Browsing by Author "Hinde, John"
Now showing items 1-20 of 20
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Analysis of an Observational Studies - An Example Using Data from the Irish Cancer Registry
Dooley, Cara; Hinde, John (2011)The study presented below aimed to compare survival of colorectal cancer patients against survival of a sub-population with a secondary disease, in ammatory bowel disease (IBD). The data were taken from a observational ... -
Analysis of an Observational Study
Dooley, Cara; Hinde, John (2011)The study presented below aimed to compare survival of colorectal cancer patients against survival of a sub-population with a secondary disease, in ammatory bowel disease (IBD). The data were taken from a observational ... -
Analyzing time-course microarray data using functional data analysis - a review
Coffey, Norma; Hinde, John (Statistical Applications in Genetics and Molecular Biology, 2011-05)Gene expression over time can be viewed as a continuous process and therefore represented as a continuous curve or function. Functional data analysis (FDA) is a statistical methodology used to analyze functional data ... -
Aspects of modeling and application of survival-type data
Fallah, Lida (NUI Galway, 2018-02)Survival analysis is collection of methods for analyzing data where the outcome of interest is the time to an event and some of the observations are censored. Survival data can arise naturally from studies on, machines' ... -
Bayesian imputation of right censored data in time-to-event studies
Moghaddam, Shirin (NUI Galway, 2018-03-20)In time-to-event studies subjects are followed until the event of interest has happened. Subjects who do not experience the event are referred to as censored. Due to censoring, methods of plotting individual survival ... -
Bioassay models with natural mortality and random effects
Hinde, John (2011)In fitting dose-response models to entomological data it is often necessary to take account of natural mortality and/or overdispersion. The standard approach to handle natural mortality is to use Abbott¿s formula. Standard ... -
Bioassays with natural mortality: handling overdispersion using random effects
Hinde, John (2011)In fitting dose-response models to entomological data it is often necessary to take account of natural mortality and/or overdispersion. The standard approach to handle natural mortality is to use Abbott's formula (Abbott, ... -
Estimating average attributable fractions with confidence intervals for cohort and case control studies
Ferguson, John; Alvarez-Iglesias, Alberto; Newell, John; Hinde, John; O’Donnell, Martin (SAGE Publications, 2016-06-24)Chronic diseases tend to depend on a large number of risk factors, both environmental and genetic. Average attributable fractions were introduced by Eide and Gefeller as a way of partitioning overall disease burden into ... -
Extended poisson–tweedie: properties and regression models for count data
Bonat, Wagner H.; Jørgensen, Bent; Kokonendji, Célestin C.; Hinde, John; Demétrio, Clarice G. B. (SAGE Publications, 2017-08-30)We propose a new class of discrete generalized linear models based on the class of Poisson-Tweedie factorial dispersion models with variance of the form mu + phi mu(p), where mu is the mean and phi and p are the dispersion ... -
Extensions and Applications of Survival Trees in Medical Data
Alvarez-Iglesias, Alberto (2012-09-17)Survival trees are a non-parametric modeling strategy that can be included in the area of statistical modeling. These type of models can be used as an alternative to Cox proportional hazards models for the analysis of ... -
Global and local tests to assess stationarity of Markov transition models
Rodrigues de Lara, Idemauro Antonio; Hinde, John; Taconeli, Cesar Augusto (Taylor & Francis, 2018-02-09)We present global and local likelihood-based tests to evaluate stationarity in transition models. Three motivational studies are considered. A simulation study was carried out to assess the performance of the proposed ... -
Half-normal plots and overdispersed models in r: the hnp package
Moral, Rafael A; Hinde, John; Demétrio, Clarice G B (Foundation for Open Access Statistic, 2017-01-01)Count and proportion data may present overdispersion, i.e., greater variability than expected by the Poisson and binomial models, respectively. Different extended generalized linear models that allow for overdispersion may ... -
Including unsexed individuals in sex-specific growth models
Minto, Cóilín; Hinde, John; Coelho, Rui (Canadian Science Publishing, 2017-04-19)Sexually dimorphic growth models are typically estimated by fitting growth curves to individuals of known sex. Yet, macroscopically ascribing sex can be difficult, particularly for immature animals. As a result, sex-specific ... -
Models for overdispersed data in entomology
Demétrio, Clarice G. B.; Hinde, John; Moral, Rafael A. (Springer, Cham, 2014-09-17)Entomological data are often overdispersed, characterised by a larger variance than assumed by simple standard models. It is important to model overdispersion properly in order to avoid incorrect and misleading inferences. ... -
Multimorbidity and risk among patients with established cardiovascular disease: a cohort study
Glynn, Liam G; Buckley, Brian; Reddan, Donal; Newell, John; Hinde, John; Dinneen, Sean F; Murphy, Andrew W (Royal College of General Practitioners, 2008-07-01)Background Most patients managed in primary care have more than one condition. Multimorbidity presents challenges for the patient and the clinician, not only in terms of the process of care, but also in terms of management ... -
Observational studies, matching and propensity scores: Applied to colorectal cancer data
Dooley, Cara (NUI Galway, 2020-04-15)Many studies in biostatistics are concerned with comparing two groups of patients, a treatment and a control group, to determine the effect of the treatment. Observational studies typically make use of available data, such ... -
A random effects continuation-ratio model for replicated toxicological data
Martinez, Marie-Jose; Hinde, John (2011) -
Summarising censored survival data using the mean residual life function
Alvarez-Iglesias, Alberto; Newell, John; Scarrott, Carl; Hinde, John (Wiley-Blackwell, 2015-01-28) -
Teaching Styles Revisited - Teaching Statistical Modelling in R
Hinde, John (2011) -
A Weibull-count approach for handling under- and overdispersed longitudinal/clustered data structures
Luyts, Martial; Molenberghs, Geert; Verbeke, Geert; Matthijs, Koen; Ribeiro Jr, Eduardo E.; Demétrio, Clarice G. B.; Hinde, John (SAGE Publications, 2018-07-30)A Weibull-model-based approach is examined to handle under- and overdispersed discrete data in a hierarchical framework. This methodology was first introduced by Nakagawa and Osaki (1975, IEEE Transactions on Reliability, ...