%0 Journal Article
%A Verma, B L
%A Ray, S K
%A Srivastava, R N
%T A stochastic model of malaria transition rates from longitudinal data: considering the risk of "lost to follow-up".
%D 1983
%R 10.1136/jech.37.2.153
%J Journal of Epidemiology and Community Health
%P 153-156
%V 37
%N 2
%X A model, using stochastic processes, is developed to estimate some epidemiological parameters of malaria in a homogeneous population from longitudinal data. Assessments of transition probabilities from one state of health to the other are made taking "lost to follow-up" as a competing risk. The model is based on the assumptions that individuals are transferred at constant rate between states, and only one transition is possible between two consecutive surveys. It shows a good fit to the observed data; the model is simple to understand and can easily be used if computer facilities are not available.
%U https://jech.bmj.com/content/jech/37/2/153.full.pdf