Imputation methods are statistical techniques used to handle missing data by estimating and filling in the missing values, thus enabling complete data analysis without bias or loss of information. These methods range from simple approaches like mean substitution to more complex ones like multiple imputation, each with varying assumptions and implications for data integrity and analysis accuracy.