Louise Ryan
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View article: Semi-parametric benchmark dose analysis with monotone additive models
Semi-parametric benchmark dose analysis with monotone additive models Open
Benchmark dose analysis aims to estimate the level of exposure to a toxin associated with a clinically significant adverse outcome and quantifies uncertainty using the lower limit of a confidence interval for this level. We develop a novel…
View article: Benchmark dose profiles for bivariate exposures
Benchmark dose profiles for bivariate exposures Open
While benchmark dose (BMD) methodology is well‐established for settings with a single exposure, these methods cannot easily handle multidimensional exposures with nonlinear effects. We propose a framework for BMD analysis to characterize t…
View article: Meta-analysis on studies with heterogeneous and partially observed covariates
Meta-analysis on studies with heterogeneous and partially observed covariates Open
Individual participant data meta-analysis is a commonly used alternative to the traditional aggregate data meta-analysis. It is popular because it avoids relying on published results and enables direct adjustment for relevant covariates. H…
View article: Semi-parametric Benchmark Dose Analysis with Monotone Additive Models
Semi-parametric Benchmark Dose Analysis with Monotone Additive Models Open
Benchmark dose analysis aims to estimate the level of exposure to a toxin that results in a clinically-significant adverse outcome and quantifies uncertainty using the lower limit of a confidence interval for this level. We develop a novel…
View article: Bayesian outcome selection modeling
Bayesian outcome selection modeling Open
In psychiatric and social epidemiology studies, it is common to measure multiple different outcomes using a comprehensive battery of tests thought to be related to an underlying construct of interest. In the research that motivates our wor…
View article: The SSA is 60!
The SSA is 60! Open
To celebrate the 60th anniversary of the Statistical Society of Australia, we put the spotlight on four members past and present. Interviews and profiles by Louise Ryan, John Henstridge and Jessica Kasza
View article: Forecasting Multiple Groundwater Time Series with Local and Global Deep Learning Networks
Forecasting Multiple Groundwater Time Series with Local and Global Deep Learning Networks Open
Time series data from environmental monitoring stations are often analysed with machine learning methods on an individual basis, however recent advances in the machine learning field point to the advantages of incorporating multiple relate…
View article: Bayesian outcome selection modelling
Bayesian outcome selection modelling Open
Psychiatric and social epidemiology often involves assessing the effects of environmental exposure on outcomes that are difficult to measure directly. To address this problem, it is common to measure outcomes using a comprehensive battery …
View article: A hierarchical meta‐analysis for settings involving multiple outcomes across multiple cohorts
A hierarchical meta‐analysis for settings involving multiple outcomes across multiple cohorts Open
Evidence from animal models and epidemiological studies has linked prenatal alcohol exposure (PAE) to a broad range of long‐term cognitive and behavioural deficits. However, there is a paucity of evidence regarding the nature and levels of…
View article: Asthma adherence article raw data set
Asthma adherence article raw data set Open
Asthma adherence atricle raw data: Anonymised raw data for each patient in the study covering demographic data, preventer medication adherence data, rescue inhaler data, spirometry results and FeNO. Description of the Data and file structu…
View article: Effects of prenatal alcohol exposure on cognitive and behavioral development: Findings from a hierarchical meta‐analysis of data from six prospective longitudinal U.S. cohorts
Effects of prenatal alcohol exposure on cognitive and behavioral development: Findings from a hierarchical meta‐analysis of data from six prospective longitudinal U.S. cohorts Open
Background Cognitive and behavioral sequelae of prenatal alcohol exposure (PAE) continue to be prevalent in the United States and worldwide. Because these sequelae are also common in other neurodevelopmental disorders, researchers have att…
View article: Propensity Score Analysis for a Semi-Continuous Exposure Variable: A Study of Gestational Alcohol Exposure and Childhood Cognition
Propensity Score Analysis for a Semi-Continuous Exposure Variable: A Study of Gestational Alcohol Exposure and Childhood Cognition Open
Propensity score methodology has become increasingly popular in recent years as a tool for estimating causal effects in observational studies. Much of the related research has been directed at settings with binary or discrete exposure vari…
View article: Modelling age-related changes in executive functions of soccer players
