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Case-Control Studies
Dr. Faiza Abou El-Soud
Prof. of Community Health Nursing,
Menuofiya University ā€“ Egypt
āž¢ To describe the design of case-control studies.
āž¢ To discuss potential biases in case-control studies
āž¢ To differentiate between cohort and case-control studies
āž¢ To analyze case-control studies
āž¢ Discuss strength and weakness od case-control studies
Case-Control Studies
Case-Control Studies
ā€¢ History of medicine has always been fascinated
in discovering the causes of the disease and the
ways in which these could be modified.
ā€¢ Investigator does not assign the exposure
ā€¢ Makes careful measurement of patterns of
exposure and disease in populations
ā€¢ Comparison group
ā€¢ Make inferences about exposure and disease
ā€¢ The observational epidemiologic study of
persons with the disease (or other outcome
variable) of interest and a suitable control
(comparison/ reference) group of persons
without the disease.
It involves two populations ā€“ cases and controls and has three
distinct features :
ā€¢ Both exposure and outcome have occurred before the start of the
study.
ā€¢ The study proceeds backwards from effect to cause.
ā€¢ It uses a control or comparison group to support or refute an
inference.
Case-Control Studies
1. Selection of cases
2. Selection of control
3. Information on exposure
4. Analysis
ā€¢ All people in source population who develop the
disease of interest
āœ“Sample of cases
āœ“Independent of the exposure under study
ā€¢ Clear definition of outcome studied
ā€¢ Prevalent . incident cases
āœ“Prevalent cases may be related more to survival with
disease than to development of disease.
ā€¢ Hospital/clinic based cases
āœ“Easier to find
āœ“May represent severe cases
ā€¢ Population based (cancer registry)
āœ“ Not biased by factors drawing a patient
to a particular hospital
ā€¢Represent the distribution of exposure in the
source population of cases
āœ“Selected from the same source population
that gives rise to the cases
ā€¢ Selected independently of their exposure
status.
Population based
Sampling of the general population
Health care facility based
Patients with other diseases
Caseā€based
Friends, Neighbourhood
Matching
Defined as :
ā€œ the process we select controls in such
a way that they are similar to cases with regard
to certain pertinent selected variable which are
known to influence the outcome of disease and
which if not adequately for comparability could
distort or confound the result ā€.
Types of Matching
Type 1
assigning cases to subcategories based on their
characteristics like age occupation, etc. and then
establishing appropriate controls.
Type 2
It is finding a control for particular case as closely
resembling as possible except for disease under
Selecting good data on exposure
1.Objectively
ā€¢ Reproducibility of exposure measurement
2. Accurately
ā€¢ Information reflecting as closely as possible the
effect of exposure
3.Precisely
ā€¢ Quality management in exposure measurement
Selecting good data on exposure
1.Objectively
ā€¢ Reproducibility of exposure measurement
2. Accurately
ā€¢ Information reflecting as closely as possible the
effect of exposure
3.Precisely
ā€¢ Quality management in exposure measurement
3. Information on exposure
ā–Personal interviews / mailed questionnaire
ā–Reviews of records
e.g., Dose of drug, radiation, type of surgery etc.
ā–Medical examination or special test
e.g.,Blood pressure, serum cholesterol
ā–Environmental survey
e.g.,Water, Air, Sanitation status etc.
4. Analysis
4. Analysis
Interpreting Odds Ratio
ā€¢ ā€¢ OR = 1
-Odds of exposure among cases and controls are same -
Exposure is not associated with disease
ā€¢ ā€¢ OR > 1
-Odds of exposure among cases are higher than controls -
Exposure is positively associated with disease
ā€¢ ā€¢ OR < 1
- Odds of exposure among cases are lower than controls -
Exposure is negatively associated with disease
Example:
Answer
Answer
Odds ratio = (100 Ɨ 7,920) ā„ ( 80 x 1,900) = 5.2
ā€¢Interpretation
ā€¢ ā€¢ OR > 1
-Odds of exposure among cases are higher than controls
-Exposure is positively associated with disease
Types of Bias in Case Control Studies
ā€¢ Bias ā€“ is a systematic error in design, conduct or analysis of
a study which an erroneous conclusion.
ā€¢ 1.Bias in selection of cases - selection bias or diagnostic
bias
ā€¢ 2.Bias in investigating controls
ā€¢ - , the controls are less likely to recall exposure
variables than the cases.
ā€¢ - that may lack depth in
controls whereas the cases are thoroughly worked up
Types of Bias in Case Control Studies
ā€¢ 3. Confounding Bias
ā€¢ Distortion of study effect with another effect because of variables
to the exposure affecting the prediction of the disease)
ā€¢ When the disease has multiple risk factors which are related to each other
ā€¢ ā€“ MATCHING BETWEEN CASES AND CONTROLS
ā€¢ 4.Bias in analysis
ā€¢ - the presence of a confounder is mostly identified at the time of analysis.
ā€¢ - It is due to non- uniform distribution of confounders.
ā€¢ ā€“ Stratification ( limit the size of study and no of confounding
factors)
Strengths in Case Control Studies
ā€¢ Good for examining rare outcomes or
outcomes with long latency,
ā€¢ Relatively quick to conduct,
ā€¢ Inexpensive.
ā€¢ Requires comparatively few subjects
ā€¢Multiple exposures or risk factors can be
examined.
Weakness in Case Control Studies
ā€¢ Susceptible to recall bias
ā€¢ Selection of an appropriate comparison
group may be difficult
ā€¢Rates of disease in exposed & unexposed
individuals cannot be determined
Case-Control Studies
Thank You

