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For inverse probability weighted regression adjustment estimator, the following variables were assumed to predict group allocation: gender, age, ADHD subtype, and IQ.
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Thus, the fact that there was no association between card allocation and gender may be due to gender parity in the VHCs' composition.
This expands the scope of existing literature and furthers our understanding of intrahousehold resource allocation and gender inequality in education.
There was also a similar allocation of gender among participants and those not invited, 61% and 57% males respectively (p = 0.07).
The adjusted results controlled for group allocation, age, gender, age×gender interactions, country and baseline risk factors using ordinary least squares (OLS) regressions.
The sample was stratified with proportional allocation regarding gender (an equal amount of males and females), age group (young adolescents: 13 15 years; older adolescents: 16 19 years; and young adults: 20 23 years), and public healthcare region.
By focussing on the context of the UWR, we show the importance of understanding intra-household bargaining and resource allocation via the gender dynamics related to health insurance procurement and maintenance, and discuss associated policy implications.
The groups were well matched apart from gender allocation.
Gender allocation of the study sample was tested for agreement between observed and hypothesized binary probability.
Gender allocation was different between groups *Significant group differences Subjects are separated according to 5-HTTLPR genotype and for statistical analyses the groups SS and SL are combined and compared with the group LL.
The 24 subjects comprised 12 males (age range 20 39 yrs; mean 29.2) and 12 females (20 29 yrs; 24.7) with drug allocation balanced for gender i.e. 6 males and 6 females received propranolol.
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