We derive transition probability matrices for chronic health conditions using survey prevalence data. Matrices are constructed for successive age groups and the sequence represents the “age dynamics” of the health conditions for a stationary population – the probabilities of acquiring the...

We derive transition probability matrices for chronic health conditions using survey prevalence data. Matrices are constructed for successive age groups and the sequence represents the “age dynamics” of the health conditions for a stationary population – the probabilities of acquiring the...

Background: Surveys of chronic health conditions provide information about prevalence but not about the incidence and the process of change within the population. Objective: We show how the “age dynamics” of chronic conditions ‐‐ the probabilities of contracting the conditions at...

Nonparametric smoothing under shape constraints has recently received much well-deserved attention. Powerful methods have been proposed for imposing a single shape constraint such as monotonicity and concavity on univariate functions. In this paper, we extend the monotone kernel regression...