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Power comparison of Rao′s score test, the Wald test and the likelihood ratio test in (2xc) contingency tables

References Chandra T.K., Joshi S.N. (1983): Comparison of likelihood ratio, Rao’s and Wald’s tests and a conjecture of C.R. Rao. Sankhya A, 45: 226-246. Fox J. (1997): Applied regression analysis, linear models, and related methods. Thousand Oaks, CA, US: Sage Publications, Inc. Li B. (2001): Sensitivity of Rao’s score test, the Wald test and the likelihood ratio test to nuisance parameters. J. Statistical Planning and Inference 97: 57-66. Madansky A. (1989): A comparison of the Likelihood Ratio

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Utility of electronic medical recordbased fibrosis scores in predicting advanced cirrhosis in patients with hepatitic C virus infection

, dedicated patient visits, and is therefore not easily applicable to large patient populations. In recent years, a number of serum-based fibrosis tests have been developed and validated. Many studies have reported reasonable performance characteristics and good agreement with biopsy or elastography data.[ 4 , 5 ] With the advent of electronic medical record systems, fibrosis scores can be easily calculated after extracting the pertinent test results for each patient. This process does not require additional patient visits, and can be applied to large patient cohorts. As

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Body Condition Scoring and Obesity in Captive African Side-Neck Turtles (Pelomedusidae)

References Carroll C.L., Huntington P.J. (1988). Body condition scoring and weight estimation of horses. Equine Vet. J., 20: 41–45. Courcier E.A., Mellor D.J., Pendlebury E., Evans C., Yam P.S. (2012). Preliminary investigation to establish prevalence and risk factors for being overweight in pet rabbits in Great Britain. Vet. Rec., 171: 197–197. Edmonson A.J., Lean I.J., Weaver L.D., Farver T., Webster G. (1989). A body condition scoring chart for Holstein dairy cows. J. Dairy Sci., 72: 68–78. Fritz U., Branch W.R., Hofmeyr M.D., Maran J., Prokop H

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Hepatic encephalopathy in liver cirrhosis

Introduction Liver cir rhosis (LC) is a common gastroenterological pathology among adults. Its aetiological factors are: alcohol abuse, hepatitis B infection, hepatitis C infection, non-alcoholic fatty liver disease, non-alcoholic steatohepatitis and others.[ 1 , 2 ] Cirrhosis with multiple-aetiologies are more susceptible of developing multiple organ failures, predominantly kidney, brain, heart and others.[ 1 , 3 ] This disease can be classified using several methods and these cases will be focusing on Halstead-Reitan and Child-Pugh score classification

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A Clustering Of Listed Companies Considering Corporate Governance And Financial Variables

References [1] Tobin, J: A General Equilibrium Approach To Monetary Theory. Journal of Money, Credit and Banking (1) pp.15–29 (1969) [2] Altman, E. I., Saunders, A.: Credit risk measurement: Developments over the last 20 years. Journal of banking & finance, 21(11), pp. 1721-1742 (1997). [3] Weimin Chen, Guocheng Xiang, Youjin Liu, Kexi Wang, Credit risk Evaluation by hybrid data mining technique, Systems Engineering Procedia, 3 (2012) [4] Kambal, E.; Osman, I.; Taha, M.; Mohammed, N.; Mohammed, S. Credit scoring using data mining

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Investigating Post-partum Ovarian Cyclicity Following Various Treatments in Dairy Cows

References 1. Cerri, R.L.A., Santos, J.E.P., & Juchem. S.O., Galvao, K.N., Chebel, R.C. (2004). Timed artificial insemination with estradiol cypionate or insemination at estrus in high-producing dairy cows. Journal of Dairy Science, 87(11), 3704-3715. 2. Edmonson, A.J., Lean, I.J., Weaver, L.D., Farver, T. and Webster, G. (1989). A body condition scoring chart of Holstein dairy cows. Journal of Dairy Science, 72(1), 68-78. 3. Kamimura, S., Ohgi, T., & Takahashi, M., Tsukamoto, T. (1993). Postpartum resumption of ovarian activity and uterine

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Adherence to Mediterranean diet and risk of depression later in life. A cross sectional study in East Attica, Greece

) to screen for depressive symptoms and to estimate the prevalence of depression in this particular population group. Patients with scores of 0–5 are considered normal; a score of 6–10 indicates moderate depression; and 11–15 indicates severe depression ( Fountoulakis et al., 1999 , Yesavage et al., 1982 ). In order to quantify the presence of sleep disturbances, the Athens Insomnia Scale (AIS-8 items) was administered to all the participants. Each item of the scale is rated 0–3 (0: no problem and 3: serious problem). Scores ≥ 6 indicate diagnosis of insomnia

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Correlation between neutrophil-to-lymphocyte ratio and severity scores in septic patients upon hospital admission. A series of 50 patients

REFERENCES 1. STEVENSON EK, RUBENSTEIN AR, RADIN GT, WIENER RS, WALKEY AJ. Two decades of mortality trends among patients with severe sepsis: a comparative meta-analysis *. Crit Care Med 2014; 42 : 625-31. 2. KNAUS WA, DRAPER EA, WAGNER DP, ZIMMERMAN JE. APACHE II: a severity of disease classification system . Crit Care Med 1985; 13 : 818-29. 3. VINCENT JL, MORENO R, TAKALA J, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of

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The Effect of Specific Sling Exercises on the Functional Movement Screen Score in Adolescent Volleyball Players: A Preliminary Study

evaluating motor control through functional movement and dynamic coordination analysis ( Cook et al., 2006a , b ). The FMS has also been used as an injury prediction tool in competitive athletes. Recent studies have shown that athletes with an FMS score under 14 were more likely to sustain an injury than their peers who received more than 14 points ( Kiesel et al., 2007 , 2011 ; Chorba et al., 2010 ). Another study has shown that, regardless of the score obtained in the FMS test, asymmetry in movements pointed to a more than 2-fold higher risk of injury ( Kiesel et al

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A Comparison of Wilson Sum Score and Combination Mallampati, Tiromental and Sternomental Distances for Predicting Difficult Intubation

References Nath G, Sekar M. Predicting difficult intubation - a comprehensive scoring system. Anaesth Intensive Care. 1997;25(5):482-6. PMID:9352759 el-Ganzouri AR, McCarthy RJ, Tuman KJ, Tanck EN, Ivankovich AD. Preoperative airway assessment. Predictive value of a multivariate risk index. Anesth Analg. 1996;82(6):1197-1204. PMID:8638791 Karkouti K, Rose DK, Wigglesworth D, Cohen MM. Predicting difficult intubation: a multivariable analysis. Can J Anaesth. 2000

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