摘要: The presence of missing data in a database is a phenomenon that every researcheris liable to meet during their work. Although the bias which can be generated by aninadequate treatment of non-response is known for a long time [27]... 展开 The presence of missing data in a database is a phenomenon that every researcheris liable to meet during their work. Although the bias which can be generated by aninadequate treatment of non-response is known for a long time [27], the knowledge on theeffectiveness of various methods used in the treatment of missing values is not yet fullyexplored. This study aims to apply the techniques used in the treatment of missing valuesin the calculation of the morbidity and mortality linked to Malaria in Koulikoro in Maliduring the period from April to June 2005. The main problem that missing data poses isthat it is impossible not to take missing values into consideration during the application ofa statistical analysis method. The majority of these methods had been developed to dealwith a matrix of incomplete data. In this document the statistical theories on incompletedata sets are presented and then applied on the data of Koulikoro from Malian NationalMalaria Control Program. 收起