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To eliminate some statistical problems associated with modeling highly correlated weight measures, we used conditional weight (CW) variables to represent the component of weight at a given age that is uncorrelated with earlier weight measures (30, 31).
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Weight-for-age percentiles are correlated with age, but much less correlated than weight and age (Swan 2008).
Of these 20 transcripts, 12 were found to be inversely correlated and 8 were positively correlated with weight change.
In non-OC users only, hydroperoxide values were positively correlated with weight and BMI and inversely correlated with chocolate and fish consumption.
Because sex differences in total play frequency, frequencies of the specific parameters of play, and time spent engaged in play behavior did not show age-associated changes that correlated with weight, sex differences in play cannot be fully explained by weight differences.
When normalizing for BMI, in females plasma BNDF levels were negatively correlated with leptin (p = 0.0790) and uric acid (p = 0.020) and in males, BDNF was negatively correlated with age (p = 0.055) and positively correlated with weight and uric acid levels (p = 0.079, p = 0.063 respectively).
Indeed, lumbar spine, total hip, and femoral neck BMD were positively correlated to weight (P ≤ 0.001) and inversely correlated to age (P ≤ 0.001).
In the total, male and female populations, BUA was negatively correlated with age (p < 0.001) but positively correlated with weight (p < 0.001) and positively correlated with BMI (p < 0.001).
We propose two correlated link weight models, namely a deterministic correlated model and a stochastic correlated model.
Our key contributions are as follows: We propose two correlated link weight models, namely a deterministic correlated model and a stochastic correlated model.
In this paper, we first propose two correlated link weight models, namely (1) the deterministic correlated model and (2) the (log-concave) stochastic correlated model.
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