Incrementar la cantidad de recursos humanos para las actividades de investigación y desarrollo a través de la formación de investigadores en Informática en Salud e Investigación en Métodos Cuantitativos en las mejores universidades del mundo. Titulo tentativo del proyecto de tesis: Multilevel imputation methods for survey data: Can we use prior longitudinal information to improve current cross-sectional analysis? Objectives: 1) Design a multilevel imputation procedure for cross-sectional data, integrating information from current cross-sectional data and historical longitudinal data, using both data from Peru and Europe 2) Compare results from this multiple imputation procedure with results from three other multilevel multiple imputation approaches, two of them performed only with current cross-sectional data. 3) Establish which of these four imputation alternatives provides better estimates for cross-sectional analysis, in terms of avoiding real and potential biases.