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Posterior mode estimation in dynamic generalized linear mixed models. (REVISED, June 2000) [PDF]
, 1997 Dynamic generalized linear mixed models for longitudinal data combine the generalized linear mixed model and the dynamic generalized linear model dealing with the case that both unit- and time-specific parameters are allowed.
Biller, Clemens
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Generalized Linear Mixed Models: Part II
, 2021 As mentioned in Sect. 3.4, the likelihood function under a GLMM typically involves integrals with no analytic expressions. Such integrals may be difficult to evaluate, if the dimensions of the integrals are high. For relatively simple models, the likelihood function may be evaluated by numerical integration techniques.
Jiming Jiang, Thuan Nguyen
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Penalized additive regression for space-time data: a Bayesian perspective [PDF]
, 2003 We propose extensions of penalized spline generalized additive models for analysing space-time regression data and study them from a Bayesian perspective.
Fahrmeir, Ludwig +2 more
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Bayesian hierarchical models and prior elicitation for fitting psychometric functions
Frontiers in Computational Neuroscience, 2023 Our previous articles demonstrated how to analyze psychophysical data from a group of participants using generalized linear mixed models (GLMM) and two-level methods.
Maura Mezzetti +7 more
doaj +1 more source
BMC Pregnancy and Childbirth, 2022 Background Although antenatal care has the potential role to reduce maternal and child morbidity and mortality, utilization of a recommended number of antenatal care visits is still low in Ethiopia.
Hiwotie Getaneh Ayalew +2 more
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Zhongguo gonggong weisheng, 2023 Objective To evaluate the relationship between local rainfall and frailty in the elderly. MethodsThe information on 10 424 elderly aged 65 years and above were extracted from four rounds of the Chinese Longitudinal Healthy Longevity Survey (CLHLS ...
Fenfen ZHOU, Wensu ZHOU, Wenjuan WANG
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Fence methods for mixed model selection
, 2008 Many model search strategies involve trading off model fit with model complexity in a penalized goodness of fit measure. Asymptotic properties for these types of procedures in settings like linear regression and ARMA time series have been studied, but ...
Gu, Zhonghua +3 more
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A Note on the Identifiability of Generalized Linear Mixed Models [PDF]
, 2014 I present here a simple proof that, under general regularity conditions, the standard parametrization of generalized linear mixed model is identifiable.
Labouriau, Rodrigo
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Cognitive and psychological difficulties could negatively interfere with treatment adherence and quality of life before and after hematopoietic stem cell transplant (HSCT). Methods to mitigate these changes may have positive effects on treatment success.
Kristen L. Votruba +11 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source