The introduction of new models of mortality is intended to provide a representation of age/sex patterns of mortality which are closer to those underlying the mortality experience of developing countries. With the publication of new model life tables for developing countries by the UN, it is now possible to provide more reliable formulations for indirect mortality measurements. This paper provides improved regression equations for transforming survivorship of kin statistics into measures of infant, early childhood and adult mortality. After a short description of the mortality models upon which the new methods are based, the 1st section covers the treatment of estimation of mortality in infancy and childhood. The 2nd section is devoted to transformations of orphanhood data into conditional probabilities of surviviorship for adults. Finally the 3rd section provides an illustrative application of the new equations to the case of Peru (1960-1978). Emphasized throughout the paper is the quite different issue of not just selecting between appropriate mortality models but also between appropriate techniques.