Open Access Biomedical Publisher Using Post Publication Peer Review
The author described the importance of statistics to estimate the medical and clinical research. This is common in medical research and is good summary for beginners in statistics.
Their claim is not novel. And this description is not enough detail to understand and introduce in practical use.
These claims are properly placed in the context. But this is not a proper paper for scientific publication. This is a brief summary of basic statistics and these descriptions are not new.
There is no result and evidence. This is merely summary of statistics.
There is no protocol. This is not a clinical trial.
There is no methodology. This is a merely summary of statistics.
This is merely summary of basic statistics and the description is not enough to understand. The author should reconsider to submit this manuscript.
This paper is not outstanding. This is a brief summary of basic statistics. The description is not enough to insist on their claims.
The progress of recent statistics is very rapid and exciting. But recent subjects are not contained in this paper. And there are a lot of topics about statistics in the clinical and medical trials. Though introducing biostatistics is very interesting theme in the clinical study, the author did not mention about that. The author should make further summary by referring recent textbooks and journals.
Genome sequencing and transcriptome analysis.
The paper emphasizes the importance of applying and interpreting biostatistics in medical research by pointing to the negligence of statistical design in the current biomedical research.
No, these claims are not really novel.
Yes, they are placed in the context of previous literature, but a more detailed analysis would have been helpful. For instance, when the authors point out to the lack of "research design in descriptive statistics, case control studies, cohort studies and clinical trials", it might have helped the reader to know more about these studies and their importance in research. A few examples in literature could have been used to illustrate these points. In addition to simply stating parametric and non-parametric tests, it would have helped if these tests were described in more detail.
As pointed out earlier, illustrations of previous research would have been useful to support the claims.
Yes, it is valid. But a more detailed analysis of the importance of statistical tests would have strengthened the paper.
Yes, additional information on the various kinds of statistical tests and their interpretation including parametric and non-parametric tests or the consequences of not selecting a sample size in a statistically appropriate manner etc. would have certainly helped to make the points stronger.
No. A more coherent description of statistical techniques and their importance in existing literature would help.
I teach Health care data analysis and use statistical methodology in my research.
This editorial reminds the scientific community of the importance of using appropriate biostatistical methodology in medical research. This is always an important topic.
The topic of this editorial is not novel, but it is still relevant. The authors cite literature that demonstrates that the misuse of biostatistics has been a steady concern for at least 30 years.
Yes, the literature backs up the assertions of the need to apply biostatistics correctly.
This editorial is not outstanding; similar opinions can be found in almost all introductory biostatistics books and in many previous editorials across the medical literature.
No other comments.
Biostatistics is my PhD minor and at the time of posting this review I am pursuing a MS in statistics.
I perceive this article to be a good text for postgraduates.
I am happy that we have this text on WebmedCentral. However and do agree with Dr. Ferreira and what he asked to be added. In my opinion, there are other important things to discus. These are effect size statistic, number of subjects per samples needed, and statistical methods like regressions. Try to divide the article in multiple sections.
The paper is an introduction of biostatistic importance. May be it's useful for beginners in this field after modifications.
No, the paper is not novel because the biostatictic importance was discussed in detail in other specific books and journal articles.
The contribution of this paper is not clear. It lacks novelty.
No, it needs more modifications and more details.
The explanation of the proposed topic needs much more details beceuase it's a review paper. More details about statistical analysis must be added
No, the paper is not outstanding in its discipline
I recommend the authors to modify their paper. The title is intersting but the contents need more discussions.
Azar AT, Wahba K, Mohamed AS, Massoud WA. Association between dialysis dose improvement and nutritional status among hemodialysis patients.Am J Nephrol. 2007;27(2):113-9.
This article describes basic principles in statistical analysis. These information may be useful for graduate students and young scientist which are planning their research projects.
No, no novel from this article that the contents are available in statistical books however its may be an usful for readers.
This article describes basic principles in statistical analysis. These information may be useful for postgraduation students which are planning their research projects.
The claims of this article are not new. The content of thus article is available in almost all books on statistics.
Yes, it is.
The authors may add informations on the last pragraph of the Introduction section regarding the correspondence between parametric/nonparametric testing and Normality of distribution. It would be valuable if the authors discussed that continuous variables with non-normal distributions can be transformed to allow the use of parametric tests (and how to do this). The implications of such transformation on the power of the test may be also explored.
I am the Professor Titular of the Biostatistics discipline and I had published articles using different statistical methods.
All site content, except where otherwise noted, is licensed under a
Creative Commons Attribution License