– Assessment of the quality of the logistic regression model is central to the conclusion. Application of logistic regression modeling techniques without subsequent performance analysis regarding predictive ability of the fitted model can result in poorly fitting results that inaccurately predict outcomes on new subjects. It is not unusual for statisticians to check fitted model with validation...

In clinical research, an understanding of prognostic factors is important in the design and analysis of clinical trials and retrospective reviews of clinical experience. The results of prognostic factor studies are usually summarized in the form of statistics resulting from statistical significance testing, i.e. estimated parameters, confidence intervals, and p-values. These statistics do not i...

The conventional criteria for predictive model selection do not indicate the absolute goodness of models. For example, the quantity of Akaike Information Criterion (AIC) has meanings only when we compare AIC of different models for a given amount of data. Thus, the existing criteria do not tell us whether the quantity and quality of data is satisfactory, and hence we cannot judge whether we sho...

In this paper, photovoltaic (PV) grid-connected inverter which is the core device in PV grid-connected system has been in depth research.An improved predictive current controller has been developed by the Authors for single-phase grid-connected voltage source inverters (VSI).Based on DSP TMS320LF2407A, a 10 kW single-phase grid-connected inverter has been built in this paper.Thus is aimed at us...

This paper presents analytical, Monte Carlo, and empirical evidence linking insample tests of predictive content and out-of-sample forecast accuracy. Our approach focuses on the negative effect that finite-sample estimation error has on forecast accuracy despite the presence of significant population-level predictive content. Specifically, we derive simple-to-use in-sample tests that test not o...

Stroke is an important cause of morbidity and mortality as well as functional impairment particularly in the elderly people (1). Prediction of stroke outcome in high risk patients by appropriate marker and application of preventive measures may delay or prevent development of irreversible brain damage and subsequent functional impairment (2). Development of stroke is the result of longstanding ...

Although selection tests are typically validated against only a single criterion, calls in the personnel selection literature urge the examination of selection devices across multiple criteria. This study examined biodata criterion-related validity across multiple performance criteria in a sample of 6,036 automated systems controller applicants. The performance measures examined included a pape...

Any proper operation could be translated as a constrained optimization problem inside a WWTP, whose nonlinear behavior renders its control problems quite attractive for performance of multivariable optimization–based control technique algorithms, such as NMPC. The main advantage of this control technique lies in its ability to handle model nonlinearity as well as various types of constraints on...

Background: The low density lipoprotein cholestrol (LDL-C) has an important role in the pathogenesis of cardiovascular disease but its association and predictive accuracy with metabolic syndrome (MetS) remains controversial. The objective of this study was to investigate the association and predictive ability of LDL-C with MetS. Methods: We analyzed the data from a population-based cross-secti...