How Does Data Size Affect Epidemiological Studies?
Data size impacts epidemiological studies in several ways:
Statistical Power: Larger datasets increase the power to detect true associations between variables. Generalizability: Larger and more diverse datasets enhance the generalizability of the findings to broader populations. Rare Events: Large datasets are more likely to include rare events, providing more information for analysis. Subgroup Analyses: With more data, researchers can perform detailed analyses on specific subgroups within the population.
