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Highly Cited

2009

Highly Cited

2009

Researchers are increasingly using the standardized difference to compare the distribution of baseline covariates between…

Highly Cited

2007

Highly Cited

2007

We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting…

Highly Cited

2007

Highly Cited

2007

Traditionally, interference is considered harmful. Wireless networks strive to avoid scheduling multiple transmissions at the…

Highly Cited

2007

Review

2003

Review

2003

We review the concept of intra-class correlation in random-effects models for binary outcomes as estimated by Stata's xtprobit…

Highly Cited

2002

Highly Cited

2002

The problem of choosing the correct number of clusters is as old as cluster analysis itself. A number of authors have suggested…

Highly Cited

1995

Highly Cited

1995

Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…

Highly Cited

1993

Highly Cited

1993

Marginal models for multivariate binary data permit separate modelling of the relationship of the response with explanatory…

Highly Cited

1993

Highly Cited

1993

A new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the…

Highly Cited

1993

Highly Cited

1993

A circuit implementation of the chaotic Lorenz system is described. The chaotic behavior of the circuit closely matches the…