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The 40 plants (20 of each gender) selected for the reduced pollination treatments remained covered with mesh for the entire flowering season to exclude all insect pollination.
Demographical variables (age, gender), selected clinical diabetes-related variables, and selected psychical variables: anxiety level and depressive disorders evaluation were analyzed.
Prior to the survey, computer-generated random number tables were used to select four boys and four girls from each class to participate in the surveys, with two reserves of each gender selected in each class.
Pearson's χ test was used to estimate the differences in age group, gender, selected comorbidities (HTN, DM, CAD, hyperlipidemia, cerebrovascular disease, and AF), and dementia between the two cohorts.
The demographic and clinical characteristics of the study subjects, including age, gender, selected comorbid conditions, baseline dual energy X-ray absorptiometry (DXA), evidence of prior osteoporotic fracture, sites of osteoporotic fracture, history of vertebroplasty, first prescriber of osteoporosis regimen, and consumption of alcohol/smoking, were examined.
The study aimed at reviewing data of HIV-positive patients with renal failure and primarily compared HIV-positive and HIV-negative patients with AKI presenting in the same period, matched as closely as possible with regard to age and gender, selected as monthly consecutive referrals after the HIV-positive patients.
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For each cough sequence subjects were asked to identify the patient's gender, select appropriate descriptors and a diagnosis.
Controls were defined as subjects with latent CR, and were matched with case subjects by gender, selecting randomly two controls per case.
When participants were asked to choose gender over physician experience, bedside manner, or competency, gender was selected by 12%, 10.4%, and 0.8%, respectively, with no significant differences between the groups.
In addition, 31 students without migraine but with similar age and gender were selected randomly to complete the SCID-I.
The annual peak professional income estimated at the beginning of medical school was the dependent variable and gender within selected time periods was the independent variable.
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