The coxian phase-type distribution as a contribution to the multilevel model of in-hospital mortality [PDF]
ABSTRACTThis paper presents multilevel models that utilize the Coxian phase-type distribution in order to be able to include a survival component in the model. The approach is demonstrated by modeling patient length of stay and in-hospital mortality in geriatric wards in Italy.
Zenga, M. +3 more
openaire +4 more sources
This paper presents analytically explicit results for the distribution of the number of customers served during a busy period for special cases of the M/G/1 queues when initiated with m customers.
M. L. Chaudhry, Veena Goswami
doaj +2 more sources
A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Clare A. McGrory +2 more
openaire +6 more sources
Study design for restricted mean time analysis of recurrent events and death. [PDF]
Abstract The restricted mean time in favor (RMT‐IF) of treatment has just been added to the analytic toolbox for composite endpoints of recurrent events and death. To help practitioners design new trials based on this method, we develop tools to calculate the sample size and power.
Mao L.
europepmc +2 more sources
Characterizing Coxian Distributions of Algebraic Degree q and Triangular Order p [PDF]
In this research note we present a procedure to characterize the set of all Coxian distributions of algebraic degree q that have Coxian representations of order p where p > q.
Fackrell, Mark
openaire +5 more sources
Prediction and Analysis of Length of Stay Based on Nonlinear Weighted XGBoost Algorithm in Hospital.
An improved nonlinear weighted extreme gradient boosting (XGBoost) technique is developed to forecast length of stay for patients with imbalance data. The algorithm first chooses an effective technique for fitting the duration of stay and determining the distribution law and then optimizes the negative log likelihood loss function using a heuristic ...
Chen Y.
europepmc +2 more sources
Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes. [PDF]
The Coxian phase‐type models and the joint models of longitudinal and event time have been extensively used in the studies of medical outcome data. Coxian phase‐type models have the finite‐jump property while the joint models usually assume a continuous variation. The gap between continuity and discreteness makes the two models rarely used together. In
Zheng Y, Zhao X, Zhang X.
europepmc +2 more sources
Computing the expected cost of an appointment schedule for statistically identical customers with probabilistic service times. [PDF]
A cogent method is presented for computing the expected cost of an appointment schedule where customers are statistically identical, the service time distribution has known mean and variance, and customer no‐shows occur with time‐dependent probability.
Dietz DC.
europepmc +2 more sources
Why and how ontology matters: A cartography of neoliberalism(s) and neoliberalization(s)
Abstract In this article, I discuss the importance of ontology and its implications, demonstrated in the examples of different approaches to neoliberalism. The lack of careful ontological considerations leads to confusing and often contradictory usages of the term ‘neoliberalism’, obfuscating its usefulness.
Karim Knio
wiley +1 more source
Learning body part‐based pose lexicons for semantic action recognition
Abstract Semantic action recognition aims to classify actions based on the associated semantics, which can be applied in video captioning and human‐machine interaction. In this paper the problem is addressed by jointly learning multiple pose lexicons based on multiple body parts. Specifically, multiple visual pose models are learnt, and one visual pose
Lijuan Zhou, Tao Jiang
wiley +1 more source

