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Non-linear mixed models in the analysis of mediated longitudinal data with binary outcomes

Overview of attention for article published in BMC Medical Research Methodology, January 2012
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Title
Non-linear mixed models in the analysis of mediated longitudinal data with binary outcomes
Published in
BMC Medical Research Methodology, January 2012
DOI 10.1186/1471-2288-12-5
Pubmed ID
Authors

Emily A Blood, Debbie M Cheng

Abstract

Structural equation models (SEMs) provide a general framework for analyzing mediated longitudinal data. However when interest is in the total effect (i.e. direct plus indirect) of a predictor on the binary outcome, alternative statistical techniques such as non-linear mixed models (NLMM) may be preferable, particularly if specific causal pathways are not hypothesized or specialized SEM software is not readily available. The purpose of this paper is to evaluate the performance of the NLMM in a setting where the SEM is presumed optimal.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 9%
Spain 1 4%
United States 1 4%
Sweden 1 4%
Unknown 18 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Researcher 5 22%
Student > Master 3 13%
Professor 3 13%
Lecturer 1 4%
Other 3 13%
Unknown 3 13%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 13%
Psychology 3 13%
Engineering 2 9%
Social Sciences 2 9%
Nursing and Health Professions 2 9%
Other 7 30%
Unknown 4 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 January 2012.
All research outputs
#9,905,964
of 12,373,180 outputs
Outputs from BMC Medical Research Methodology
#915
of 1,095 outputs
Outputs of similar age
#157,567
of 224,268 outputs
Outputs of similar age from BMC Medical Research Methodology
#12
of 15 outputs
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We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.