<p>The effect size and confidence interval of each study are indicated by a square and a horizontal line, respectively. The weight of each study in the model is indicated by the size of its square. A log odds ratio of 0, indicated by the dashed reference line, corresponds to no gender difference in behavioral response. Positive log odds ratios correspond to greater behavioral response by females, while negative log odds ratios correspond to greater behavioral response by males. The population mean effect size of the random-effects model incorporating these studies is given by the placement of the diamond, while the horizontal corners of the diamond illustrate the 95% CI of this mean effect size.</p
Number of males and females in each of the three ranges (0: No risk, 1: Low risk, 2–4: High risk) of...
<p>‘Correlation’ refers to the weighted Pearson product moment correlation coefficient, <i>r</i>. ‘C...
<p>The forest plot for all included studies pooled together using a random-effects model. <sup>a</su...
<p>Squares represent the estimated per-allele beta-estimate for individual studies (a) and in males ...
<p>Horizontal lines representing 95% CI; diamond represents the overall effect size, random effects ...
<p>The black squares represent the pooled standardized mean difference effect size for each analysis...
<p>Forest plots of effect estimates for cases and controls of 9 individual studies stratified by typ...
<p>A Forest plot of the effect size or standardized mean difference (standardized using the z-statis...
<p><i>Note</i>. Correlations above the diagonal = females (N = 5,137); below the diagonal = males (N...
<p>Data were calculated by a random effects model. Boxes are SMDs, and lines are 95% CIs. The vertic...
Forest plot describing the variation in sex differences in (a) Verbal and (b) Other episodic memory ...
<p>The width of the horizontal line represents the 95% confidence interval (CI) of the individual st...
<p>Forest plot showing the odds ratio (95% confidence interval) for each behavioral risk factor adju...
<p>Squares indicate study-specific risk estimates (size of the square reflects the study-specific st...
<p>Horizontal lines representing 95% CI; diamond represents the overall effect size, random effects ...
Number of males and females in each of the three ranges (0: No risk, 1: Low risk, 2–4: High risk) of...
<p>‘Correlation’ refers to the weighted Pearson product moment correlation coefficient, <i>r</i>. ‘C...
<p>The forest plot for all included studies pooled together using a random-effects model. <sup>a</su...
<p>Squares represent the estimated per-allele beta-estimate for individual studies (a) and in males ...
<p>Horizontal lines representing 95% CI; diamond represents the overall effect size, random effects ...
<p>The black squares represent the pooled standardized mean difference effect size for each analysis...
<p>Forest plots of effect estimates for cases and controls of 9 individual studies stratified by typ...
<p>A Forest plot of the effect size or standardized mean difference (standardized using the z-statis...
<p><i>Note</i>. Correlations above the diagonal = females (N = 5,137); below the diagonal = males (N...
<p>Data were calculated by a random effects model. Boxes are SMDs, and lines are 95% CIs. The vertic...
Forest plot describing the variation in sex differences in (a) Verbal and (b) Other episodic memory ...
<p>The width of the horizontal line represents the 95% confidence interval (CI) of the individual st...
<p>Forest plot showing the odds ratio (95% confidence interval) for each behavioral risk factor adju...
<p>Squares indicate study-specific risk estimates (size of the square reflects the study-specific st...
<p>Horizontal lines representing 95% CI; diamond represents the overall effect size, random effects ...
Number of males and females in each of the three ranges (0: No risk, 1: Low risk, 2–4: High risk) of...
<p>‘Correlation’ refers to the weighted Pearson product moment correlation coefficient, <i>r</i>. ‘C...
<p>The forest plot for all included studies pooled together using a random-effects model. <sup>a</su...