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2017, Second edition., Monographs on statistics and applied probability, ISBN 9781498720618, Volume 153., xix, 446 pages
This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been... 
Linear models (Statistics) | Generalized estimating equations
Book
2006, Monographs on Statistics and Applied Probability, ISBN 1584886315, Volume 106, 396
Book
Journal Article
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, ISSN 1369-7412, 2007, Volume 69, pp. 659 - 677
We introduce a path following algorithm for L-1-regularized generalized linear models. The L-1-regularization procedure is useful especially because it, in... 
generalized linear model | path algorithm | lasso | predictor-corrector method | LOGISTIC-REGRESSION | regularization | GENE-EXPRESSION | STATISTICS & PROBABILITY | variable selection | CANCER
Journal Article
The Annals of Statistics, ISSN 0090-5364, 12/2010, Volume 38, Issue 6, pp. 3567 - 3604
Journal Article
Journal of the Royal Statistical Society: Series C (Applied Statistics), ISSN 0035-9254, 11/2016, Volume 65, Issue 5, pp. 649 - 675
Journal Article
2011, Chapman & Hall/CRC texts in statistical science series, ISBN 9781420091557, xiii, 302
Book
Biometrika, ISSN 0006-3444, 12/2017, Volume 104, Issue 4, pp. 987 - 994
This paper considers testing for no effect of functional covariates on response variables in multivariate regression. We use generalized estimating equations... 
Cluster data | Generalized estimating equation | Functional data analysis | Family sequencing data | ESTIMATORS | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | FAMILY | Miscellanea
Journal Article
The Annals of Statistics, ISSN 0090-5364, 4/2008, Volume 36, Issue 2, pp. 614 - 645
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 06/2011, Volume 12, pp. 1923 - 1953
Journal Article
Genetics, ISSN 0016-6731, 08/2019, Volume 212, Issue 4, pp. 1063 - 1073
We develop a flexible and computationally efficient approach for analyzing high-throughput chemical genetic screens. In such screens, a library of genetic... 
Stresses | Computer simulation | Categories | Escherichia coli | Genes | Genomes | Matrix methods | Screens | Generalized linear models | Genetic screening | Mutants | Organic chemistry | Algorithms | Annotations | Antibiotics | E coli | Mathematical analysis | Physiology | Methods | Index Medicus
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 10/2018, Volume 113, Issue 524, pp. 1828 - 1845
Journal Article