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The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2407/10/558/prepub We thank Benny C. Y. Zee, Ph.D. Director of center for clinical trial and comprehensive cancer trials unit, Professor of school of Public Health and Department of statistics, The Chinese University of Hong Kong, for his assistance in English editing and statistical recommendations.
These procedures follow the statistical recommendations of Aiken and West (1991).
Four textbooks appeared to be relatively comprehensive in their treatment of statistical recommendations [ 93- 95, 114]. 1.
General statistical recommendations concerning factor analysis often suggest that item groupings with a Cronbach's alpha under 0.60 should not constitute a factor [ 32].
Hence, our first encouragement will be to get back to these data sets and test for evolutionary changes, following the latest statistical recommendations (Postma 2006; Hadfield et al. 2010).
In the present study, we used FPC scores as continuous variables, as per general statistical recommendations, as this is the first choice of analysis in order to retain information and statistical power [ 33].
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The pass mark thus calculated was only a statistical recommendation to the Board for an appropriate mark, and being only a recommendation the Board could in principle choose to set a different mark, if necessary to take into account other factors, although in practice it never actually did so.
We thematically grouped the retrieved resources, suggestions or techniques (e.g., statistical versus qualitative recommendations), described the recommendations, highlighted any empirical support cited for each recommendation, and made an overall summary of the recommendations.
For statistical analyses, the recommendations include listing all uncertainty factors (e.g., t-statistics, p-value, 95% confidence interval, standard error of central estimate) and reporting null or statistically insignificant findings.
As a one-time urban householder in India, I was curious enough in this case to page through the statistical forecasts and recommendations.
Following the statistical model's recommendation for treatment, only 26.5% of the cohort would have received treatment and 2.4% patients would have been harmed, whereas indiscriminate administration would have harmed 14.8% of patients.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com