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These features explained 27%and35%5% of the variance in lifetime NSSI for males and females respectively, and 41%and40%0% of the variance in nonsuicidal cutting for males and females respectively.
In a sexual population, the expected change in mean fitness across generations is given by the additive genetic variance in lifetime fitness [1], and other traits will evolve as a correlated response to this change [2].
To estimate variance in lifetime reproductive success, we calculated the variance in the number of offspring divided by the square of the mean number of offspring, for both males (IM) and females (IF).
IM and IF are commonly used to estimate variance in lifetime reproductive success when the sampling of male and female reproductive output is incomplete and the data indicate the sexes have different mean lifetime reproductive success, when in reality they must be equal [25].
Kendler et al showed that 20% of the total variance in lifetime regular tobacco use was explained by age.
Calculation of Ne per generation requires an estimate of the variance in lifetime reproductive success (Hill 1972, 1979).
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We argue that this form of conflict can, in general, both constrain and maintain sexual selection, depending on the sex-specific additive genetic variances in lifetime fitness.
We begin by reviewing a model that specifies that the critical parameters for estimating the force of indirect selection on mating preferences from empirical data are the sex-specific additive genetic variances in lifetime reproductive success (LRS) and its genetic correlation between the sexes.
Studies of primates and other mammals typically show that for females, short-term estimates of variance in reproductive success underestimate lifetime variance in reproductive success [25], [31].
There is variance in any specific Page's post lifetime average.
Examination of all potentially contributing factors to the variance in striatal mI showed that total lifetime alcohol consumed was associated with higher mI (r = 0.28, P = 0.0230; ρ = 0.24, P = 0.0493), whereas being on HAART medication was associated with lower striatal mI levels [ t 65) = 1.9, P = 0.0573; χ = 4.2, P = 0.0395].
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