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However, these mean differences are not statistically significant.
Mean differences are weighted according to the sample design.
The monthly mean differences are also shown, and they range from −50 to 40%%.
The results also indicate that mean differences are statistically significant for stunting and underweight only.
A t test shows that most bivariate mean differences are statistically significant at a 1% significance level.
The RMS differences are smaller for the Kalman filter solution, while the mean differences are smaller for LSM.
Similar(17)
However, the relative mean differences were small (0.3%1.2%%).
Five trials were included and methodological quality and mean or standardised mean differences were calculated.
Standardised mean differences were computed for continuous data and relative risks (RR) for dichotomous data.
Mean differences were not observed at two-thirds screw insertion (P =.12).
Mean differences were estimated using normal lowly informative prior distribution (N [μ = 0,σ = 10]) [24].
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