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This study was performed as post-hoc analysis of prospective cohort hospital-based study to detect important gene mutations in ovarian cancer.
This prospective cohort hospital-based study to detect important gene mutations in ovarian cancer was approved by the Ethics Committee for Biomedical Research of the Jikei Institutional Review Board, Jikei University School of Medicine, Tokyo, Japan.
This experimental design was based on a previous study to detect local SST impact (Takahashi et al. 2015b).
The sample size for the study was based on the larger study to detect the 20%% reduction in perinatal mortality with statistical power of 80%% and level of significance at 5%% [ 12].
The sample size considerations were based on the ability of the study to detect a ten point difference between the care navigator and usual care arms.
Sample size estimates are based on the ability of the study to detect changes in the primary outcome measure, rate of major complications.
Since the patient characteristics were different in each included study, we performed a stratified analysis based on the location of the study to detect the role of ENE in penile cancer.
Based on previous studies we powered the study to detect among herd sero-prevalence (p) of 92.9 % [ 14].
Many of the previous studies to detect gene clustering were based on bioinformatic analysis of genome annotation.
Thus, in sibling based studies that fail to detect a significant association between exposure and outcome, it is particularly important to evaluate whether this was simply due to lack of power that is, an imprecisely estimated null hazard ratio value of 1.
However, several population based studies have also detected significantly higher chlamydia prevalences in adolescent girls than in same-aged boys [ 6- 9].
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