We analyze results in terms of influencing aspects on reported thermal sensation due to anthropometric characteristics of the sample, including gender, age, body mass and skin colour.
Table 3 presents a summary of the key variables across the sample, including: gender, age, qualifications, country of origin, visa type and nature of their online home-based business.
Univariate descriptive statistics were conducted to summarize the demographic characteristics of the sample including gender, age, marital status and educational level.
The corresponding model for CAD case-control sample included gender, age at inclusion, hypercholesterolemia, hypertension, type 2 diabetes, smoking, and BMI.
Subjects' characteristics at the time of sampling, including gender, age, HIV-1 RNA load, proviral DNA load, CD4 count, timing of sample collection, and the number of analyzed gag and env sequences, are presented in Table 1.
The MACS and WIHS cohorts were analyzed separately because of variations in data collection procedures and differences in the populations sampled, including gender, proportions of minorities, socioeconomic status, access to health care, and substance use.
Similarly, a detailed description of sample characteristics, including gender, ethnicity, and attrition rates is necessary for determining generalizability.
A qualitative study design was used with semi-structured focus groups and a sampling frame including gender, age, socio-economic group, and experience of back pain.
The demographics of the sample, including age, gender living situation, are described in Table 1.
Univariate descriptive statistics were conducted on sample's demographic characteristics including gender, age, marital status and educational level.
The present study is a replication and extension of that study, with a larger sample including both genders.
