Traditional eye medicine use in microbial keratitis in Uganda: a mixed methods study
Simon ArungaAllen AsiimweEunice Apio OletGrace Kagoro‐RugundaBosco AyebazibweJohn OnyangoRobert NewtonAstrid LeckDavid MacleodVictor H. HuJanet SeeleyMatthew J. Burton
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In order to analysis the influencing factors of personal credit scoring,regarding the personal credit risk as the research object.A bank personal credit data was used,and the Adaptive Lasso-Logistic regression model was adopted to analysis the influencing factors of personal credit risk from consumers.What is more,we compare this model with the traditional Logistic model and the Lasso-Logistic model.Regarding the proportion of correct classification results of ’good’ or ’bad’ consumers as the main measure,the result comparing with the traditional Logistic regression model and Lasso-Logistic regression model,shows that using the adaptive Lasso-Logistic regression model to establish the personal credit scoring model is superior to the traditional Logistic model and Lasso-Logistic model on variable selection and variable explanation and prediction accuracy.
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In this research we investigated the incidence of Bronchopulmonary Dysplasia among Infants using modeling approach. The data used were obtained from University of Maiduguri Teaching Hospital (UMTH), Maiduguri and Usmanu Danfodiyo University Teaching Hospital (UDUTH) Sokoto with sample size of Seventy (70) patients in 2014. Fifty (50) patients were from Maiduguri and Twenty (20) patients from Sokoto. Logistic regression model was employed for the analysis with the help of SPSS. The result of the analysis indicates that the logistic regression model has a perfect classification of five new cases in Sokoto while it has misclassified two 0f five new cases in Maiduguri. This result shows that the prediction of Broncho-Pulmonary Dysplasia is moderately done with logistic model in Maiduguri and is more preferred for the same purpose in Sokoto. The study recommends that Doctors and Clinics should adopt the use of the model built by this research to detect the prevalence of BPD among Infants.
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The prelims comprise: The aim of logistic regression The logistic model Using Stata for logistic regression analysis The receiver operating characteristic curve Indicator variables in logistic regression Testing the linear trend Evaluating how well the logistic model fits the data Using Stata to compute sensitivity and specificity Key points in evaluating a logistic model
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In this paper, we compare logistic regression and 2 other classification methods in predicting hypertension given the genotype information. We use logistic regression analysis in the first step to detect significant single-nucleotide polymorphisms (SNPs). In the second step, we use the significant SNPs with logistic regression, support vector machines (SVMs), and a newly developed permanental classification method for prediction purposes. We also detect rare variants and investigate their impact on prediction. Our results show that SVMs and permanental classification both outperform logistic regression, and they are comparable in predicting hypertension status.
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Purpose: To investigate the efficacy of a computerized visual acuity test, the SNU visual acuity test for children.Methods: Fifty-six children, ranging from 1 to 5 years of age, were included.In a dark room, children gazed at and followed a circular dot with 50% contrast moving at a fixed velocity of 10 pixels/sec on a computer monitor.Eye movement was captured using a charge coupled device camera and was expressed as coordinates on a graph.Movements of the eye and dot were superimposed on a graph and analyzed.Minimum visualized dot diameters were compared to the Teller visual acuity.Results: Ten eyes (8.9%) of six children failed to perform the Teller visual acuity test, and two eyes (1.8%) of one patient failed to perform the SNU visual acuity test.The observed Teller visual acuity and SNU visual acuity were significantly correlated (p <0.001).Visual angle degrees converted from the Teller visual acuity and SNU visual acuity were also significantly correlated (p < 0.001). Conclusion:The SNU visual acuity using moving targets correlated well with Teller visual acuity and was more applicable than the Teller acuity test.Therefore, the SNU visual acuity test has potential clinical applications for children.
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Logistic regression has been recognized as a commonly used method in epidemiological studies. However, in practice, many people only consider 'data' rather than 'study design' as important issue when working on the analysis, which may easily lead to some misleading results and conclusions. Based on the purpose of observational research during the design of the study, this paper discusses the specific ideas in logistic regression analysis, and provides references for the practical application when logistic regression method is used.Logistic回归是流行病学研究中常用的方法，然而在实际分析时往往只考虑数据，而不考虑设计，容易导致一些误导性结果和结论。本文主要结合观察性研究的设计目的，探讨logistic回归分析中的具体思路，为logistic回归的实际应用提供借鉴。.
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