Monday, April 29, 2024

What Is a Case-Control Study? Definition & Examples

case control design

Identifiability is a relative notion as it depends on which data are available as well as on the assumptions one is willing to make. Identification forms a basis for estimation with finite samples from the available data distribution [4]. Once the estimand has been made explicit and an identifying functional established, estimation is a purely statistical problem. While the identifying functional will often naturally translate into a plug-in estimator, there is, however, generally more than one way to translate an identifiability result into an estimator and different estimators may have important differences in their statistical properties.

Analysis of Case-Control Studies

One of the most significant triumphs of the case–control study was the demonstration of the link between tobacco smoking and lung cancer, by Richard Doll and Bradford Hill. In the analysis stage, calculate the frequency of each of the measured variables in each of the two groups. As a measure of the strength of the association between an exposure and the outcome, case-control studies yield the odds ratio.

What is a Case-Control Study? : Neurosurgery

The nested case-control study is a special situation in which cases andcontrols are both identified from within a cohort. Each patient (case)was matched with 10 randomly selected controls based on age, sex, ethnicity, and duration offollow-up. Thus, rather than extracting data for 11,314 cases and the rest of the 1,762,164adults who did not develop PD and who were therefore noncases, the authors carved out asmaller sample of controls from within the cohort. Thus, the final sample of 11,314 casesand 113,140 controls was “nested” within the original cohort; studying this smaller sampletook less time and was less labor-intensive than studying the entire cohort. After clearly defining cases and controls, decide on data to be collected; the same data must be collected in the same way from both groups.

Similar articles in PubMed

When the subjects are enrolled in their respective groups, the outcome of each subject is already known by the investigator. This, and not the fact that the investigator usually makes use of previously collected data, is what makes case-control studies ‘retrospective’. Another important aspect of a case-control study is that we should measure the exposure similarly in cases and controls. For instance, if we design a research protocol to study the association between metabolic syndrome (exposure) and psoriasis (outcome), we should ensure that we use the same criteria (clinically and biochemically) for evaluating metabolic syndrome in cases and controls. If we use different criteria to measure the metabolic syndrome, then it may cause information bias. In a case-control study, participants are selected for the study based on their outcome status.

case control design

Beneficial for studying rare diseases

For statistical reasons, however, there is little gained by including more than two controls per case. If we use controls from the past (time period when cases did not occur), then the controls are sometimes referred to historic controls. Sometimes, definition of a disease may be based on multiple criteria; thus, all these points should be explicitly stated in case definition. We strongly encourage the readers to read the papers to understand some practical aspects of case-control studies.

Case-control study of neuropsychiatric symptoms in electronic health records following COVID-19 hospitalization in 2 ... - Nature.com

Case-control study of neuropsychiatric symptoms in electronic health records following COVID-19 hospitalization in 2 ....

Posted: Wed, 15 Jun 2022 07:00:00 GMT [source]

Because these studies use already existing data and do not require any follow-up with subjects, they tend to be quicker and cheaper than other types of research. The “cases” are the individuals with the disease or condition under study, and the “controls” are similar individuals without the disease or condition of interest. The method of assignment of individuals to study and control groups in observational studies when the investigator does not intervene to perform the assignment. Each case is matched individually with a control according to certain characteristics such as age and gender.

It is a design that should be used more frequently in neurosurgical clinical research. Observational study designs include case-control, cohort, and cross-sectional studies, and each study is distinct with a unique role in clinical research. Case-control studies can be a robust option in neurosurgical research compared to other observational study designs. A better understanding of the differences in design type will facilitate better study designs and further improve the quality of reporting. In our review, we explored those differences and how the case-control study design can contribute to the neurosurgical literature. While both case-control and cohort studies are longitudinal by design, cross-sectional studies, often mislabeled as case-control studies, reflect a single period in time (Figure 1).

The study involved comparing a group of former lifeguards that had developed cancer on their cheeks and noses (cases) to a group of lifeguards without this type of cancer (controls) and assess their prior exposure to zinc oxide or absorbent sunscreen lotions. Matching is often used in case-control control studies to ensure that the cases and controls are similar in certain characteristics. For example, in the smoking and lung cancer study, the authors selected controls that were similar in age and sex to carcinoma cases. These controls can be easily conducted the list of all individuals is available. For example, list from state identity cards, voter's registration list, etc., In the Tanning and melanoma study, the researchers used population controls. These controls are easy to recruit and they are also more likely to be similar to the cases in socio-economic status and other demographic factors.

However, they are also more likely to have similar behaviours (alcohol use, smoking etc.); thus, it may not be prudent to use these as controls if we want to study the effect of these exposures on the outcome. An important source of controls is patients attending the hospital for diseases other than the outcome of interest. These controls are easy to recruit and are more likely to have similar quality of medical records. According to them, an important aspect of selecting a control is that they should be from the same ‘study base’ as that of the cases. Thus, the pool of population from which the cases and controls will be enrolled should be same. For instance, in the Tanning and Melanoma study, the researchers recruited cases from Minnesota Cancer Surveillance System; however, it was also required that these cases should either have a State identity card or Driver's license.

Formal statements and proofs are given in Supplementary Appendix C, which also includes a generalisation of the results of Table 2 to exact 1-to-M matching. While the focus in this section is on exact covariate matching, for partial matching we refer the reader to Supplementary Appendix D, where we consider parametric identification by way of conditional logistic regression. In this paper, we give an overview of how observational data obtained with case-control designs can be used to identify a number of causal estimands and, in doing so, recast historical case-control concepts, assumptions and principles in a modern and formal framework. Participants might be unable to remember when they were exposed or omit other details that are important for the study.

Odds ratios are often confused with Relative Risk (RR), which is a measure of the probability of the disease or outcome in the exposed vs unexposed groups. For very rare conditions, the OR and RR may be very similar, but they are measuring different aspects of the association between outcome and exposure. The OR is used in case-control studies because RR cannot be estimated; whereas in randomized clinical trials, a direct measurement of the development of events in the exposed and unexposed groups can be seen.

There are not necessarily any ‘right’ answers to these questions but they must be answered before the study begins. At the end of the study, the conclusions will be valid only for patients who have the same sort of ‘endophthalmitis’ as in the case definition. They found that melanoma was higher in individuals who used UVB enhances and primarily UVA-emitting devices.

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