logistic regression analyses
Elucidating Ubiquitin Chain Formation Catalyzed by E2 Enzymes through use of a Di Ubiquitin Probe
... Logistic Regression Table 6 and 7 displays the results of the logistic regression analyses conducted to examine the association between each predictor variable education and the categori[r] ...
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Deforestation modelling using logistic regression and GIS
... and logistic regression analyses were employed to predict the spatial distribution of deforestation and detects factors influencing forest degradation of Hyrcanian forests of western Gilan, ...The ...
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Factors Influencing the Composition of the Intestinal Microbiota in Early Infancy
... linear regression anal- yses were used to examine the effects of the determi- nants on the bacterial ...linear regression analyses, only infants who were colonized with the bac- terial group or ...
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Malnutrition among women in Bangladesh is a great concern for near future
... multinomial logistic regression analyses, the t, geographical region, respondent education, respondent working status, husband’s education, husband’s occupation, access to mass media, socio economic ...
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The influences of childlessness on the psychological well-being and social network of the oldest old
... these analyses the levels of housing were divided into two categories: living out in the com- munity or in institutional ...the logistic regres- sion analyses the levels of housing were divided into ...
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Original Article Analysis on the risk factors for septic shock following minimally invasive percutaneous nephrolithotomy
... multivariate logistic regression analyses were employed for clarification of the risk factors for post-PCNL septic shock, and the patients with the disease received active anti-infective and ...
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The Revitalization of the Community based Management of Acute Malnutrition Program in Haiti
... multivariate logistic regression analyses were conducted to determine associations between selected characteristics and main independent variables (emotional or social support and social support from ...
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Molecular identification of different trypanosome species and subspecies in tsetse flies of northern Nigeria
... The differences in prevalence between male and female flies of each of the three species of tsetse are shown in Table 2 for each trypanosome species detected as well as the categories “All trypanosomes” and T. congolense ...
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The effects of an integrated care intervention for the frail elderly on informal caregivers: a quasi-experimental study
... groups, regression analyses were performed. Linear re- gression analyses were used for the outcome variables perceived health, subjective burden, quality of life and amount of time spent, while ...
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Safety and tolerability of nevirapine based antiretroviral therapy in HIV infected patients receiving fluconazole for cryptococcal prophylaxis: a retrospective cohort study
... While logistic regression analyses in the present study show that receiving fluconazole was not predictive for any adverse events, receiving anti-tuberculous drugs was sig- nificantly predictive for ...
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Prevalence of HIV and syphilis co infection and associated factors among non commercial men who have sex with men attending a sexually transmitted disease clinic in Shenzhen, China
... Statistical analyses were performed in SPSS ...Univariable logistic regression analyses were performed to identify the bivariate relation- ships between the co-infection of HIV and syphilis, ...
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Search | Preprints
... Table 4: Results of two different binary logistic regression analyses with schizophrenia (versus healthy controls) and non- responders to treatment (NRTT) versus partial [r] ...
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Oral health behavior patterns among Tanzanian university students: a repeat cross-sectional survey
... multiple logistic regression analyses revealed that the age differences in soft drink consumption changed from 1999 to 2001, with younger (19–25-year-old) students being the most frequent con- sumers ...
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Childhood caries in the state of Kentucky, USA: a cross-sectional study
... and logistic regression analyses found that the most significant risk factors for having untreated caries were living in the metropolitan Louisville, Kentucky area, not having had a dental visit in ...
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Dying comfortably in very old age with or without dementia in different care settings – a representative “older old” population study
... univariate logistic regression analyses to be significantly associated with reported comfort during the final illness related to the place of end-of-life care and death, to transitions between these ...
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Dysfunctional Attitudes and Anxiety Sensitivity in the Manifestation and First Onset of Social Anxiety Disorder versus Specific Phobia and Healthy: A Prospective Longitudinal Study
... Multiple logistic regression analyses, adjusted for baseline anxiety and depressive severity, re- vealed that a) dysfunctional attitudes were elevated in women with current social an- xiety disorder ...
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Exploring the potential association between brominated diphenyl ethers, polychlorinated biphenyls, organochlorine pesticides, perfluorinated compounds, phthalates, and bisphenol a in polycystic ovary syndrome: a case–control study
... multivariable logistic regression analyses to explore associations between the concentrations of the chemicals (in μg/L for PFCs; lipid-adjusted for PCBs, OCPs and PBDEs and creatinine-adjusted for ...
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THE IMPACT OF SOCIOECONOMIC FACTORS ON SELECTED PRACTICES BY SMALL LIVESTOCK PRODUCERS IN GEORGIA
... binary logistic regression ...binary logistic regression analyses revealed that selected socioeconomic factors had statistically significant effects on selected practices; gender and ...
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Logistic regression for circular data
... The goodness of fit test used to determine how well a model fits a set of data. It compares the observed values with the predicted values. One of the measures used to do this test is the deviance. [21, p.12] and [20, ...
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Logistic regression applied to natural hazards: rare event logistic regression with replications
... susceptibility analyses By definition, model validation allows assessing the accu- racy and prediction power of a predictive ...susceptibility analyses, and a classification threshold or so-called cut-off ...
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