Suchergebnisse - "expectation-solution algorithm"

Spectral graph clustering via the expectation-solution algorithm

Autoren: Pisano, Zachary M. Agterberg, Joshua S. Priebe, Carey E. et al.

Quelle: Electronic Journal of Statistics. 16

Schlagwörter: Methodology (stat.ME), FOS: Computer and information sciences, 0301 basic medicine, 03 medical and health sciences, 62-08 (Primary) 62P15, 62P10 (Secondary), Applications (stat.AP), 0101 mathematics, Statistics - Applications, 01 natural sciences, Statistics - Methodology

Zugangs-URL: http://arxiv.org/abs/2003.13462

Mixtures of Marginal Models

Autoren: Rosen, Ori Jiang, Wenxin Tanner, Martin A.

Quelle: Biometrika, 2000 Jun 01. 87(2), 391-404.

Zugangs-URL: https://www.jstor.org/stable/2673471

Mixtures of marginal models

Autoren: Martin A. Tanner Wenxin Jiang Ori Rosen

Quelle: Biometrika. 87:391-404

Schlagwörter: Generalized linear models (logistic models), correlated outcome data, incomplete data, Linear inference, regression, expectation-solution algorithm, iodine content data, generalised estimating equations, epileptic seizures, 0101 mathematics, marginal models, 01 natural sciences, Applications of statistics to biology and medical sciences, meta analysis

Dateibeschreibung: application/xml

Zugangs-URL: https://academic.oup.com/biomet/article-pdf/87/2/391/591120/870391.pdf
http://biomet.oxfordjournals.org/content/87/2/391.abstract
https://academic.oup.com/biomet/article-abstract/87/2/391/221397
https://www.scholars.northwestern.edu/en/publications/mixtures-of-marginal-models

GEE-based zero-inflated generalized Poisson model for clustered over or under-dispersed count data.

Autoren: Sarvi, Fatemeh Moghimbeigi, Abbas Mahjub, Hossein

Quelle: Journal of Statistical Computation & Simulation. Sep2019, Vol. 89 Issue 14, p2711-2732. 22p.

Schlagwörter: *POISSON regression, *GENERALIZED estimating equations, *REGRESSION analysis, *ACQUISITION of data

Regression analysis for multiple-disease group testing data.

Autoren: Zhang, Boan Bilder, Christopher R. Tebbs, Joshua M.

Quelle: Statistics in Medicine. Dec2013, Vol. 32 Issue 28, p4954-4966. 16p.

geecure: An R-package for marginal proportional hazards mixture cure models.

Autoren: Niu, Yi Wang, Xiaoguang Peng, Yingwei

Quelle: Computer Methods & Programs in Biomedicine. Jul2018, Vol. 161, p115-124. 10p.

Schlagwörter: *INTEGRATED software, *PROPORTIONAL hazards models, *STATISTICAL bootstrapping, *SIMULATION methods & models, *WEIBULL distribution

Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution.

Autoren: Kang, Tong Levy, Steven M. Datta, Somnath

Quelle: Biometrical Journal; Apr2021, Vol. 63 Issue 4, p761-786, 26p

Robust estimation and inference in finite mixtures of generalized linear models

Autoren: Shen, Jing

Schlagwörter: Conditional densitiy, Double kernel methods, EM algorithm, Expectation solution algorithm, Mallow\'s class, Minimum Hellinger distance, M-estimator, Mixture models, Robustness, Zero-inflated binomial, Zero-inflated Poisson

Relation: shen_jing_200605_phd; http://purl.galileo.usg.edu/uga_etd/shen_jing_200605_phd; http://hdl.handle.net/10724/23248

Verfügbarkeit: http://hdl.handle.net/10724/23248
http://purl.galileo.usg.edu/uga_etd/shen_jing_200605_phd

Marginal models for zero-inflated clustered data

Autoren: Zhang, Zhengang

Schlagwörter: Regression Models, Expectation-Solution Algorithm, Generalized Estimating Equations, Working Correlation Structure, Exchangeable, AR(1), Independent, AIC, Quasilikelihood, Generalized Finite Mixture Model

Relation: zhang_zhengang_200412_phd; http://purl.galileo.usg.edu/uga_etd/zhang_zhengang_200412_phd; http://hdl.handle.net/10724/22279

Verfügbarkeit: http://hdl.handle.net/10724/22279
http://purl.galileo.usg.edu/uga_etd/zhang_zhengang_200412_phd

Marginal regression models for clustered count data based on zero-inflated Conway-Maxwell-Poisson distribution with applications.

