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Journal ArticleDOI

A comparison of the general linear mixed model and repeated measures ANOVA using a dataset with multiple missing data points.

Charlene Krueger, +1 more
- 01 Oct 2004 - 
- Vol. 6, Iss: 2, pp 151-157
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TLDR
The purpose of this article is to demonstrate the advantages of using the mixed model for analyzing nonlinear, longitudinal datasets with multiple missing data points by comparing the mixedmodel to the widely used repeated measures ANOVA using an experimental set of data.
Abstract
Longitudinal methods are the methods of choice for researchers who view their phenomena of interest as dynamic. Although statistical methods have remained largely fixed in a linear view of biology and behavior, more recent methods, such as the general linear mixed model (mixed model), can be used to analyze dynamic phenomena that are often of interest to nurses. Two strengths of the mixed model are (1) the ability to accommodate missing data points often encountered in longitudinal datasets and (2) the ability to model nonlinear, individual characteristics. The purpose of this article is to demonstrate the advantages of using the mixed model for analyzing nonlinear, longitudinal datasets with multiple missing data points by comparing the mixed model to the widely used repeated measures ANOVA using an experimental set of data. The decision-making steps in analyzing the data using both the mixed model and the repeated measures ANOVA are described.

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Citations
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Journal ArticleDOI

The Effects of Interactive Latency on Exploratory Visual Analysis

TL;DR: Analyzing verbal data from think-aloud protocols, it is found that increased latency reduces the rate at which users make observations, draw generalizations and generate hypotheses, causing users to shift exploration strategy, in turn affecting performance.
Journal ArticleDOI

Widespread transneuronal propagation of α-synucleinopathy triggered in olfactory bulb mimics prodromal Parkinson's disease

TL;DR: A mouse model for the spatial propagation of α-synuclein pathology that mimics prodromal Parkinson's disease is generated and it is shown that the pathology mimics that in humans is similar to that in animals.
Journal ArticleDOI

Spread of aggregates after olfactory bulb injection of α-synuclein fibrils is associated with early neuronal loss and is reduced long term.

TL;DR: How far the pathology has spread 18- and 23-month post-injection in Parkinson’s disease is reported, and it is speculated that the lack of continued progression of α-synuclein pathology is due to compromise of the neural circuitry, consequential to neuron loss and possibly to the activation of proteolytic mechanisms in resilient neurons of wild-type mice that counterbalances the spread and seeding by degrading pathogenic α- synuclein.
Journal ArticleDOI

Relationship of Carbapenem Restriction in 22 University Teaching Hospitals to Carbapenem Use and Carbapenem-Resistant Pseudomonas aeruginosa

TL;DR: Overall carbapenem use increased significantly over the 5 years of study, although overall carbAPenem resistance in P. aeruginosa did not change, and hospitals that restricted carbapENems actually used fewer fluoroquinolones than those that did not.
References
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Book

Linear Mixed Models for Longitudinal Data

TL;DR: Using data of 955 men, Brant et al showed that the average rates of increase of systolic blood pressure (SBP) are smallest in the younger age groups, and greatest in the older agegroups, and that obese individuals tend to have a higher SBP than non-obese individuals.
Journal ArticleDOI

Linear Mixed Models for Longitudinal Data

Ana Ivelisse Avilés
- 01 Aug 2001 - 
TL;DR: This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data and attempts to target applied statisticians and biomedical researchers in industry, public health organizations, contract research organizations, and academia.
Journal ArticleDOI

Using the General Linear Mixed Model to Analyse Unbalanced Repeated Measures and Longitudinal Data

TL;DR: The general linear mixed model as discussed by the authors provides a useful approach for analysing a wide variety of data structures which practising statisticians often encounter, such as unbalanced repeated measures data and longitudinal data.
Journal ArticleDOI

Are there behavioural states in the human fetus

TL;DR: The conclusion is reached that periods of coincidence occurred by chance and did not represent organized behavioural states in the human fetus.
Book

Statistical Methods for the Analysis of Repeated Measurements

TL;DR: In this article, the authors present an unstructured multivariate approach for one-sample repeated measures ANOVA and Linear Mixed Models (LMLM) for weighted least squares analysis of repeated categorical outcomes.
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