How Does Random Error Affect Epidemiological Studies?
Random error can have several impacts on epidemiological studies, including:
Reduced Precision: Random error can make the results less precise, leading to wider confidence intervals and less certainty about the findings. Type I and Type II Errors: Increased random error can heighten the risk of both false positives (Type I errors) and false negatives (Type II errors). Loss of Statistical Power: Higher random error reduces the statistical power of a study, making it more difficult to detect true associations.
