Characteristics of the 200 patients (age, age more than 65, gender, probability of CAP diagnosis by adjudication committee) were not significantly different from those of the 119 other patients of the ESCAPED study and are summarized in Table 1.
Potential bias from differing probabilities of selection in the sample is addressed by weighting by age, gender, probability of selection in the household, and area of residence to the most recent estimates of residential population, derived from census data by the Australian Bureau of Statistics.
The age-gender probabilities of AD diagnosis used to construct the TTE-AD distribution are based upon an analysis of patients from the Framingham study [ 15].
Data were weighted to census data by region, age group, gender, and probability of selection in the household, to provide population-representative estimates.
Even if no interaction was seen between age and gender the probability for activities decreased with advancing age in all age groups among women.
Data were weighted to census measures by region, age group, gender, and probability of selection in the household, to provide population representative estimates.
To investigate whether the two experimental groups showed similar gender stereotypes, probability means were subjected to a 2 (Sex) × 2 (Condition: Gender-Stereotyped vs. Control) × 2 (Group Sex Composition: Same- vs. Mixed-Sex) analysis of variance (ANOVA).
Data were weighted to Census data by region, age group, gender and probability of selection in the household, to provide population representative estimates, and all analyses are presented using weighted values.
Data were weighted to the 1999 Estimated Residential Population for South Australia [ 37] and Census data [ 38] by region, age group, gender and probability of selection in the household, to provide population representative estimates.
Along with smoking history and gender, the probability of an individual dying from lung cancer during follow-up depends on the age at enrollment, t0, and age at the end of follow-up, t1.
Data are weighted by area (metropolitan/rural), age, gender and probability of selection in the household to the most recent SA population data so that the results are representative of the SA population [ 26].
