From Table 2, it is clearly observed that most of the inequality in maternal health service utilization can be explained by inequalities in women's age, ethnicity, women's education, husband's education, and wealth.
It is clearly observed that most of the inequality in delivery by skilled health providers that is to the advantage of the wealthier segment of the population is explained by inequalities in income, education and urban residence.
Most of the inequality in births attended by skilled health personnel, which is skewed towards the wealthier segment of the population, is explained by inequalities in income, education and urban residence.
Second, to what extent can ethnic variation in rates of quitting be explained by community inequality, independently of socio-economic status?
So, we can say that this system is 'predictable.' Sometimes, because of the disturbances (or noises) of the outside, the system may not be determined by y ′ ( t ) = λ y ( t ) but can only be explained by an inequality like | y ′ ( t ) − λ y ( t ) | ≤ ε.
2) How much of the variation in preterm birth can be explained by socioeconomic inequalities across the study region?
Therefore, poorer survival outcomes for men and patients living in more deprived areas could at least partially be explained by these inequalities in stage at diagnosis of melanoma.
Second, how much of the variation in risk of preterm birth can be explained by socioeconomic inequalities across the study region?
The prevailing view has been that soggy median wages can be explained by widening income inequality.
