most citedModeling clustered non-stationary Poisson processes for stochastic simulation inputs

15 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP20149 cited

A predictive analytics approach to reducing avoidable hospital readmission

Issac Shams, Saeede Ajorlou, Kai Yang

Hospital readmission has become a critical metric of quality and cost of healthcare. Medicare anticipates that nearly $17 billion is paid out on the 20% of patients who are readmit…

stat.AP20143 cited

Predicting patient risk of readmission with frailty models in the Department of Veteran Affairs

Saeede Ajorlou, Issac Shams, Kai Yang

Reducing potentially preventable readmissions has been identified as an important issue for decreasing Medicare costs and improving quality of care provided by hospitals. Based on…

stat.AP20141 cited

A multivariate hierarchical Bayesian framework for healthcare predictions with application to medical home study in the Department of Veteran Affairs

Issac Shams, Saeede Ajorlou, Kai Yang

Recently the patient centered medical home (PCMH) model has become a popular approach to deliver better care to patients. Current research shows that the most important key for suc…

stat.AP20142 cited

Estimating Multiple Step Shifts in a Gaussian Process Mean with an Application to Phase I Control Chart Analysis

Issac Shams, Saeede Ajorlou, Kai Yang

In preliminary analysis of control charts, one may encounter multiple shifts and/or outliers especially with a large number of observations. The following paper addresses this prob…

stat.AP201415 cited

Modeling clustered non-stationary Poisson processes for stochastic simulation inputs

Issac Shams, Saeede Ajorlou, Kai Yang

A validated simulation model primarily requires performing an appropriate input analysis mainly by determining the behavior of real-world processes using probability distributions.…