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Dive into the research topics where Sandy Burden is active.

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Featured researches published by Sandy Burden.


Environmental and Ecological Statistics | 2005

Spatio-temporal Analysis of Acute Admissions for Ischemic Heart Disease in NSW, Australia

Sandy Burden; Subharup Guha; Geoffrey Morgan; Louise Ryan; Ross Sparks; Linda J. Young

The recently funded Spatial Environmental Epidemiology in New South Wales (SEE NSW) project aims to use routinely collected data in NSW Australia to investigate risk factors for various chronic diseases. In this paper, we present a case study focused on the relationship between social disadvantage and ischemic heart disease to highlight some of the methodological challenges that are likely to arise.


Public Health Nutrition | 2012

The impact of complex survey design on prevalence estimates of intakes of food groups in the Australian National Children's Nutrition and Physical Activity Survey

Sandy Burden; Yasmine Probst; David G Steel; Linda C Tapsell

OBJECTIVE To assess the impact of the complex survey design used in the 2007 Australian National Childrens Nutrition and Physical Activity Survey (ANCNPAS07) on prevalence estimates for intakes of groups of foods in the population of children. DESIGN The impacts on prevalence estimates were determined by calculating design effects for values for food group consumption. The implications of ignoring elements of the sample design including stratification, clustering and weighting are discussed. SETTING The ANCNPAS07 used a complex sample design involving stratification, a high degree of clustering and estimation weights. SUBJECTS Australian children aged 2-16 years. RESULTS Design effects ranging from <1 to 5 were found for the values of mean consumption and proportion of the population consuming the food groups. When survey weights were ignored, prevalence estimates were also biased. CONCLUSIONS Ignoring the complex survey design used in the ANCNPAS07 could result in underestimating the width of confidence intervals, higher mean square errors and biased estimators. The magnitude of these effects depends on both the parameter under consideration and the chosen estimator.


Econometrics | 2015

The SAR Model for Very Large Datasets: A Reduced Rank Approach

Sandy Burden; Noel A Cressie; David G Steel


Population Space and Place | 2016

Constraint choice for spatial microsimulation

Sandy Burden; David G Steel


Journal of Food Composition and Analysis | 2009

Identification of food groups for use in a self-administered, computer-assisted diet history interview for use in Australia

Sandy Burden; Yasmine Probst; David G Steel; Linda C Tapsell


Stat | 2015

Figures of merit for simultaneous inference and comparisons in simulation experiments

Noel A Cressie; Sandy Burden


Statistical Science | 2015

Capturing multivariate spatial dependence: model, estimate and then predict

Noel A Cressie; Sandy Burden; Walter R. Davis; Pavel N. Krivitsky; Payam Mokhtarian; Thomas F Suesse; Andrew Zammit-Mangion


Archive | 2013

Characteristics of empirical zoning distributions for small area health data

Sandy Burden; David G Steel


Journal of Food Composition and Analysis | 2009

Updating the DietAdvice website with new Australian food composition data

Yasmine Probst; Holley-Anne Jones; Shannon Lin; Sandy Burden; David G Steel; Linda C Tapsell


Geographical Analysis | 2016

Empirical Zoning Distributions for Small Area Data

Sandy Burden; David G Steel

Collaboration


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David G Steel

University of Wollongong

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Noel A Cressie

University of Wollongong

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Yasmine Probst

University of Wollongong

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Ross Sparks

Commonwealth Scientific and Industrial Research Organisation

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