incomplete or inconsistent information

What Strategies Can Be Used to Address These Issues?

Epidemiologists can employ several strategies to mitigate the impact of incomplete or inconsistent information:
Data Imputation: Using statistical methods to estimate and fill in missing values.
Sensitivity Analysis: Assessing how sensitive the results are to changes in the assumptions about missing data.
Validation Studies: Conducting additional studies to verify the accuracy and completeness of the data.
Standardization: Implementing standardized data collection protocols to reduce inconsistencies.

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