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where y i is the dependent variable (average number of antenatal visits by village i), y j is the average number of antenatal care visits by neighbours of village i. X i the set of socioeconomic factors in village i that influence the dependent variable.
P i is the probability of a live birth in village i having a birth defect.
The higher the value of is, the greater the influence of village i is at a given distance d, indicating that village i is a hotspot of the region.
y ij = 1 if village i is assigned to a DC in node j, and y ij = 0 otherwise.
β1 through β n represent fixed effect variable coefficients for variables x1 through x n. b Ii represents the random effect coefficient for village i. b Ji j represents the random effect coefficient for subject j, living in village i. ε ijf represents the error for village i, person j on day f.
When I came to the Village I could not get into the Village," he said.
Even in my village I was digging".
"The village I want is farther on".
"Is this Dongshigu village?" I smiled.
Their village, I learned, was called Örencik.
This happened in one village I visited.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com