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2010, Monographs on statistics and applied probability, ISBN 9781420074024, Volume 113., xx, 419
Book
2009, 1. Aufl., Statistics for biology and health, ISBN 0387874577, xxii, 574
Building on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and... 
Ecology | R (Computer program language) | Statistical methods | Multilevel models (Statistics) | Méthodes statistiques | Écologie | Biology, life sciences | Life Sciences | Math. Appl. in Environmental Science | Statistics for Life Sciences, Medicine, Health Sciences | Environmental Monitoring/Analysis
Book
Journal of Econometrics, ISSN 0304-4076, 07/2019, Volume 211, Issue 1, pp. 137 - 150
I propose some strategies for allowing unobserved heterogeneity to be correlated withobserved covariates and sample selection for unbalanced panels. The... 
Hausman test | Panel data | Correlated random effects | Unbalanced panel | TESTS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | REGRESSION-MODELS | BIAS | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | CROSS-SECTION | SELECTION | Parameter estimation | Estimation bias | Estimating techniques
Journal Article
Journal Article
FRONTIERS IN PSYCHOLOGY, ISSN 1664-1078, 06/2013, Volume 4, p. 328
Journal Article
Energy Economics, ISSN 0140-9883, 2011, Volume 33, Issue 2, pp. 257 - 263
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 12/2016, Volume 75, Issue 1, pp. 1 - 24
As any real-life data, data modeled by linear mixed-effects models often contain out-liers or other contamination. Even little contamination can drive the... 
Robust statistics | Hierarchical model | Mixed-effects model | Random effect | Crossed | ANOVA | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | BOOTSTRAP | mixed-effects model | random effect | STATISTICS & PROBABILITY | hierarchical model | crossed | robust statistics
Journal Article
Contemporary Clinical Trials, ISSN 1551-7144, 2015, Volume 45, Issue Pt A, pp. 123 - 129
Journal Article
Value in Health : The Journal of the International Society for Pharmacoeconomics and Outcomes Research, ISSN 1098-3015, 10/2017, Volume 20, Issue 9, p. A739
OBJECTIVES: In the past decade, many new oncology drugs entering the market have raised concerns on affordability. At market authorization (MA), data on budget... 
Authorization | Validation | Uncertainty | Health economics | Turnover | Oncology | Random effects | Specification | Deviation | Uptake | Affordability | Health information
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 04/2018, Volume 27, Issue 2, pp. 380 - 392
Fixed effects models are very flexible because they do not make assumptions on the distribution of effects and can also be used if the heterogeneity component... 
Fixed effects model | Tree-structured regression | Recursive partitioning | Regularization | Random effects model | PRIORS | LINEAR-MIXED MODELS | REGRESSION-MODELS | STATISTICS & PROBABILITY | INFERENCE | VARIABLE SELECTION | MISSPECIFICATION | MIXTURES | EM ALGORITHM | PREDICTORS | ERROR
Journal Article
Statistics and Computing, ISSN 0960-3174, 1/2019, Volume 29, Issue 1, pp. 79 - 98
Journal Article
Journal of Power Sources, ISSN 0378-7753, 02/2017, Volume 342, pp. 342 - 350
Numerous materials and processes go into the manufacture of lithium-ion batteries, resulting in variations across batteries' capacity fade measurements.... 
Lithium-ion battery | Nonlinear random effects | Capacity fade | Bayesian statistics | Markov chain Monte Carlo | PROGNOSTICS | ELECTROCHEMISTRY | ENERGY & FUELS | MATERIALS SCIENCE, MULTIDISCIPLINARY | LITHIUM BATTERIES | CHEMISTRY, PHYSICAL | STATE | DISTRIBUTIONS | HEALTH | Analysis | Models | Batteries | Markov processes | Monte Carlo method | Algorithms
Journal Article