Several factors contribute to the complexity of epidemiological studies:
Study Design: The choice between cohort, case-control, and cross-sectional designs can influence complexity. Sample Size: Larger sample sizes require more resources and sophisticated statistical analyses. Data Collection Methods: The use of surveys, biological samples, or electronic health records can introduce varying levels of complexity. Confounding Variables: Identifying and controlling for confounders is essential but can be challenging. Bias: Selection bias, information bias, and other forms of bias need to be addressed to ensure study validity.
