<p>Predictor variables: Proportion of other females copulating, conception status (pre- or postconception), female dominance rank (standardized across the two mating seasons), and autocorrelation term.</p><p>Female ID (n = 15) and season (n = 2) were included as random factors. The interaction between the number of other females copulating and conception status was not significant (estimate±SE = -0.05±0.51, z = -0.10, P = 0.92). The numbers presented in the table are from a model not comprising this interaction.</p
†<p>Percentage of unsuccessful courtships (no copulation) in which the behaviour occurs.</p>‡<p>Perc...
<p>The logistic regression models of laying probabilities over time significantly differ among the f...
There is increasing interest in identifying predictors of human fertility, including environmental e...
<p>(A) during the entire mating season, including non-fertile, fertile, and pregnant stages (n = 13 ...
<p>Predictor variables: Sharing or not sharing meat with females over the entire study period (binar...
For each focal female we present the data for the timing and outcome of each mating attempt, the tim...
<p>Each study female is represented by a unique symbol, and each grey scaled or dashed line connects...
All as predictor variables. Significant relationships are shown in bold type. The values for the z s...
<p>Correlations between female copulation frequencies or the number of male visitors per female with...
Chance plays a critical but under-appreciated role in determining mating success. In many cases, we ...
<p>The residuals were obtained from a model where number of copulations per dyad was the response va...
<p>Data are combined for two mating seasons (MS 07/08: 7 females, 13 males; MS 08/09: 8 females, 15 ...
<p>*p < 0.05</p><p>**p < 0.01</p><p>***p < 0.001</p><p>For dichotomous variables the odds ratio for ...
The human menstrual cycle is characterized by substantial variability both within and between women....
<p><sup>1</sup> TSCR = The total number of scrapes made, MSCR = The mean number of scrapes made, VST...
†<p>Percentage of unsuccessful courtships (no copulation) in which the behaviour occurs.</p>‡<p>Perc...
<p>The logistic regression models of laying probabilities over time significantly differ among the f...
There is increasing interest in identifying predictors of human fertility, including environmental e...
<p>(A) during the entire mating season, including non-fertile, fertile, and pregnant stages (n = 13 ...
<p>Predictor variables: Sharing or not sharing meat with females over the entire study period (binar...
For each focal female we present the data for the timing and outcome of each mating attempt, the tim...
<p>Each study female is represented by a unique symbol, and each grey scaled or dashed line connects...
All as predictor variables. Significant relationships are shown in bold type. The values for the z s...
<p>Correlations between female copulation frequencies or the number of male visitors per female with...
Chance plays a critical but under-appreciated role in determining mating success. In many cases, we ...
<p>The residuals were obtained from a model where number of copulations per dyad was the response va...
<p>Data are combined for two mating seasons (MS 07/08: 7 females, 13 males; MS 08/09: 8 females, 15 ...
<p>*p < 0.05</p><p>**p < 0.01</p><p>***p < 0.001</p><p>For dichotomous variables the odds ratio for ...
The human menstrual cycle is characterized by substantial variability both within and between women....
<p><sup>1</sup> TSCR = The total number of scrapes made, MSCR = The mean number of scrapes made, VST...
†<p>Percentage of unsuccessful courtships (no copulation) in which the behaviour occurs.</p>‡<p>Perc...
<p>The logistic regression models of laying probabilities over time significantly differ among the f...
There is increasing interest in identifying predictors of human fertility, including environmental e...