# Random effects model

## Papers overview

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Highly Cited

2013

Highly Cited

2013

- 2013

............................................................................................................................................................. 2 Acknowledgements ............................................................................................................................................ 3Â

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Highly Cited

2010

Highly Cited

2010

- Research synthesis methods
- 2010

There are two popular statistical models for meta-analysis, the fixed-effect model and the random-effects model. The fact thatâ€¦Â (More)

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Highly Cited

2009

Highly Cited

2009

- Social Networks
- 2009

Social network data often involve transitivity, homophily on observed attributes, clustering, and heterogeneity of actor degreesâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- 2008

6.Â

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Highly Cited

2007

Highly Cited

2007

- 2007

This paper provides a non-technical introduction to mixed-effects models for the analysis of repeated measurement data withâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- 2007

Psycholinguistic data are often analyzed with repeated-measures analyses of variance (ANOVA), but this paper argues that mixedâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- 2004

The penalized quasi-likelihood (PQL) approach is the most common estimation procedure for the generalized linear mixed modelâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- Hypertension
- 2003

Increased body weight is a strong risk factor for hypertension. A meta-analysis of randomized controlled trials was performed toâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- 2003

A random effects model is proposed for the analysis of binary dyadic data that represent a social network or directed graphâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- 2002

Received analyses based on stochastic frontier modeling with panel data have relied primarily on results from traditional linearâ€¦Â (More)

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