Restricted maximum likelihood estimation of a common mean and the Mandel–Paule algorithm

By Andrew L. Rukhin, Brad J. Biggerstaff, Mark G. Vangel. 2000

71 citations recorded by the source corpus.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/bafa0760407bf293ca48f04df6161269b7a671bf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

1. Georgia Salanti
2. Dan Jackson
3. Julian P. T. Higgins
4. R. Dersimonian
5. Raghu N. Kacker
6. Paul T. von Hippel

In Statistics and Probability

1. Julian P. T. Higgins
2. Georgia Salanti
3. Dan Jackson
4. W. Viechtbauer
5. Ian R. White
6. J. Bowden
7. R. Dersimonian
8. S. Thompson

Citations in the corpus

• Methods to estimate the between‐study variance and its uncertainty in meta‐analysis† (2015, methodology): “Rukhin et al. (2000) showed that when assumptions underlying the method do not hold, the method is still more robust compared to the DL estimator, which depends on large sample sizes.”
• Combining information from interlaboratory evaluations using a random effects model (2004, background): “Recently, Rukhin and Vangel [8] and Rukhin et al [7] investigated the properties of s2b (PM) under normality.”
• Random-effects model for meta-analysis of clinical trials: an update. (2007, methodology): “[ 4 ] more recently investigated its properties under normality.”