More Related Content

Case-Control Studies

  • 1. Case-Control Studies Dr. Faiza Abou El-Soud Prof. of Community Health Nursing, Menuofiya University ā€“ Egypt
  • 2. āž¢ To describe the design of case-control studies. āž¢ To discuss potential biases in case-control studies āž¢ To differentiate between cohort and case-control studies āž¢ To analyze case-control studies āž¢ Discuss strength and weakness od case-control studies
  • 5. ā€¢ History of medicine has always been fascinated in discovering the causes of the disease and the ways in which these could be modified.
  • 6. ā€¢ Investigator does not assign the exposure ā€¢ Makes careful measurement of patterns of exposure and disease in populations ā€¢ Comparison group ā€¢ Make inferences about exposure and disease
  • 7. ā€¢ The observational epidemiologic study of persons with the disease (or other outcome variable) of interest and a suitable control (comparison/ reference) group of persons without the disease.
  • 8. It involves two populations ā€“ cases and controls and has three distinct features : ā€¢ Both exposure and outcome have occurred before the start of the study. ā€¢ The study proceeds backwards from effect to cause. ā€¢ It uses a control or comparison group to support or refute an inference.
  • 10. 1. Selection of cases 2. Selection of control 3. Information on exposure 4. Analysis
  • 11. ā€¢ All people in source population who develop the disease of interest āœ“Sample of cases āœ“Independent of the exposure under study ā€¢ Clear definition of outcome studied ā€¢ Prevalent . incident cases āœ“Prevalent cases may be related more to survival with disease than to development of disease.
  • 12. ā€¢ Hospital/clinic based cases āœ“Easier to find āœ“May represent severe cases ā€¢ Population based (cancer registry) āœ“ Not biased by factors drawing a patient to a particular hospital
  • 13. ā€¢Represent the distribution of exposure in the source population of cases āœ“Selected from the same source population that gives rise to the cases ā€¢ Selected independently of their exposure status.
  • 14. Population based Sampling of the general population Health care facility based Patients with other diseases Caseā€based Friends, Neighbourhood
  • 15. Matching Defined as : ā€œ the process we select controls in such a way that they are similar to cases with regard to certain pertinent selected variable which are known to influence the outcome of disease and which if not adequately for comparability could distort or confound the result ā€.
  • 16. Types of Matching Type 1 assigning cases to subcategories based on their characteristics like age occupation, etc. and then establishing appropriate controls. Type 2 It is finding a control for particular case as closely resembling as possible except for disease under
  • 17. Selecting good data on exposure 1.Objectively ā€¢ Reproducibility of exposure measurement 2. Accurately ā€¢ Information reflecting as closely as possible the effect of exposure 3.Precisely ā€¢ Quality management in exposure measurement
  • 18. Selecting good data on exposure 1.Objectively ā€¢ Reproducibility of exposure measurement 2. Accurately ā€¢ Information reflecting as closely as possible the effect of exposure 3.Precisely ā€¢ Quality management in exposure measurement
  • 19. 3. Information on exposure ā–Personal interviews / mailed questionnaire ā–Reviews of records e.g., Dose of drug, radiation, type of surgery etc. ā–Medical examination or special test e.g.,Blood pressure, serum cholesterol ā–Environmental survey e.g.,Water, Air, Sanitation status etc.
  • 22. Interpreting Odds Ratio ā€¢ ā€¢ OR = 1 -Odds of exposure among cases and controls are same - Exposure is not associated with disease ā€¢ ā€¢ OR > 1 -Odds of exposure among cases are higher than controls - Exposure is positively associated with disease ā€¢ ā€¢ OR < 1 - Odds of exposure among cases are lower than controls - Exposure is negatively associated with disease
  • 25. Answer Odds ratio = (100 Ɨ 7,920) ā„ ( 80 x 1,900) = 5.2 ā€¢Interpretation ā€¢ ā€¢ OR > 1 -Odds of exposure among cases are higher than controls -Exposure is positively associated with disease
  • 26. Types of Bias in Case Control Studies ā€¢ Bias ā€“ is a systematic error in design, conduct or analysis of a study which an erroneous conclusion. ā€¢ 1.Bias in selection of cases - selection bias or diagnostic bias ā€¢ 2.Bias in investigating controls ā€¢ - , the controls are less likely to recall exposure variables than the cases. ā€¢ - that may lack depth in controls whereas the cases are thoroughly worked up
  • 27. Types of Bias in Case Control Studies ā€¢ 3. Confounding Bias ā€¢ Distortion of study effect with another effect because of variables to the exposure affecting the prediction of the disease) ā€¢ When the disease has multiple risk factors which are related to each other ā€¢ ā€“ MATCHING BETWEEN CASES AND CONTROLS ā€¢ 4.Bias in analysis ā€¢ - the presence of a confounder is mostly identified at the time of analysis. ā€¢ - It is due to non- uniform distribution of confounders. ā€¢ ā€“ Stratification ( limit the size of study and no of confounding factors)
  • 28. Strengths in Case Control Studies ā€¢ Good for examining rare outcomes or outcomes with long latency, ā€¢ Relatively quick to conduct, ā€¢ Inexpensive. ā€¢ Requires comparatively few subjects ā€¢Multiple exposures or risk factors can be examined.
  • 29. Weakness in Case Control Studies ā€¢ Susceptible to recall bias ā€¢ Selection of an appropriate comparison group may be difficult ā€¢Rates of disease in exposed & unexposed individuals cannot be determined