 1. Analyses between baseline versus different timepoints The first step will be to compare the changes in primary outcomes between baseline versus the different timepoints. Spermatogenesis normally takes up to 70 days in men and we will therefore determine the difference to all the individual timepoints and calculate average for days 80, 120 and 180 and compare with baseline values to determine the effect of RANKL inhibition on the whole length of spermatogenesis. This analysis will show if there is a significant difference between groups. For outcomes measured repeatedly, this will entail comparing the estimated slopes, or rates of change, of each outcome between the groups. Mixed models allow for the correlation between the repeated observations baseline-day 1-day 80- day 180 from each man to be suitably incorporated into parameter estimation. For all endpoints measured at baseline and day 180, paired t-tests will be used to assess there is a significant difference between the groups and determine whether the mean change within each group differs significantly from zero. In both cases, data will be transformed as necessary to meet model assumptions. Afterwards, the same analysis will be conducted by using multiple regression with relevant confounders such as season, BMI, smoking, duration of abstinence, time from ejaculation to motility assessment, fever etc. to see if this changes the results For outcomes measured that cannot be compared with t-test or other parametric tests at day 1, day 80 and day 180, groups will be compared using non-parametric tests such as Wilcoxon Mann-Whitney test. For Binary outcome the data will be compared between the two groups by means of conditional logistic-regression analysis with adjustment for relevant confounders defined as being significantly p0.05 associated. 