نتایج جستجو برای: logistic analysis
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caesarean section (c-section) rates have been increasing dramatically in the past decades around the world. this increase has been attributed to multiple factors such as maternal, socio-demographic and institutional fac-tors. therefore, this study examines the impact of maternal, socio-demographic and relevant characteristics on caesar-ean delivery in the northern region of bangladesh.this stud...
fluorescent monitoring of dna amplification is the basis of real-time pcr. absolute quantification can be achieved using a standard curve method. the standard curve is constructed by amplifying known amounts of standards under identical conditions to that of the samples.the objective of the current study is to propose a mathematical model to assess the acceptability of pcr resulys.four commerci...
to investigate the effects of certain factors on the rate of retained placenta, 2844 calving records from 1288 holstein cows in a herd were used. these cows calved during year period of 2001 to 2007. a generalized statistical linear model was applied to analyze the data. logistic regression model was applied as the statistical model. in the model, fixed effects of year, season (warm or cold) an...
Social Thought & Research, Vol 28 Address all correspondence to: Mark Vermillion, Department of Kinesiology and Sport Studies, Sport Administration, Wichita State University, Wichita, KS 67260-0016 Tel: (316) 978-5444. Email: [email protected] The purpose of this research is to examine the relationship between sport participation and school defined deviance in eighth grade adolescents...
This chapter describes a tree-structured extension and generalization of the logistic regression method for fitting models to a binary-valued response variable. The technique overcomes a significant disadvantage of logistic regression, which is interpretability of the model in the face of multicollinearity and Simpson’s paradox. Section 1 summarizes the statistical theory underlying the logisti...
Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the associati...
background: unwanted pregnancy not intended by at least one of the parents has undesirable consequences for the family and the society. in the present study, three classification models were used and compared to predict unwanted pregnancies in an urban population. methods : in this cross-sectional study, 887 pregnant mothers referring to health centers in khorramabad, iran, in 2012 were selec...
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