Using Chi-square tests, response-patterns were compared across age, gender, visit frequency, number of people in the group, or whether walking a dog.
The medical information contained in the NHIRD included patient's birth date, gender, visit date, hospitalization date, medical services providers, treatments, managements, and the reasons for visits or hospitalization.
Logistic regression analyses evaluated the influence of age, gender, visits per year, severity of AI, and VAS score on the dependent variables of OHRQoL, dental fear, and dental beliefs.
Secondary efficacy outcomes for the PANSS total and subscores were analyzed using the mixed-model repeated measures (analysis) model (MMRM), with the fixed categorical effects of treatment, gender, investigator, visit, and treatment-by-visit interaction, as well as the continuous, fixed covariate of baseline score and baseline-by-visit interaction.
Analysis of treatment difference for total daily insulin dose was assessed using a repeated-measures analysis model with terms for treatment, country, gender, time (visit) and treatment-by-time (visit).
Gender, age, visiting frequency, and visiting time were all related to patient satisfaction.
Descriptive statistics were calculated to describe demographic information such as age and gender, initial visit status, and encounter department.
Analyses were adjusted for continuous patient age, patient race/ethnicity, physician specialty, and stratified by patient gender and visit setting.
They will be matched for age (>50 years), gender and visit window period and will have no known defect in dental wound healing.
An additional sensitivity analysis was performed for the primary endpoint using a repeated measures model adjusted for baseline FEV1, region, gender, age, visit, and treatment group.
The list contained the patient's age, gender, origin, visit hour and waiting time for an appointment for all new appointments in the clinic.
