11 citations · 17 across the 7 of their papers we have counts for
6 papers · 1 filter
Bayesian outcome selection modelling
Khue-Dung Dang, Louise M. Ryan, Richard J. Cook +3
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 i…
Modern strategies for time series regression
Stephanie Clark, Rob J Hyndman, Dan Pagendam +1
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 classica…
A Hierarchical Meta-Analysis for Settings Involving Multiple Outcomes across Multiple Cohorts
Tugba Akkaya Hocagil, Louise M. Ryan, Richard J. Cook +6
Evidence from animal models and epidemiological studies has linked prenatal alcohol exposure (PAE) to a broad range of long-term cognitive and behavioral deficits. However, there i…
Multiclass classification of growth curves using random change points and heterogeneous random effects
Vincent Chin, Jarod Y. L. Lee, Louise M. Ryan +2
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 hea…
Conjugate generalized linear mixed models for clustered data
Jarod Y. L. Lee, Peter J. Green, Louise M. Ryan
This article concerns a class of generalized linear mixed models for clustered data, where the random effects are mapped uniquely onto the grouping structure and are independent be…
On the "Poisson Trick" and its Extensions for Fitting Multinomial Regression Models
Jarod Y. L. Lee, Peter J. Green, Louise M. Ryan
This article is concerned with the fitting of multinomial regression models using the so-called "Poisson Trick". The work is motivated by Chen & Kuo (2001) and Malchow-Møller & Sva…