We propose Bayesian inference in hazard regression models where the baseline hazard is unknown, covariate e¤ects are possibly agevarying (non-proportional), and there is multiplicative frailty with arbitrary distribution. Our framework incorporates a wide variety of order restrictions on covariate dependence and duration dependence (ageing). We propose estimation and evaluation of age-varying c...

The objective of this study is to investigate whether parentally-reported gastro-intestinal (GI) symptoms are increased in a population-derived sample of children with autism spectrum disorders (ASD) compared to controls. Participants included 132 children with ASD and 81 with special educational needs (SEN) but no ASD, aged 10-14 years plus 82 typically developing (TD) children. Data were coll...

The effects of computer-based Working Memory (WM) training using two training procedures were examined among sixty-four primary-school children with Special Educational Needs (SEN). Measures of general cognitive ability, auditory and visuospatial working memory, arithmetic ability, and reading and writing skills were gathered and analysed. The referred group of SEN children predominantly had lo...

ly, ← T may be characterized as the largest theory system of I ≤-included in the theory family T . Proposition 2.2 Suppose that I = 〈Sign, SEN, C〉 is a π-institution and T a theory family of I. Then ← T is the largest theory system of I that is ≤-included in T . P r o o f. Suppose that T ′ is a theory system of I, such that T ′ ≤ T . Let Σ ∈ |Sign|, and φ ∈ SEN(Σ), such that φ ∈ T ′ Σ. Therefor...

BACKGROUND Previous studies have demonstrated an association between preterm delivery and increased risk of special educational need (SEN). The aim of our study was to examine the risk of SEN across the full range of gestation. METHODS AND FINDINGS We conducted a population-based, retrospective study by linking school census data on the 407,503 eligible school-aged children resident in 19 Sco...