Denise Brown

Alastair H. Leyland3
Ruth Dundas2
Mirjam Allik2
Christopher Conlon1
3Alastair H. Leyland
2Ruth Dundas
2Mirjam Allik
1Christopher Conlon
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  • Céline Langendorf, Thomas Roederer, Saskia de Pee, Denise Brown, Stéphane Doyon, Abdoul-Aziz Mamaty +3 others
  • 2014
BACKGROUND Finding the most appropriate strategy for the prevention of moderate acute malnutrition (MAM) and severe acute malnutrition (SAM) in young children is essential in countries like Niger with annual "hunger gaps." Options for large-scale prevention include distribution of supplementary foods, such as fortified-blended foods or lipid-based nutrient(More)
This study investigates population mobility and its relationship with area level deprivation and health. Based on UK movement in the year preceding the 2001 census, small areas in Scotland were classified as being one of the following population types; decreasing, increasing or stable (with high or low turnover). In the most deprived areas, illness rates(More)
Despite recent increases in life expectancy, inequalities in mortality in Scotland have been widening. Previous research has suggested that one of the potential drivers of geographical inequalities in health is the process of selective migration. Although support for the effect of selective migration on widening geographic inequalities in health has been(More)
Material deprivation contributes to inequalities in health; areas of high deprivation have higher rates of ill-health. How deprivation is measured has a great impact on its explanatory power with respect to health. We compare previous deprivation measures used in Scotland and proposes a new deprivation measure using the 2001 and 2011 Scottish census data.(More)
Methods for capturing images in three dimensions are now widely available, with stereo-photogrammetry and laser scanning being two common approaches. In anatomical studies, a number of landmarks are usually identified manually from each of these images and these form the basis of subsequent statistical analysis. However, landmarks express only a very small(More)
Survival data are often modelled by the Cox proportional hazards model, which assumes that covariate effects are constant over time. In recent years however, several new approaches have been suggested which allow covariate effects to vary with time. Non-proportional hazard functions, with covariate effects changing dynamically, can be fitted using penalised(More)
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