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Low birth weight effect is not that evident.
The weight effect is the design effect due to weighting and is equal to 1 + C W 2, where C W is the coefficient of variation of the weights (i.e. the standard deviation of the weights divide by the mean of the weights) and is a standardised measure of the variation of the weights.
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This decrease in birth weight effect was not seen among infants born to women who were employed within the 2-mile radius.
Next, a dose dependent positive weight effect was observed during one month daily treatment for most compounds; only the highest dose of insulin NPH and IGF1 caused a weight loss compared to control (Additional file 1: Figure S2).
The weighting effect is shown to improve the characteristics computation by reducing the remaining components contribution to an order of 1N3, where N is the number of the samples.
Reviews by Ruder et al. [ 6] and Michels and Xue [ 34] suggest that evidence of a birth-weight effect is mixed and strongest for premenopausal breast cancer [ 6].
Birth weight effects are in logarithmic scale.
HbA1c and weight effects were maintained after 52 weeks.
Interestingly, although these ieQTL effects are very significant, the body weight effects are slight.
Although weight effects were modest, liraglutide produced more favourable weight effects compared with rosiglitazone, which produced substantial weight gain.
The weight effects were calculated using weff = n ∑ w i 2 (∑ w i ) 2 where: n denotes sample size and w denotes weights [ 20- 22].
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