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The present study aims to evaluate the feasibility of moxibustion as an adjuvant for conventional treatment in patients with BPH and to determine the correct sample size for verifying, in future studies, the effectiveness and safety of the integrative treatment compared with conventional treatment for patients with BPH accompanying LUTSs.
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▸ Van Es study (table 2) – the correct sample sizes for the intervention and control group are 33 and 34 respectively; data were, however, entered correctly.
With an expected dropout rate of 20%, the corrected sample size for the CRCT is determined at 520.
We corrected this sample size for adolescents who will be lost in follow-up (e.g., changing schools, repeating grades) and for the fact that our data is clustered (i.e., adolescents are nested within schools).
We used the subsequently published intracluster correlation for total body bone mineral content 41 in a sensitivity analysis, correcting the sample size for the effect of clustering by the design effect of 1.946, calculated by 1+(M−1)ICC, where M is the cluster size and ICC the intracluster correlation (87 and 0.011, respectively).
Another problem of using phenotypic value is that the systematic environmental effects on measured phenotypes may not be efficiently corrected because the sample size for association study is usually relative small in comparison with that for EBV prediction.
The properties, such as the coverage probability of treatment effect, correct allocation proportion and average sample size, for diverse combinations of initial sample sizes and tuning parameters in the utility function are discussed.
Until the modern data sets are corrected, the sample sizes for Onge and Jarawa limit what can be said about genetic input to these populations.
Gene network analysis typically needs large sample sizes for correct clustering, this can be prohibitive where samples are limited, such as in this study.
For a direct comparison of genetic diversity between diploid and mixed ploidy systems we used gene diversity corrected for sample size (Nei 1978) for the L genome (HeL) and R genome (HeR), respectively.
Allelic richness (AR(r)), corrected for sample size variations, was calculated for each population with a sample size >3 from haplotype frequencies using the rarefaction method proposed by Petit et al. [ 42] with the software RAREFAC.
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