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pro vyhledávání: '"Demarqui, Fábio N"'
Autor:
Demarqui, Fábio N.
In this paper we propose a novel R package, called rsurv, developed for general survival data simulation purposes. The package is built under a new approach to simulate survival data that depends heavily on the use of dplyr verbs. The proposed packag
Externí odkaz:
http://arxiv.org/abs/2406.01750
The life course perspective in criminology has become prominent last years, offering valuable insights into various patterns of criminal offending and pathways. The study of criminal trajectories aims to understand the beginning, persistence and desi
Externí odkaz:
http://arxiv.org/abs/2405.02666
Detection and modeling of change-points in time-series can be considerably challenging. In this paper we approach this problem by incorporating the class of Dynamic Generalized Linear Models (DGLM) into the well know class of Product Partition Models
Externí odkaz:
http://arxiv.org/abs/2103.02470
In this study, we present a new module built for users interested in a programming language similar to BUGS to fit a Bayesian model based on the piecewise exponential (PE) distribution. The module is an extension to the open-source program JAGS by wh
Externí odkaz:
http://arxiv.org/abs/2004.12359
The proportional hazards (PH), proportional odds (PO) and accelerated failure time (AFT) models have been widely used in different applications of survival analysis. Despite their popularity, these models are not suitable to handle lifetime data with
Externí odkaz:
http://arxiv.org/abs/1910.04475
Proportional hazards (PH), proportional odds (PO) and accelerated failure time (AFT) models have been widely used to deal with survival data in different fields of knowledge. Despite their popularity, such models are not suitable to handle survival d
Externí odkaz:
http://arxiv.org/abs/1910.02406
Generalized Estimation Equations (GEE) are a well-known method for the analysis of non-Gaussian longitudinal data. This method has computational simplicity and marginal parameter interpretation. However, in the presence of missing data, it is only va
Externí odkaz:
http://arxiv.org/abs/1506.04451
Generalized Estimation Equations (GEE) are a well-known method for the analysis of categorical longitudinal responses. GEE method has computational simplicity and population parameter interpretation. In the presence of missing data it is only valid u
Externí odkaz:
http://arxiv.org/abs/1506.04452
Publikováno v:
In Journal of Statistical Planning and Inference 2012 142(3):728-742
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