Modelling age-related changes in executive functions of soccer players Open
The widespread popularity of soccer across the globe has turned it into a multi-billion dollar industry. As a result, most professional clubs actively engage in talent identification and development programmes. Contemporary research has ge…
View article: A Cohort Study to Investigate Sex-specific Differences in ANCA-associated Glomerulonephritis Outcomes
A Cohort Study to Investigate Sex-specific Differences in ANCA-associated Glomerulonephritis Outcomes Open
Introduction Data surrounding sex-specific differences in ANCA-associated vasculitis glomerulonephritis (ANCA-GN) outcomes is sparse. We hypothesised that the previously observed increased risk of end-stage kidney disease (ESKD) in males i…
View article: Bayesian structural equation modeling for data from multiple cohorts
Bayesian structural equation modeling for data from multiple cohorts Open
While it is well known that high levels of prenatal alcohol exposure (PAE) result in significant cognitive deficits in children, the exact nature of the dose response is less well understood. In particular, there is a pressing need to iden…
View article: Modern Strategies for Time Series Regression
Modern Strategies for Time Series Regression Open
Summary This paper discusses several modern approaches to regression analysis involving time series data where some of the predictor variables are also indexed by time. We discuss classical statistical approaches as well as methods that ha…
View article: A Hierarchical Meta-Analysis for Settings Involving Multiple Outcomes\n across Multiple Cohorts
A Hierarchical Meta-Analysis for Settings Involving Multiple Outcomes\n across Multiple Cohorts Open
Evidence from animal models and epidemiological studies has linked prenatal\nalcohol exposure (PAE) to a broad range of long-term cognitive and behavioral\ndeficits. However, there is virtually no information in the scientific\nliterature …
View article: P1733MINERAL BONE DISEASE (MBD) IS THE POST KIDNEY TRANSPLANTATION POPULATION
P1733MINERAL BONE DISEASE (MBD) IS THE POST KIDNEY TRANSPLANTATION POPULATION Open
Background and Aims Patients with ESRD have a 4-fold higher risk of fracture compared to the general population. (1) Transplant bone disease is a combination of mineral bone disease sustained pre transplantation and damage incurred post tr…
View article: Multiclass classification of growth curves using random change points and heterogeneous random effects
Multiclass classification of growth curves using random change points and heterogeneous random effects Open
Faltering growth among children is a nutritional problem prevalent in low to medium income countries; it is generally defined as a slower rate of growth compared to a reference healthy population of the same age and gender. As faltering is…
View article: Multiclass classification of growth curves using random change points\n and heterogeneous random effects
Multiclass classification of growth curves using random change points\n and heterogeneous random effects Open
Faltering growth among children is a nutritional problem prevalent in low to\nmedium income countries; it is generally defined as a slower rate of growth\ncompared to a reference healthy population of the same age and gender. As\nfaltering…
View article: Analysis of grouped data using conjugate generalized linear mixed models
Analysis of grouped data using conjugate generalized linear mixed models Open
Summary This article concerns a class of generalized linear mixed models for two-level grouped data, where the random effects are uniquely indexed by groups and are independent. We derive necessary and sufficient conditions for the margina…
View article: Four papers on child growth modelling
Four papers on child growth modelling Open
An initiative of the Bill & Melinda Gates Foundation, the knowledge integration project (http://kiglobalhealth.org) aims to improve global child health by promoting and supporting knowledge sharing among researchers. While the project has …
View article: 163. A RETROSPECTIVE COHORT STUDY TO INVESTIGATE SEX-SPECIFIC DIFFERENCES IN ANCA-ASSOCIATED GLOMERULONEPHRITIS OUTCOMES
163. A RETROSPECTIVE COHORT STUDY TO INVESTIGATE SEX-SPECIFIC DIFFERENCES IN ANCA-ASSOCIATED GLOMERULONEPHRITIS OUTCOMES Open
Background: There is a paucity of data surrounding sex-specific differences in ANCA-associated glomerulonephritis (ANCA-GN) outcomes.A recent study demonstrated that males have a significantly higher risk of progression to end-stage renal …
View article: Detecting Faltering Growth in Children via Minimum Random Slopes
Detecting Faltering Growth in Children via Minimum Random Slopes Open
A child is considered to have faltered growth when increases in their height or weight starts to decline relative to a suitable comparison population. However, there is currently a lack of consensus on both the choice of anthropometric ind…