background: stroke is one of the leading causes of mortality and long-term morbidity. the aim of the present study was to determine the ability of baseline serum c-reactive protein (crp) and white blood cell count (wbc) values in predicting the outcome of acute ischemic stroke (ais). methods: this study consisted of patients with first ais referred to poursina hospital, rasht, iran. severity of...

BACKGROUND The weighted estimators generally used for analyzing case-cohort studies are not fully efficient and naive estimates of the predictive ability of a model from case-cohort data depend on the subcohort size. However, case-cohort studies represent a special type of incomplete data, and methods for analyzing incomplete data should be appropriate, in particular multiple imputation (MI). ...

larger tumor burden leads to higher serum ca-125 levels and the ability to perform optimal tumor cytoreduction of advanced ovarian cancer is also a function of tumor bulk. the purpose of this study was to identify the ability of preoperative serum ca-125 to predict possibility of optimal primary tumor cytoreduction in epithelial ovarian carcinoma (eoc). a total of 90 patients with eoc were eval...

Model predictive controller is widely used in industrial plants. Uncertainty is one of the critical issues in real systems. In this paper, the direct adaptive Simplified Model Predictive Control (SMPC) is proposed for unknown or time varying plants with uncertainties. By estimating the plant step response in each sample, the controller is designed and the controller coefficients are directly ca...

Predicting organismal phenotypes from genotype data is important for plant and animal breeding, medicine, and evolutionary biology. Genomic-based phenotype prediction has been applied for single-nucleotide polymorphism (SNP) genotyping platforms, but not using complete genome sequences. Here, we report genomic prediction for starvation stress resistance and startle response in Drosophila melano...

We propose a sequential test for predictive ability. The test is designed for regressions in which the researcher is interested in recursively assessing whether some economic variables have predictive or explanatory content for another variable. It is common in the forecasting literature to assess predictive ability by using “one-shot” tests at each estimation period. We show that this practice...