The rank and regression rank score tests of linear hypothesis in the linear regressionmodel are modified for measurement error models. The modified tests are still distribution free. Some tests of linear subhypotheses are invariant to the nuisance parameter, others are based on the aligned ranks using the R-estimators. The asymptotic relative efficiencies of tests with respect to tests in model...

evaluation and improvement of drug management process is essential for patient safety. the present study was performed whit the aim of assessing risk of drug management process in women surgery department of qeh using hfmea method in 2013. a mixed method was used to analys failure modes and their effects with hfmea. to classify failure modes; nursing errors in clinical management model, for cla...

Many regression analyses involve explanatory variables that are measured with error, and failing to account for this error is well known to lead to biased point and interval estimates of the regression coefficients. We present here a new general method for adjusting for covariate error. Our method consists of an approximate version of the Stefanski-Nakamura corrected score approach, using the m...

We give a new consistent scoring function for structure learning of Bayesian networks. In contrast to traditional approaches to score-based structure learning, such as BDeu or MDL, the complexity penalty that we propose is data-dependent and is given by the probability that a conditional independence test correctly shows that an edge cannot exist. What really distinguishes this new scoring func...

In medical studies, it is often of interest to characterize the relationship between a time-to-event and covariates, not only time-independent but also time-dependent. Time-dependent covariates are generally measured intermittently and with error. Recent interests focus on the proportional hazards framework, with longitudinal data jointly modeled through a mixed effects model. However, approach...

The ability of system software to detect and issue error messages that help programmers quickly fix serial and parallel run-time errors is an important productivity criterion for developing and maintaining application programs. Over ten thousand run-time error tests and a run-time error detection (RTED) evaluation tool have been developed for the automatic evaluation of run-time error detection...

This paper presents a method to elicit spelling error corpora using an online typing race game. After being tested for their native language, English-native participants were instructed to retype stimuli as quickly and as accurately as they could. The participants were informed that the system was keeping a score based on accuracy and speed, and that a high score would result in a position on a...

In genome-wide association studies of binary traits, investigators typically use logistic regression to test common variants for disease association within studies, and combine association results across studies using meta-analysis. For common variants, logistic regression tests are well calibrated, and meta-analysis of study-specific association results is only slightly less powerful than join...

The foetal pH values of eighty-eight cases delivered within 30 min after foetal blood sampling were correlated with the 1-min Apgar score. With a pH of 7.20 or above the error of prediction was 1'3%o. The error in cases with pH below 7.20 was 54'5/. Significantly higher pH and lower A base deficit were present in the low foetal pH group in vigorous, as opposed to depressed infants, suggesting t...

A Markov chain Monte Carlo (MCMC) method and a bootstrap method were compared in the estimation of standard errors of item response theory (IRT) true score equating. Three test form relationships were examined: parallel, tauequivalent, and congeneric. Data were simulated based on Reading Comprehension and Vocabulary tests of the Iowa Tests of Basic Skills1. For parallel and congeneric test form...