Commentary: Trade-offs in the development of a sample design for case-control studies

Area of Science:

• Epidemiology
• Biostatistics
• Public Health Research

Background:

• Case-control studies frequently utilize population-based controls.
• Two primary sampling methodologies for control selection are random digit dialing (RDD) and area probability sampling.
• The choice of sampling method has significant implications for study design and analysis.

Purpose of the Study:

• To provide a detailed commentary on issues surrounding RDD and area probability sampling for selecting population-based controls.
• To illustrate how sample design choices can influence data analysis outcomes.
• To guide researchers in making informed sample design decisions for case-control studies.

Main Methods:

• Discussion and analysis of data presented in the article "Comparison of Telephone Sampling and Area Sampling: Response Rates and Within-Household Coverage".
• Evaluation of relative costs, variance, and bias associated with RDD and area probability sampling.
• Consideration of sample coverage issues, including list-assisted RDD and its advantages.

Main Results:

• The selection of a sample design critically impacts the feasibility and outcomes of statistical analyses.
• List-assisted RDD offers specific advantages in terms of sample coverage and efficiency.
• Concurrent screening and sampling with RDD presents an alternative to fixed sample size selection.

Conclusions:

• Researchers must integrate analysis plans into the sample design process for effective case-control studies.
• Understanding the nuances of RDD and area probability sampling is crucial for minimizing bias and maximizing efficiency.
• Informed sample design choices enhance the validity and generalizability of epidemiological research findings.