A formal test of the difference in pregnancy rate will be performed using chi-square test statistics.
Analyses will be performed using Chi-square tests, analysis of variance and log binomial generalized linear models as appropriate.
Given that the primary outcome measure is categorical in nature (whether patients do or do not quit smoking), the final comparison will be performed using chi-squared tests and effect size estimates will be expressed as relative risk (RR), absolute risk reduction (ARR), and number needed to treat (NNT) with the corresponding 95% confidence interval (95% CI).
Statistical analyses were performed using Chi square, Mann-Whitney and Kruskal Wallis tests.
Between group comparisons for continuous variables were performed using student t-tests, and intergroup comparisons of categorical variables were performed using Chi square tests.
Comparison of immunohistochemical distribution data was performed using Chi square test.
Statistical analysis was performed using Chi Square test with Yates Correction, using GraphPad Prism 5 Graph Pad, San Diego, USA).
Statistical analysis was performed using Chi square test using GraphPad Prism version 6.05 (GraphPad Software, Inc., California, USA).
Analysis was carried out using the parametric ANOVA test for continuous factors; simultaneous comparisons of several proportions were performed using chi square test.
Cross tabulations were performed using Chi tests to compare the characteristics of the APrON cohort with AOB-OC, APrON with AOB-PC, and AOB-OC with AOB-PC.
Comparisons were performed using Chi square tests and the categories of 'some' and 'a lot of problems' were collapsed to one category ('any problems').
