Xxxii jornadas argentinas de paleontología de vertebrados vii jornadas tecnicas de paleontologia de vertebrados

42 application of the multiple imputation method to recover lost data. The most common approaches to deal with missing data have different consequences on the dataset and hence on the results of the analysis. "Casewise/variable deletion" consists on removing the specimens or variables that have missing values. In “Mean value imputation” missing values are replaced by their column average, resulting in a reduction of variation and an artificial increase in the power of tests. In the method of “Iterative imputation”, missing values are initially replaced by their column average. An initial PCA run is then used to compute regression values for the missing data. The procedure is iterated until convergence. The results obtained suggest this method provides a better resolution for the identification of isolated teeth.