Journal ArticleDOI
A comparison of models for clustered binary outcomes: analysis of a designed immunology experiment
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The model confirmed that the LPA response is significantly impaired in individuals infected with the human immunodeficiency virus (HIV), and this effect was significantly stronger among HIV‐infected individuals.Abstract:
The lymphocyte proliferative assay (LPA) of immune competence was conducted on 52 subjects, with up to 36 processing conditions per subject, to evaluate whether samples could be shipped or stored overnight, rather than being processed on fresh blood as currently required. The LPA study resulted in clustered binary data, with both cluster level and cluster-varying covariates. Two modelling strategies for the analysis of such clustered binary data are through the cluster-specific and population-averaged approaches. Whereas most research in this area has focused on the analysis of matched pairs data, in many situations, such as the LPA study, cluster sizes are naturally larger. Through considerations of interpretation and efficiency of these models when applied to large clusters, the mixed effect cluster-specific model was selected as most appropriate for the analysis of the LPA data. The model confirmed that the LPA response is significantly impaired in individuals infected with the human immunodeficiency virus (HIV). The LPA response was found to be significantly lower for shipped and overnight samples than for fresh samples, and this effect was significantly stronger among HIV-infected individuals. Surprisingly, an anticoagulant effect was not detected.read more
Citations
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Addressing diarrhea prevalence in the West African Middle Belt: social and geographic dimensions in a case study for Benin.
TL;DR: The study confirms the well established stylized fact on the causes of diarrhea that a household with access to clean water and with good hygienic practices will not suffer diarrhea very often and finds that the richer and better educated segments of the population suffer much less from the disease and apparently can secure safe water for their households, irrespective of where they live.
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Analysis of multicentre epidemiological studies: contrasting fixed or random effects modelling and meta-analysis.
Xavier Basagaña,Marie Pedersen,Jose Barrera-Gómez,Ulrike Gehring,Lise Giorgis-Allemand,Gerard Hoek,Massimo Stafoggia,Mark J. Nieuwenhuijsen,Bert Brunekreef,Rémy Slama +9 more
TL;DR: The similarities of and differences between these three modelling approaches are illustrated, explain the reasons why they may provide different conclusions and offer advice on which model to choose depending on the characteristics of the study.
A bibliography on variance components an introduction and an update: 1984-2002
Hardeo Sahai,Anwer Khurshid +1 more
TL;DR: In particular, the study of variance through a class of linear models known as random and mixed models is a central topic in statistics with wide ramifications in both theory and applications as discussed by the authors.
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Patient pain in primary care: factors that influence physician diagnosis.
TL;DR: The diagnosis of pain is influenced by the severity of patient pain, patient gender, and physician practice style, and the routine use of pain assessment tools is found to be effective in improving physician recognition and treatment of patients’ pain.
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Analysis of familial aggregation in the presence of varying family sizes
TL;DR: A hybrid approach is proposed in which analysis is based on the assumption of the quadratic exponential model for a selected family size and combines a missing data approach for smaller families with a marginalization approach for larger families.
References
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Longitudinal data analysis using generalized linear models
Kung Yee Liang,Scott L. Zeger +1 more
TL;DR: In this article, an extension of generalized linear models to the analysis of longitudinal data is proposed, which gives consistent estimates of the regression parameters and of their variance under mild assumptions about the time dependence.
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Analysis of longitudinal data
TL;DR: In this paper, a generalized linear model for longitudinal data and transition models for categorical data are presented. But the model is not suitable for categric data and time dependent covariates are not considered.
Journal ArticleDOI
Models for longitudinal data: a generalized estimating equation approach.
TL;DR: This article discusses extensions of generalized linear models for the analysis of longitudinal data in which heterogeneity in regression parameters is explicitly modelled and uses a generalized estimating equation approach to fit both classes of models for discrete and continuous outcomes.
Journal ArticleDOI
Analysis of Longitudinal Data.
TL;DR: Van Der Heijden et al. as discussed by the authors used correspondence analysis for the analysis of transitions between more than two time points, where the transition matrix is the product of the margins of the table divided by the total sample size.
Journal ArticleDOI
Generalized linear mixed models a pseudo-likelihood approach
TL;DR: In this article, a pseudo-likelihood estimation procedure is developed to fit this class of mixed models based on an approximate marginal model for the mean response, implemented via iterated fitting of a weighted Gaussian linear mixed model to a modified dependent variable.