Functional defecation disorder as a clinical subgroup of chronic constipation: analysis of symptoms and physiological parameters.

Objective: Patients with functional constipation can be classified according to symptoms and physiological parameters as either having a disorder of defecation or having normal defecation. It is hypothesized that the disordered defecation, where it exists, is a causative factor of the constipation. However, the utility of this classification has yet to be proven in terms of predicting response to therapy.

Correlation models for monitoring child growth.

Growth measurements of children, such as weight and height, are monitored regularly, particularly in infancy, to assess whether or not a child's growth is normal when compared with a reference population of the same age and sex. Here, after a suitable power transformation to normality of the reference population, we model temporal evolution of the standardized deviation (Z-score) of the transformed measurement of a normal child from the reference population as a Gaussian process with zero mean and unit variance. This paper concentrates on modelling and fitting the serial correlation structure of the process, with the benefit that monitoring growth at specific ages is not crucial, statistically.