Sample interview questions: How do you address potential biases or confounding factors when interpreting research findings?
Sample answer:
Addressing Potential Biases and Confounding Factors
1. Identify Potential Biases:
- Selection bias: Differences in recruitment or retention between study groups.
- Confounding variables: Factors that influence both exposure and outcome.
- Information bias: Inaccurate or missing data.
- Publication bias: Suppression of negative or null findings.
2. Design and Data Collection Strategies:
- Randomization: Random assignment to study groups to minimize selection bias.
- Matched-cohort or propensity score matching: Control for confounding variables by matching participants based on characteristics.
- Blind data collection and analysis: Reduce information bias by masking researchers to group assignment.
- Meta-analyses and systematic reviews: Combine multiple studies to mitigate publication bias.
3. Statistical Analysis:
- Covariate adjustment: Statistically adjust for confounding variables in regression models.
- Sensitivity analyses: Test the robustne… Read full answer
Source: https://hireabo.com/job/2_3_39/Health%20Services%20Researcher