# Relative risk and odds ratio pdf

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- The Difference Between Relative Risk and Odds Ratios
- Common pitfalls in statistical analysis: Odds versus risk
- Understanding relative risk, odds ratio, and related terms: as simple as it can get.
- Common pitfalls in statistical analysis: Odds versus risk

## The Difference Between Relative Risk and Odds Ratios

In the previous section, we discussed risk and odds. Both risk and odds can be applied to a cohort study designs based on population. On the other hand, a case-control study is not based on population but designed by separate sampling procedures in the disease group and no disease group. Therefore, there is no denominator to estimate the risk in the entire population and only odds can be obtained in the case-control design. Regarding those study designs, we'll talk about definitions, applicability, difference, and interpretation of risk difference RD , risk ratio RR , and odds ratio OR as measures of effects in studies with cohort and case-control design. RD or AR is defined as the difference in risk of a condition such as a disease between an exposed group and an unexposed group Table 1. RR is the ratio between the risk of exposed group and unexposed group.

## Common pitfalls in statistical analysis: Odds versus risk

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Risk, and related measures of effect size for categorical outcomes such as relative risks and odds ratios, are frequently presented in research articles. Not all readers know how these statistics are derived and interpreted, nor are all readers aware of their strengths and limitations. This article examines several measures, including absolute risk, attributable risk, attributable risk percent, population attributable risk percent, relative risk, odds, odds ratio, and others.

Some studies use relative risks RRs to describe results; others use odds ratios ORs. Both are calculated from simple 2x2 tables. The question of which statistic to use is subtle but very important. Probability is the likelihood of an event in relation to all possible events. Relative risk is a ratio of probabilities. It compares the incidence or risk of an event among those with a specific exposure with those who were not exposed eg, myocardial infarctions in those who smoke cigarettes compared with those who do not Figure. It is only appropriate, therefore, to use RR for prospective cohort studies.

Understanding Relative Risk, Odds Ratio, and Related Terms: As Simple as It Can Get Many research papers present findings as odds ratios (ORs) and relative risks (RRs) as downloads/yes/_MODULE_pdf. Accessed June 2.

## Understanding relative risk, odds ratio, and related terms: as simple as it can get.

Well, both measure association between a binary outcome variable and a continuous or binary predictor variable. And unfortunately, the names are sometimes used interchangeably. The relative risk is also called the risk ratio. Suppose you have a school that wants to test out a new tutoring program.

### Common pitfalls in statistical analysis: Odds versus risk

In biomedical research, we are often interested in quantifying the relationship between an exposure and an outcome. In this article, which is the fourth in the series of common pitfalls in statistical analysis, we explain the meaning of risk and odds and the difference between the two. Researchers are often interested in evaluating the association between an exposure and an outcome. At first glance, though these two concepts seem similar and interchangeable, there are important differences that dictate where the use of either of these is appropriate. A randomized trial of sclerotherapy versus ligation for esophageal varices hypothetical data. In the example above, for the same data set, the chances of death appear markedly different when expressed as risks and odds. Table 2 shows the risk and odds for different event rates.

The key to epidemiologic analysis is comparison. Occasionally you might observe an incidence rate among a population that seems high and wonder whether it is actually higher than what should be expected based on, say, the incidence rates in other communities. Or, you might observe that, among a group of case-patients in an outbreak, several report having eaten at a particular restaurant. Is the restaurant just a popular one, or have more case-patients eaten there than would be expected?

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#### Background

Most users should sign in with their email address. If you originally registered with a username please use that to sign in. To purchase short term access, please sign in to your Oxford Academic account above. Don't already have an Oxford Academic account? Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide.

Metrics details. Odds ratios OR significantly overestimate associations between risk factors and common outcomes. The estimation of relative risks RR or prevalence ratios PR has represented a statistical challenge in multivariate analysis and, furthermore, some researchers do not have access to the available methods. A provisional database was designed in which events were duplicated but identified as non-events. After, a logistic regression was performed and effect measures were calculated, which were considered RR estimations.

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