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Logistic regression models for predictors of transactional sex.
Logistic regression models for predictors of transactional sex. -
Demographic characteristics of the participants.
Fallers are patient who declared at least one fall in the six previous months. No statistically significant difference was found between the two population regarding age,... -
Multivariate logistic regression analysis of associated possible correlates f...
Multivariate logistic regression analysis of associated possible correlates for West Nile virus in subjects in Israel. -
Hazard ratios (95% CIs) for type 2 diabetes according to deciles of the overa...
Hazard ratios (95% CIs) for type 2 diabetes according to deciles of the overall plant-based diet Index. -
Seroprevalence of severe fever with thrombocytopenia syndrome virus in China:...
ObjectiveSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease caused by a novel bunyavirus-SFTSV. The seroprevalence of anti-SFTSV antibodies... -
Length/height for age Z-scores (HAZ), weight for length/height Z-scores (WHZ)...
Length/height for age Z-scores (HAZ), weight for length/height Z-scores (WHZ), and weight for age Z-scores (WAZ) in children aged 6–59 months. -
Study dataset.
Compliance with NPG checklist items: data dictionary available in project space. In version 2, 7 errors from the previous version at database lock (publication date for PMID... -
Change in inflammatory parameters in prefrail and frail persons obtaining phy...
The aim of the study was to compare the effects of home visits with physical training and nutritional support on inflammatory parameters to home visits with social support alone... -
Characteristics of participants and univariate logistic regression analysis s...
Characteristics of participants and univariate logistic regression analysis showing predictors of willingness to participate (WTP) in a dengue study (good vs. poor) (n = 535). -
A Self-Adaptive Deep Learning Method for Automated Eye Laterality Detection B...
The data for "A Self-Adaptive Deep Learning Method for Automated Eye Laterality Detection Based on Color Fundus Photography", including original image data and labels,... -
Demographic data
**P<0.01; SD, standard deviation; Max/Min, maximal/minimal.The number of participants did not differ between genders (Chi-square P>0.05). The dancer and pianist groups... -
r37980778c78--fc3a27234d3ccbd1b1509d121378b289
Presence of prophages in the isolates of L. monocytogenes and Listeria spp. -
Baseline demographic characteristics of Building Bridges program participants...
Baseline demographic characteristics of Building Bridges program participants, by geographic origin, Fort Worth, Texas, March 2014 –September 2018 (N = 874). -
r37980778c78--3fec30e4a722c41c9c2b47af4dca7790
Cerebrospinal fluid and serum concentrations of cytokines/chemokines in patients in the early meningoencephalitic phase of tick-borne encephalitis who were receiving and who... -
r37980778c78--6524e3238076ef8550f1ecb1d4d553dd
IntroductionAcute kidney injury is associated with a poor prognosis in acute liver failure but little is known of outcomes in patients undergoing transplantation for acute liver... -
Posterior means, 95% credible intervals (CIs) and prior distributions of esti...
Parameters given for the distributions are the lower and upper bound for (Log-)uniform distributions, and mean and standard deviation for (Log-)normal distributions. Durations... -
r37980778c78--60b0c2f5ca00b1e50174ab1db3fa2ecd
Exposures significantly associated with cholera infection, KatweVillage, south-western Uganda, June–July 2015.