Autoren: Choo‐Wosoba, Hyoyoung Levy, Steven M. Datta, Somnath

Quelle: Biometrics. Jun2016, Vol. 72 Issue 2, p606-618. 13p.

Schlagwörter: *LINEAR statistical models, *POISSON distribution, *STATISTICAL bootstrapping, *WATER fluoridation, *GEOMETRIC distribution

Statistical methods to further the understanding of complex and continuous genetic traits

Autoren: Bastone, Laurel Anne

Quelle: Dissertations available from ProQuest

Index Begriffe: Biostatistics|Genetics, text

URL: https://repository.upenn.edu/dissertations/AAI3260879

Robust Estimation for Zero-Inflated Poisson Regression.

Autoren: HALL, DANIEL B. JING SHEN

Quelle: Scandinavian Journal of Statistics. Jun2010, Vol. 37 Issue 2, p237-252. 16p. 6 Charts, 2 Graphs.

Schlagwörter: *REGRESSION analysis, *OUTLIERS (Statistics), *SIMULATION methods & models, *MATHEMATICAL statistics, *DATA editing

Modeling post-holiday surge in COVID-19 cases in Pennsylvania counties.

Autoren: Ren, Benny Hwang, Wei-Ting

Quelle: PLoS ONE; 12/19/2022, Vol. 17 Issue 12, p1-19, 19p

Schlagwörter: COVID-19 pandemic, COMMUNICABLE diseases, GENERALIZED estimating equations, POISSON regression, INFECTIOUS disease transmission

Geografische Kategorien: PENNSYLVANIA

Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution

Autoren: Somnath Datta Steven M. Levy Tong Kang

Quelle: Biometrical Journal. 63:761-786

Schlagwörter: Fluorides, Models, Statistical, Humans, Computer Simulation, Poisson Distribution, 0101 mathematics, Child, Iowa, 01 natural sciences

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/33393147
https://europepmc.org/article/MED/33393147
https://www.ncbi.nlm.nih.gov/pubmed/33393147
http://www.ncbi.nlm.nih.gov/pubmed/33393147
https://onlinelibrary.wiley.com/doi/10.1002/bimj.202000061

Sample size calculation for cluster randomized trials with zero‐inflated count outcomes.

Autoren: Zhou, Zhengyang Li, Dateng Zhang, Song

Quelle: Statistics in Medicine; 5/30/2022, Vol. 41 Issue 12, p2191-2204, 14p

Schlagwörter: CLUSTER randomized controlled trials, POISSON regression, CLUSTER sampling, SAMPLE size (Statistics), NEGATIVE binomial distribution, PUBLIC health research, REGRESSION analysis

Scalable and robust latent trajectory class analysis using artificial likelihood.

Autoren: Hart, Kari R. Fei, Teng Hanfelt, John J.

Quelle: Biometrics; Sep2021, Vol. 77 Issue 3, p1118-1128, 11p

Schlagwörter: LATENT class analysis (Statistics), PARAMETRIC modeling, PANEL analysis, GENERALIZED estimating equations, HUMAN research subjects, PARTICIPANT observation

Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering.

Autoren: Yang, Congyuan Priebe, Carey E. Park, Youngser et al.

Quelle: Journal of Computational & Graphical Statistics; Apr-Jun2021, Vol. 30 Issue 2, p422-441, 20p

Schlagwörter: STOCHASTIC models, ALGORITHMS

Marginal logistic regression with a cure fraction in a cluster design: An application in dental traumatology

Autoren: Enrico Antônio Colosimo null Eduardo Fernandes e Silva null Juliana Vilela Bastos

Quelle: Brazilian Journal of Biometrics. 40

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, 0101 mathematics, 01 natural sciences

Robust inference in the multilevel zero-inflated negative binomial model.

Autoren: Zandkarimi, Eghbal Moghimbeigi, Abbas Mahjub, Hossein et al.

Quelle: Journal of Applied Statistics; Feb2020, Vol. 47 Issue 2, p287-305, 19p, 9 Charts, 2 Graphs

Schlagwörter: EXPECTATION-maximization algorithms, EQUATIONS, ALGORITHMS, DISPERSAL (Ecology)

Marginal regression analysis of recurrent events with coarsened censoring times.

Autoren: Hu, X. Joan Rosychuk, Rhonda J.

Quelle: Biometrics; Dec2016, Vol. 72 Issue 4, p1113-1122, 10p

Schlagwörter: REGRESSION analysis, CENSORING (Statistics), CHILD mental health services, DATA analysis, EMERGENCY medical services