SUMMARY This paper proposes an extension of generalized linear models to the analysis of longitudinal data. We introduce a class of estimating equations that give consistent estimates of the regression parameters and of their variance under mild assumptions about the time dependence

Four tasks measuring breadth of categorization in different ways were administered to 128 4-year-old children. Independent personality data were available on these children at ages 3,4, and 7 in the form of behavior ratings by independent sets of teachers using the California Child Q-Set and in the form of behavior ratings by independent sets of examiners. The four category breadth measures were standard-scored and composited to generate a domain-representative index of category breadth. This index was then correlated with the independent personality ratings available at each of the four ages. A core set of relationships, common across both age and sex, indicated that broad categorizers, relative to narrow categorizers, had difficulty in stimulus exclusion, lacked autonomous structuring, and generally behaved with few internal constraints. Boys were significantly broader in their categorization than girls, although there was appreciable overlap between the sexes. Personality correlates of breadth of categorization observed as early as 3 years of age were also observed at age 7. Results were placed in a larger theoretical context by introducing the concept of underand

Abstract. This paper proposes a temporally-consistent and spatiallyadaptive longitudinal MR brain image segmentation algorithm, referred to as CLASSIC, which aims at obtaining accurate measurements of rates of change of regional and global brain volumes from serial MR images. The algorithm

A higher order recurrent neural network architecture learns to recognize and generate languages after being "trained " on categorized exemplars. Studying these networks from the perspective of dynamical systems yields two interesting discoveries: First, a longitudinal examination

conditioning step. This conditional estimation method is conceptually simple and straightforward to implement. A key step is the derivation of asymptotic consistency and distribution results under mild conditions, using tools from functional analysis. Functional data analysis for sparse longitudinal data

sociales. These consist of a 1/25

Abstract. Evidence that individuals have dynamically consistent preferences is usually generated by studying the discount rates of the individual over different horizons, but where those rates are elicited at a single point in time. If these elicited discount rates vary by horizon the individual

Automatic consistent sulcal parcellation of longitudinal cortical surfaces is of great importance in studying morphological and functional changes of human brains. This paper proposes a novel energy-function based method for consist sulcal parcellation of longitudinal cortical surfaces

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Previous cross-sectional studies show that puberty is associated with a reduction in insulin sensitivity (S I ), but no longitudinal studies have examined this change in detail. This study is a longitudinal study in 60 children (33 male and 27 female subjects; 32 Caucasian and 28 African