Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nazanin Nooraee"'
Publikováno v:
Communications in Statistics: Simulation and Computation, 51(5), 2318-2342. Taylor and Francis Ltd.
The robustness of the t linear mixed model (tLMM) has been proved and exploited in many applications. Various publications emerged with the aim of proving superiority with respect to traditional linear mixed models, extending to more general settings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b0aab02c40f8812d0f9e0171bfeab2f
https://doi.org/10.1080/03610918.2019.1694153
https://doi.org/10.1080/03610918.2019.1694153
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031312335
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dea260e42752658f5fb18719f0f1a29e
https://doi.org/10.1007/978-3-031-31234-2_7
https://doi.org/10.1007/978-3-031-31234-2_7
Publikováno v:
Biometrics, 72(1), 253-261. Wiley-Blackwell
Subject-specific and marginal models have been developed for the analysis of longitudinal ordinal data. Subject-specific models often lack a population-average interpretation of the model parameters due to the conditional formulation of random interc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ab95fb912b948c0c455ab2930df9ba1
https://research.rug.nl/en/publications/da4d2e9b-8ffa-4259-b147-b88b80b00586
https://research.rug.nl/en/publications/da4d2e9b-8ffa-4259-b147-b88b80b00586
Publikováno v:
Journal of Statistical Computation and Simulation, 88(17), 3415-3436. Taylor & Francis Group
Journal of Statistical Computation and Simulation, 88(17), 3415-3436. Taylor and Francis Ltd.
Journal of Statistical Computation and Simulation, 88(17), 3415-3436. Taylor and Francis Ltd.
Missing data methods, maximum likelihood estimation (MLE) and multiple imputation (MI), for longitudinal questionnaire data were investigated via simulation. Predictive mean matching (PMM) was applied at both item and scale levels, logistic regressio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bab8da94c03804295ba2f4cc556f7595
http://hdl.handle.net/1942/28833
http://hdl.handle.net/1942/28833
Publikováno v:
Plastic and Reconstructive Surgery, 134(3), 483-490. LIPPINCOTT WILLIAMS & WILKINS
BACKGROUND: Dupuytren disease affects fingers in a variable fashion. Knowledge about specific disease patterns (phenotype) based on location and severity of the disease is lacking.METHODS: In this cross-sectional study, 344 primary affected hands wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::429918839b57a0f6a92b4a96eb389d3f
https://research.rug.nl/en/publications/0c9ef432-20e6-4191-a523-661764666a57
https://research.rug.nl/en/publications/0c9ef432-20e6-4191-a523-661764666a57
GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN
Publikováno v:
Computational Statistics & Data Analysis, 77, 70-83. ELSEVIER SCIENCE BV
Studies in epidemiology and social sciences are often longitudinal and outcome measures are frequently obtained by questionnaires in ordinal scales. To understand the relationship between explanatory variables and outcome measures, generalized estima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bab0736530e7069e9215505852266b91
http://hdl.handle.net/1942/17041
http://hdl.handle.net/1942/17041
Publikováno v:
Advances in Degradation Modeling ISBN: 9780817649234
In this chapter we review the estimation of survival function based on the general path model, with noise that is studied by Bagdonavicius and Nikulin (Lifetime Data Analysis 10: 65–81, 2004). We also discuss the nonparametric, semi-parametric, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::019a2703f04548e78ecf6b9faa3a11e2
https://doi.org/10.1007/978-0-8176-4924-1_10
https://doi.org/10.1007/978-0-8176-4924-1_10