Logistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes
نویسندگان
چکیده
منابع مشابه
Logistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes
BACKGROUND Logistic random effects models are a popular tool to analyze multilevel also called hierarchical data with a binary or ordinal outcome. Here, we aim to compare different statistical software implementations of these models. METHODS We used individual patient data from 8509 patients in 231 centers with moderate and severe Traumatic Brain Injury (TBI) enrolled in eight Randomized Con...
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A likelihood-based boosting approach for the fitting of binary and ordinal mixed models is presented. In contrast to common procedures it can be used in high-dimensional settings where a large number of potentially influential explanatory variables is available. Constructed as a componentwise boosting method it is able to perform variable selection with the complexity of the resulting estimator...
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In multicentre studies patients are typically clustered within centres and are likely to be correlated. Typically, random effects logistic models are fitted to clustered binary outcomes. However, limited work has been done to assess the discriminatory ability of these models: the ability of the model to distinguish between low-and high-risk patients. The C-index has been used to assess discrimi...
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©FSRH J Fam Plann Reprod Health Care 2008: 34(3) What is it? When a response variable has only two possible values (e.g. recurrence/not), binary logistic regression is commonly used to test or model the association between that response and a number of potential explanatory variables, with each association estimated in terms of an odds ratio (OR). Multinomial logistic regression is an extension...
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Background: Regarding the increased risk of developing type 2 diabetes in pre-diabetic people, identifying pre-diabetes and determining of its risk factors seems so necessary. In this study, it is aimed to compare ordinary logistic regression and robust logistic regression models in modeling pre-diabetes risk factors. Methods: This is a cross-sectional study and conducted on 6460 people, over ...
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ژورنال
عنوان ژورنال: BMC Medical Research Methodology
سال: 2011
ISSN: 1471-2288
DOI: 10.1186/1471-2288-11-77