BACKGROUND Malnutrition, especially under nutrition puts children at increased risk of morbidity and mortality and remains a serious barrier in child growth, development and survival. This is a major public health problem among under- 5 children in Nepal particularly in rural areas. OBJECTIVE To assess the burden and contributing factors for malnutrition in hill community of Ilam district in ...

OBJECTIVE To determine perceptions of acceptable conducts amongst under and postgraduate optometry students and to compare them with students from other disciplines. METHODS Students (under/postgraduate) of optometry (n=156) and other courses (n=54) from University of Minho participated in a voluntary online questionnaire about perception of conducts, classifying as acceptable or unacceptable...

Binary outcomes that depend on an ordinal predictor in a nonmonotonic way are common in medical data analysis. Such patterns can be addressed in terms of cutpoints: for example, one looks for two cutpoints that define an interval in the range of the ordinal predictor for which the probability of a positive outcome is particularly high (or low). A chi-square test may then be performed to compare...

Computer simulation has become an important tool in teaching statistics. Teaching using computer would enhance the understanding of concept visual illustrations. This paper describes how to use R-programming language perform a chi-square test. We try show distribution most commonly used statistics we often found statistical methods both derivation and simulation. In such cases as test independe...

Here we show that the one-sided chi-square test used for evaluating the significance of the overlap between the RH network and other existing datasets and the Bayesian loglikelihood score (LLS) approach used for integrating diverse datasets [1,2] are closely related. The Fisher’s exact test was used instead of the chi-square test when the expected value in a cell of the contingency table was ≤ ...

I investigate the use of Pearson’s chi-square statistic, the Maximum Likelihood Ratio statistic for Poisson distributions, and the chi-square-gamma statistic (Mighell 1999, ApJ, 518, 380) for the determination of the goodness-of-fit between theoretical models and low-count Poisson-distributed data. I demonstrate that these statistics should not be used to determine the goodness-of-fit with data...