PT - JOURNAL ARTICLE
AU - B L Verma
AU - S K Ray
AU - R N Srivastava
TI - A stochastic model of malaria transition rates from longitudinal data: considering the risk of "lost to follow-up".
AID - 10.1136/jech.37.2.153
DP - 1983 Jun 01
TA - Journal of Epidemiology and Community Health
PG - 153--156
VI - 37
IP - 2
4099 - http://jech.bmj.com/content/37/2/153.short
4100 - http://jech.bmj.com/content/37/2/153.full
SO - J Epidemiol Community Health1983 Jun 01; 37
AB - 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.