- Thursday, January 1, 2004
- Published at:Not Found
- A survey of random sample of physicians and pharmacists in north Palestine was carried out to ascertain the factors that influence their decisions when selecting a drug for a patient. Of the four hundred (400) questionnaire distributed, two hundred and fourteen (214) were filled correctly and returned giving a response rate of approximately 56%. The ten factors which had the greatest influence on drug selection were as follows in ranking order: active ingredients, evidence of product efficacy, patient characteristics, presence of side effects for the drug, successful self use of product, product abuse potential, confidence in manufacturer, availability of product in community pharmacies, cost of drug for the patient and range of dosage forms available for the product. Commercial factors like profitability, number of medical samples and personal relations with manufacturers have slight influence on the drug selection by physicians and pharmacists. The results of this short communication suggest that selection
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- Wednesday, January 1, 2003
- Published at:Not Found
- Given independent multivariate random samples X1, X2,.... , and Y1, Y2,..... , from distributions F and G, a test is desired for Ho: F = G against general alternatives. Consider the k • (n1+n2) possible ways of choosing one observation from the combined samples and then one of its k nearest neighbors, and let Sk be the proportion of these choices in which the point and neighbor are in the same sample. SCHILLING proposed Sk as a test statistic, but did not indicate how to determine k. BARAKAT, QUADE, and SALAMA proposed a test statistic, which is equivalent to a sum of N Wilkoxon rank sums. The limiting distribution of the test has not been found yet. We suggest as a test statistic Tm = S Sh(m,j)و Where h (m,j) = I{jth nearest neighbor of the median m is a y}. The limiting distribution of Tm is normal. A simulation with multivariate normal data suggests that our test is generally more powerful than Schilling’s test using k = 1, 2 or 3.
An-Najah University Journal for Research -
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- Thursday, August 1, 1991
- Published at:American Journal of Public Health, Vol. 81, No. 8
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Background: Although maternal employment is considered a risk factor for low birth weight (LBW), the manner in which employment might affect birth weight is poorly understood. In this analysis, selected characteristics of employment during pregnancy were examined for effects on pregnancy outcomes. Methods: Work characteristics included the number of hours per week, physical activities, and environmental conditions. The outcomes of interest were fetal growth retardation (<2500 grams at term) and preterm delivery (<37 weeks). The study population consisted of 2711 non-Black, married mothers who participated in the 1980 National Natality Survey (NNS). The NNS data were merged with data from the 1m revision of The Dictionary of Occupational Titles (DOT) from which measures of occupational physical activities and environmental exposures were obtained. Logistic regression was used in the analysis. Results: Those who worked 40 or more hours per week were more likely than women who worked fewer hours to have
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