# Using relative risk in a case-control study

The results suggest that the elderly who are vaccinated have a reduced risk of hospitalization for pneumonia or influenza. I will demonstrate the methodology using a case-control dataset. Real-life Example Ramchand, R. Comparisons of skin damage were then made based on the use of sunscreen.

Population Attributable Fraction PAF in a Case-Control Study Finally, since it is possible to estimate the attributable proportion in the exposed in a case-control study, it is also possible to compute the population attributable proportion in an analogous way to the computation in cohort type studies, i.

They showed a statistically significant association in a large case—control study. The results may be confounded by other factors, to the extent of giving the opposite answer to better studies.

Will those differences cloud the study outcomes? However, because the difference between the cases and the controls will be smaller, this results in a lower power to detect an exposure effect. Using the theory of sufficient component cause model, the author shows that when there is no mechanistic interaction no synergism in the sufficient cause sense between the exposure under study and the stratifying variable, the ERR index but not the ratio-type indices in a rare-disease case-control setting should remain constant across strata and can therefore be regarded as a common effect parameter.

Since the OR is an estimate of RR, then by analogy the attributable proportion among the exposed can be estimated in a case-control study from the formula: The results showed that patients cared for by hospitalists had shorter hospital stays and lower costs than those cared for by general internists or family physicians.

RER is a comparative effect measure specifically designed to compare the effects of two different exposures or treatments. Outcomes of care by hospitalists, general internists, and family physicians. The odds are defined as the probability that the event will occur divided by the probability that the event will not occur.

Numbers of cases and controls do not have to be equal. The case-control design is very efficient. The risk difference in this study is 0. During a weekend tournament, players from one team wore waterproof, SPF 35 sunscreen, while players from the other team did not wear any sunscreen.

The excess relative risk ERR used primarily by radiation epidemiologists is of peculiar interest here, in that it involves both difference and ratio operations. To study effects of hospitalists, general internists, and family physicians on patient care, patients that were hospitalized with certain conditions under the care of hospitalists, general internists, and family physicians were separated into three cohorts.

If the horse runs races and wins 5 and loses the other 95 times, the probability of winning is 0. The case—control study design is often used in the study of rare diseases or as a preliminary study where little is known about the association between the risk factor and disease of interest.

The probability that an event will occur is the fraction of times you expect to see that event in many trials. A cohort study is conducted to investigate whether there is an association between alcohol consumption and esophageal cancer.

Was the author correct in saying that the "odds" of a double-dip recession may have reached 50 percent? If the probability of an event is 0. This study uses data collected from high school students from Baltimore, Maryland, and studies the differences in initiation of tobacco use between a cohort of adolescents that started working for pay and a cohort of adolescents that did not work.

The effect of working for pay on adolescent tobacco use. The analysis showed a significant difference between the cohorts in terms of the skin damage. What the economist had actually said was, "Whether we reach the technical definition [of a double-dip recession] I think is probably close to As a bonus, I will show that by exploiting this homogeneity property, the related attributable fraction indices can be estimated with greater precision.

Increasing the number of controls above the number of cases, up to a ratio of about 4 to 1, may be a cost-effective way to improve the study. The ERR index but not the difference-type indices is estimable in case-control studies. The Difference Between "Probability" and "Odds"?

It was later shown by Miettinen in that this assumption is not necessary and that the odds ratio of exposure can be used to directly estimate the incidence rate ratio of exposure without the need for the rare disease assumption.

Using the theory of sufficient component cause model [ 9 — 11 ], I will show that when there is no mechanistic interaction no synergism in the sufficient cause sense between the exposure under study and the stratifying variable, the ERR index in a rare-disease case-control study should remain constant across strata and can therefore be regarded as a common effect parameter.In contrast, in a case-control study one can only calculate the odds ratio, i.e.

an estimate of relative effect size, because one cannot calculate incidence. Consider once again the table that we used above to illustrate calculation of the odds ratio. A case–control study (also known as case–referent study) is a type of observational study in which two existing groups differing in outcome are identified and compared on the basis of some supposed causal attribute.

The relative risk (RR) and the odds ratio (OR) are the two most widely used measures of association in epidemiology. The direct computation of relative risks is feasible if meaningful prevalences.

In a case control study you do not do that, you ascertain a number of cases in some way (usually not on the basis of a formal sampling strategy) and then find some controls who are similar to the cases (for some meaning of similar) except in their disease status.

From the parmacoepi point of view, the best risk estimator is the relative risk (RR, event rate in exposed/event rate in non-exposed). This cannot be measured in case-controls studies, because the. Apr 28,  · Recall that the case-control odds in a case-control study are a constant multiple (the reciprocal of the control sampling fraction of the case-control study, f) of the corresponding disease odds (and disease risks for a rare disease) in the population.

Using relative risk in a case-control study
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