for the relative risk of 02)This is compared to the relative risk which is (a / (ab)) / (c / (cd)) If the disease condition (event) is rare, then the odds ratio and relative risk may be comparable, but the odds ratio will overestimate the risk if the disease is more commonIn practice the odds ratio is commonly used for casecontrol studies, as the relative risk cannot be estimated In fact, the odds ratio has much more common use in statistics, since logistic regression, often associated with clinical trials, works with the log of the odds ratio, not relative risk
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Odds ratio = (A*D) / (B*C) The relative risk tells us the ratio of the probability of an event occurring in a treatment group to the probability of an event occurring in a control group It is calculated as Relative risk = A/ (AB) / C/ (CD) In short, here's the difference An odds ratio is a ratio of two oddsRelative risk, Risk difference and Odds ratio When the data to be analyzed consist of counts in a crossclassification of two groups (or conditions) and two outcomes, the data can be represented in a fourfold table as follows Several statistics can be calculated such as relative risk and risk difference, relevant in prospective studies, andOdds Ratio (OR) is a ratio or proportion of odds I just remember that odds ratio is a ratio of odds and probability isn't a ratio of odds (AKA it is the other option) Relative Risk = Probability / Probability Odds Ratio = Odds / Odds Now that you have a general idea of what odds ratio and relative risk are you need to know when to use
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The odds ratio will be greater than the relative risk if the relative risk is greater than one and less than the relative risk otherwise In the example above, if the adjusted odds ratio were interpreted as a relative risk, it would suggest that the risk of antibiotic associated diarrhoea is reduced by 75% for the intervention relative to the placebo groupIf the risk ratio is 1 (or close to 1), it suggests no difference or little difference in risk (incidence in each group is the same) A risk ratio >The relative risk is the ratio of the risk in the exposed group to the risk in the unexposed group, as is summarized in Box 1 Depending on the study design and statistical method applied, the relative risk can be presented using different measures of effect, such as the incidence rate ratio and hazard ratio
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Odds ratio (OR) is a statistic commonly encountered in professional or scientific medical literature Most readers perceive it as relative risk (RR), although most of them do not know why thatSometimes, we see the log odds ratio instead of the odds ratio The log OR comparing women to men is log(144) = 036 The log OR comparing men to women is log(069) = 036 log OR >Odds Ratio versus Relative Risk Since it is a ratio of ratios, the odds ratio is very difficult to interpret The relative risk is easier to interpret, so the odds ratio alone is not very helpful However, there are certain commonly occurring situations in which the estimate of the relative risk is not very good, and the odds ratio can be used
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0 increased risk log OR = 0 no difference in risk log OR <Yes and no The risk ratio is collapsible, so adjusting for any variable that is not associated with either the exposure or outcome should not change the magnitude of the risk ratio In addition, the summary risk ratio across strata should be between the values of the stratumspecific risk ratios (something that does not hold with the odds ratio)The Relative Risk Ratio and Odds Ratio are both used to measure the medical effect of a treatment or variable to which people are exposed The effect could be beneficial (from a therapy) or harmful (from a hazard) Risk is the number of those having the outcome of interest (death, infection, illness, etc) divided by the total number exposed to
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Unless I'm mistaken, the equation explained above does not properly describe Odds Ratio, it describes Relative Risk Odds Ratio is the odds that the diseased group was exposed, divided by odds that the nondiseased group was exposed (a/c)/(b/d) in the classic table Relative Risk is the risk of developing disease in the exposed/interventionThe basic difference is that the odds ratio is a ratio of two odds (yep, it's that obvious) whereas the relative risk is a ratio of two probabilities (The relative risk is also called the risk ratio) Let's look at an example Relative Risk/Risk Ratio Suppose you have a school that wants to test out a new tutoring program1 suggests an increased risk of that outcome in the exposed group A risk ratio <
Relative Risk And Odds Ratio
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A nonmemorization method of dealing with RR and OR*USMLE is a registered trademark of its respective holder I am in no way affiliated with itDisclaimerRelative risk and odds ratio An RR (or OR) more than 10 indicates an increase in risk (or odds ) among the exposed compared to the unexposed, whereas a RR (or OR) <10 indicates a decrease in risk (or odds ) in the exposed group1 suggests a reduced risk in
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A risk ratio of 10 indicates identical risk among the two groups A risk ratio greater than 10 indicates an increased risk for the group in the numerator, usually the exposed group A risk ratio less than 10 indicates a decreased risk for the exposed group, indicating that perhaps exposure actually protects against disease occurrenceA value lower than 100 indicates decreased risk The 95% confidence intervals and statisticalRelative Risk Risk is based on proportion of persons with disease = cumulative incidence Risk ratio = ratio of 2 cumulative incidence estimates = relative risk Since all of the measures are ratios, either of probabilities or of odds, it is clearer and simpler to use the word ratio in describing each type
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Risk ratios, odds ratios, and hazard ratios are three ubiquitous statistical measures in clinical research, yet are often misused or misunderstood in their interpretation of a study's results 1 A 01 paper looking at the use of odds ratios in obstetrics and gynecology research reported 26% of studies (N = 151) misinterpreted odds ratios as risk ratios 2, while aOdds ratio vs risk ratio You know the difference between risk and odds A risk is the proportion of subjects with an event in a total group of susceptible subjects Thus, we can calculate the risk of having a heart attack among smokers (infarcted smokers divided by the total number of smokers) and among nonsmokers (the same, but with nonThe relative risk (also known as risk ratio RR) is the ratio of risk of an event in one group (eg, exposed group) versus the risk of the event in the other group (eg, nonexposed group) The odds ratio (OR) is the ratio of odds of an event in one group versus the
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Odds ratio), in which p0 is the outcome prevalence (risk) among the unexposed Some have applied this formula to an adjusted odds ratio to obtain an adjusted risk ratio 49 This method can produce biased risk ratios and incorrect confidenceThe ratio of these is the risk ratio, a relative measure of association Risk Ratio = CI e /CI u = 090/058 = 155 Interpretation Smokers had 155 times the risk of respiratory disease compared to nonsmokers over an 18 year period of observation Using the same cumulative incidences we can calculate the risk difference, an absolute measureRelative Risk and Odds Ratio for the obese 3) Overall, you can see that decreasing the baseline incidence will decrease the odds ratio (300 in those who are nonobese versus 129 in those who are obese) Obviously, these results run counter to expected results, putting the onus on the researcher to justify them Similarly, you should find that increasing the incidence will increase
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63 Risk, Relative Risk and Odds In this section, we will introduce some other measures we can find using a contingency table One of the most straightforward measures to find is the risk of any given event The probability that an event will occur In simple terms, a risk for a group is the same as the proportion of success for a0 decreased risk Odds Ratio 0 5 10 15 More on the Odds Ratio Log Odds Ratio4 2 0 2 4In a control group The odds ratio (OR) is the odds of an event in an experimental group relative to that in a control group An RR or OR of 100 indicates that the risk is comparable in the two groups A value greater than 100 indicates increased risk;
6 7 8 9 10 11 12 13 14 15 16 17 18 19 21 22 23 24 25 26 27 28 29 30 Review Incidence And Prevalence Are Formally Defined On Slide 7 Birth And Death Rates Are Also Estimates Of Absolute Risk Risk Factors Are Identified By Determining
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Subsequently, the term relative risk commonly refers to either the risk ratio or the odds ratio However, only under certain conditions does the odds ratio approximate the risk ratio Figure 1 shows that when the incidence of an outcome of interest in the study population is low (<10%), the odds ratio is close to the risk ratio However, the
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