The present study aimed to investigate the expression and prognostic significance of insulin-like growth factor binding protein 6 (IGFBP-6) in gastric adenocarcinoma. The expression of IGFBP-6 was examined in 263 specimens from gastric adenocarcinoma patients using reverse transcription-quantitative polymerase chain reaction (RT-qPCR), western blotting and immunohistochemical (IHC) staining. Th...

Description This package includes functions to create model selection tables based on Akaike’s information criterion (AIC) and the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc). Tables are printed with delta AIC and Akaike weights. The package also features functions to conduct classic model averaging (multimodel inference) for a given parameter of intere...

In this article we propose a general class of risk measures which can be used for data based evaluation of parametric models. The loss function is defined as generalized quadratic distance between the true density and the proposed model. These distances are characterized by a simple quadratic form structure that is adaptable through the choice of a nonnegative definite kernel and a bandwidth pa...

Bayesian predictive densities are used to derive model selection rules. The resulting rules hold for sets of data records where each record is composed of an unknown number of deterministic signals common to all the records and a stationary white Gaussian noise. To determine the correct model, the set of data records is partitioned into two disjoint subsets. One of the subsets is used for estim...

BACKGROUND AND OBJECTIVE Cox model is a popular model in survival analysis, which assumes linearity of the covariate on the log hazard function, While continuous covariates can affect the hazard through more complicated nonlinear functional forms and therefore, Cox models with continuous covariates are prone to misspecification due to not fitting the correct functional form for continuous covar...

The measurements of expansion rate H(z) and the growth fσ8(z) describe evolution universe, both them can constrain cosmological models through data analysis. Due to lack points, these datasets are combined by traditional method (χ2 method) select a best-fitting model. In 2017, Linder proposed joint method, which describes universe H(z)−fσ8 diagram instead redshift z. Compared individual dataset...

The geometric process (GP) is a stochastic that was an extension of the renewal process. It introduced by Lam (1988) in 1988 with intention to model failure repairable system whose times between failures become shorter and after repairs repair longer longer. GP has been widely studied literature reliability maintenance applied optimisation policies. Some authors have proposed various versions i...

There are three principle paradigms of statistical inference: (i) Bayesian, (ii) information-based and (iii) frequentist inference [1, 2]. We describe an objective prior (the weighting or w-prior) which unifies objective Bayes and information-based inference. The w-prior is chosen to make the marginal probability an unbiased estimator of the predictive performance of the model. This definition ...

In wild waterfowl, poor winter body condition may negatively affect migration, survival, and reproduction. Environmental contaminants have been shown to adversely affect the body condition of captive birds, but few field studies have examined body condition and contaminants in wild birds during the winter. We assessed the body condition of carcasses from a collection of canvasbacks (Aythya vali...