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Biometrics by the Border

Biometrics by the Border

The International Biometric Society Australasian Region Conference, 26-30th November 2017
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Comparisons Of Two Large Long-Term Studies In Alzheimer’s Disease

November 4, 2017 admin

The incidence of Alzheimer’s disease (AD), the leading cause of dementia, is predicted to increase at least three fold by…

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A Hidden Markov Model For Sleep Stage Detection Using Raw Tri-Axial Wrist Actigraphy

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Sleep is a complex yet organised process consisting of regular cycles of sleep stages. These stages are rapid-eye movement and…

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Challenges Analysing Combined Agricultural Field Trials With Partially Overlapping Treatments

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To make recommendations on which management practices have the potential to increase crop yield there needs to be a consistent…

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Forecasting Hotspots Of Potentially Preventable Hospitalisations With Spatially Aggregated Longitudinal Health Data: All Subset Model Selection With A Novel Implementation Of Repeated k-Fold Cross-Validation

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It is sometimes difficult to target individuals for health intervention due to limited information on their behaviour and risk factors.…

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Identifying Clusters Of Patients With Diabetes Using a Markov Birth-Death Process

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Estimating disease trajectories has increasingly become more essential to clinical practitioners to administer effective treatment to their patients. A part…

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Analysis of Melanoma Data with a Mixture of Survival Models Utilising Multi-class DLDA to Inform Mixture Class

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Melanoma is a prevalent skin cancer in Australia, with close to 14000 new cases estimated to be diagnosed in 2017.…

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Dimensionality Reduction of LIBS Data for Bayesian Analysis

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In 2004, Aitken and Lucy published an article detailing a two-level likelihood ratio for multivariate trace evidence. This model has…

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Visualising Model Selection Stability in High-Dimensional Regression Models

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The mplot R package provides a provides an implementation of model stability and variable inclusion plots for researchers to use…

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The Missing Link: An Equivalence Result For Likelihood Based Methods In Missing Data Problems

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Multiple imputation and maximum likelihood estimation (via the expectation-maximization algorithm) are two well-known methods readily used for analysing data with…

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Propensity Score Approaches In The Presence Of Missing Data: Comparison Of Balance And Treatment Effect Estimates

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The use of propensity score methods can potentially improve balance between groups in observational study data, thus minimising confounding. However,…

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