Imputation is a statistical technique used to estimate and replace missing data within a dataset, ensuring that analyses remain robust and unbiased. By leveraging patterns within the available data, imputation methods can preserve the integrity of statistical analyses and improve the quality of insights derived from incomplete datasets.