Now showing items 1-3 of 3
stpm: an R package for stochastic process model.
(BMC Bioinformatics, 2017-02-23)
BACKGROUND: The Stochastic Process Model (SPM) represents a general framework for modeling the joint evolution of repeatedly measured variables and time-to-event outcomes observed in longitudinal studies, i.e., SPM relates ...
Cardiovascular comorbidities and survival of lung cancer patients: Medicare data based analysis.
(Lung Cancer, 2017-06-05)
OBJECTIVES: To evaluate the role of cardiovascular disease (CVD) comorbidity in survival of patients with non-small cell lung cancer (NSCLC). MATERIALS AND METHODS: The impact of seven CVDs (at the time of NSCLC diagnosis ...
Theory of partitioning of disease prevalence and mortality in observational data.
(Theor Popul Biol, 2017-04)
In this study, we present a new theory of partitioning of disease prevalence and incidence-based mortality and demonstrate how this theory practically works for analyses of Medicare data. In the theory, the prevalence of ...