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The number of households selected in each (wealth) class is based on a quota defined by the formula: q = n/N, with N the number of households identified in the village, q the sampling coefficient and n (with n ≈ 81) the total number of households to be selected in the village (Table 1).
We also looked at changes over time in the use of private healthcare facilities among women in each wealth quintile.
In Nepal, both public and private sector shares increased among women in each wealth group over time.
Graphical distributions of categorization of wealth indices were compared, as well as distributions by sample and percentage of key population in each wealth category.
We then adjust their methodology to account for the percentage of women currently pregnant, and the percentage of under-fives with diarrhoea in each wealth quintile as reported in the Ethiopian DHS.
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In this paper, we present results for this classification as it resulted in a reasonable number of respondents within each wealth group in each region.
In order to present the reader with a snapshot of the distribution of the various categories of wealth for native, immigrant and mixed households, we provide wealth values in each decile for each wealth category.
To determine the number of deaths averted by UPF in the diarrhoeal treatment, we assume a 20-percentage point increase in treatment seeking above the level reported for each wealth quintile in the 2011 Ethiopian DHS.
Similar to the results for travel time to Dabat health centre, there was little evidence to suggest that the mean travel times to nearest health posts were different in each household wealth group (p-value 0.882) (Table 3).
Principal component analysis was used to calculate the eigenvectors associated with each wealth variable in the expression.
First, we documented the overall constraint on selection for female life-history traits between the wealth classes by estimating the opportunity for selection, which measures variance in fitness [25], [28], for each wealth class.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com