Slide 40 Slide 41 Slide 42 Slide 43 The odds ratio here Interpretation of the odds ratio The rare disease assumption The odds ratio vs the risk ratio Odds ratios in crosssectional and cohort studies Example, wrinkle study Interpreting ORs when the outcome is common Interpreting ORs when the outcome is common For wrinkle study Sleep and hypertension study Practice95% CI (143, 616) Steps in SPSS Use Analyze Descriptive statistics Crosstabs to produce a Examples of measures of association include risk ratio (relative risk), rate ratio, odds ratio, and proportionate mortality ratio Risk ratio Definition of risk ratio A risk ratio (RR), also called relative risk, compares the risk of a health event (disease, injury, risk factor, or death) among one group with the risk among another group It does so by dividing the risk (incidence

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Odds ratio vs relative risk example
Odds ratio vs relative risk example-When RR > 1, OR > 1; This calculation a ratio of two risks is what is meant by the eponymous risk ratio (RR) statistic, also known as relative risk It allows a specific number to be given for how much more risk an individual in one category bears compared to an individual in another category In the example, an individual taking the medication bears 059 times as much risk as an adult from the



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Title Slide 1 Author Chayanit Phetcharat Last modified by Vorasith Sornsrivichai Created Date 7/3/11 AM Document presentation formatThe 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 protocol Relative risk assessment statistics are particularly suitedOdds ratio and relative risk
Both 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 Finally, the odds ratio avoids ambiguity by being invariant to ltheThe smaller the risk of the disease is in both groups, the closer the OR is to the RR ;Relative risk vs Odds ratio Similarities They will always agree on the direction of comparison In our example above, both will agree that wine consumers have less heart disease than nonconsumers;
The relative risk and the odds ratio are measures of association between exposure status and disease outcome in a population Relative risk In epidemiology, relative risk (RR) can give us insights in how much more likely an exposed group is to develop a certain disease in comparison to a nonexposed group Once we know the exposure and disease status of a research population,Mainly to distinguish it from relative risk, which is the risk for one group compared to the risk for some other group Basic statistic workshop organised by The Global Health Network Nigerian Regional Faculty 13 The risk ratio In practice, risks and odds for a single group are not nearly as interesting as a comparison of risks and odds between two groups For risk you can make theseOdds Ratio versus Relative Risk Odds ratio can be calculated in a cohort study and in a casecontrol study − The exposure odds ratio is equal to the disease odds ratio Relative risk can only be calculated in a cohort study 33 When Is Odds Ratio a Good Estimate of Relative Risk?



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The Difference Between Relative Risk And Odds Ratios The Analysis Factor
Relative measures of effect are risk ratio (ie the ratio between two incidence proportions), incidence rate ratio (the ratio between two incidence rates), and OR (the ratio between two odds) The risk difference is an absolute measure of effect (ie the risk of the outcome in exposed individuals minus the risk of the same outcome in unexposed) The riskRelative Risk and Odds Ratio The relative risk (RR) is the probability that a member of an exposed group will develop a disease relative to the probability that a member of an unexposed group will develop that same disease RR = P(diseasejexposed) P(diseasejunexposed) If an event takes place with probability p, the odds in favor of the event are p 1 p to1 p = 1 2 implies 1 odds;Keywords st0162, risk ratio, odds ratio 1 Introduction The case–control study design is typically (but not always) used when outcomes are rare in the population from which study subjects are sampled In 1951, Cornfield noted that when outcomes are sufficiently rare, the odds ratio from a case–control study will approximate the population risk ratio for the association of an exposure




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Cecile Janssens A Reminder That Odds Ratios Massively Overestimate Relative Risks When Outcome Is Common In The Population Or By Study Design E G Case Control Studies Io Is Proportion Of Cases
ODDS RATIO An odds ratio is the odds of the event in one group , for example, those exposed to a drug, divided by the odds of the event in another group not exposed Odd ratio in epidemiology In case control study since the incidence is not available so relative risk can not be calculated directly Therefore Odd ratio is obtained which is a measure of strength of association• risk and relative risk or • odds and odds ratio Risks and odds Risks and odds Risks A proportion Numerator / Denominator Odds A ratio Numerator / (Denominator Numerator) 2 Two by two table Outcome event Total Yes No Experimental group a b a b Control group c d c d Total a c b d a b c d Risk Risk is a proportion Risk of event in expt group = a = EER ab RiskRelative risk, the odds ratio is said to be significant if the confidence interval does not include 1 In this example the upper and lower limit of the 95% CI are both greater than 1 so the odds of death are said to be significantly higher in the control group and the result is reported as OR 3;




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Case Study Relative Risk and Odds Ratio John Snow's Cholera Investigations Population Information 2 Water Providers Southwark & Vauxhall (S&V) and Lambeth (L) S&V Population # Cholera Deaths 3706 L Poulation # Choleta Deaths 411 Sampling Distribution of RR & OR Goal Obtain Empirical Sampling Distributions of sample RR and OR and observeRisk ratio is similar So, for now, just get answer from SAS 95% confidence interval 086 to 304 Pvalue>05 2 Difference in proportions 2 Difference in proportionsWhat is the pvalue?




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What Is Odds Ratio Example
The odds ratio of having a DVT is 1002 and the odds ratio of not having a DVT is 1 divided by 02 or Therefore, odds ratio is often used in statistics because you can manipulate it mathematically much more easily The other common instance where odds ratio is used is for case control studies where the relative risk cannot be calculated The relative risk (or risk ratio) is an intuitive way to compare the risks for the two groups Simply divide the cumulative incidence in exposed group by the cumulative incidence in the unexposed group where CI e is the cumulative incidence in the 'exposed' group and CI u is the cumulative incidence in the 'unexposed' group The table below shows how the risk ratio wasIn our experience, equating odds ratios with relative risk has become too common, and results, even when probabilities of e vents are not small, are always interpreted as relativ e risks (Deeks




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Renin Angiotensin System Blockade After Acute Kidney Injury Aki And Risk Of Recurrent Aki American Society Of Nephrology
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