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Lecture 21: Non-experimental intervention studies (cont)

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Presentation on theme: "Lecture 21: Non-experimental intervention studies (cont)"— Presentation transcript:

1 Lecture 21: Non-experimental intervention studies (cont)
Describe the following sources of bias in the evaluation of screening programs: - Length-biased sampling - Lead time bias Compare experimental vs non-experimental intervention study designs, taking into account the following considerations: - Ethical issues - Feasibility and practicality - Validity (internal and external), precision, and efficiency

2 Evaluation of screening Example: evaluation of the effectiveness of breast cancer screening (HIP study) 1st RCT of breast cancer screening Study population: Members of HMO Intervention: Invitation to receive annual mammography and clinical exam (3 years) Possible outcomes: survival rate (1 year, 5 year) case-fatality rate mortality rate Which would you use?

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4 Bias in RCTs of screening
Definition of time zero? Date of first symptoms? Date of detection? Date of diagnosis? Bias if difference in “time zero”between study groups: screening/early detection intervention shifts time zero intervention appears to lengthen time to outcome without real change in prognosis “lead time” bias “length” bias

5 Other types of bias in studies of interventions
Hawthorne effect: Non-specific effect of being in a study Prevention? Contamination bias: Control group receives some component(s) of intervention Confounding variables Variables associated with intervention group and outcome, not in causal chain

6 Internal vs external validity
Internal validity Lack of bias in study External validity Generalizability Representativeness of study sample

7 Selection of study design for evaluation of interventions
Observational study design Cohort Case-control Quasi-experimental study design Non-equivalent control group Time-series: single or multiple (controlled) Experimental RCT

8 Considerations in selection of a study design
Cost Feasibility Ethical issues Internal validity External validity Credibility


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