Addressing the Challenge of P-Value and Sample Size when the Significance is Borderline: The Test of Random Duplication of Participants as a New Approach

@article{Tshikuka2016AddressingTC,
  title={Addressing the Challenge of P-Value and Sample Size when the Significance is Borderline: The Test of Random Duplication of Participants as a New Approach},
  author={Jose Gaby Tshikuka and Mgaywa Gilbert Mjungu Damas Magafu and Mooketsi Molefi and Tiny Masupe and Reginald Matchaba-Hove and Bontle Mbongwe and Roy Tapera},
  journal={International Journal of Statistics in Medical Research},
  year={2016},
  volume={5},
  pages={214-218}
}
The issue of borderline p -value seems to divide health scientists into two schools of thought. One school of thought argues that when the p -value is greater than or equal to the statistical significance cut-off level of 0.05, it should not be considered statistically significant and the null hypothesis should be accepted no matter how close the p -value is to the 0.05. The other school of thought believes that by doing so one might be committing a Type 2 error and possibly missing valuable… 
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References

SHOWING 1-10 OF 30 REFERENCES
Absence of evidence is not evidence of absence
TLDR
This editorial considered the dangers of misinterpreting differences that do not reach significance, criticising use of the term “negative” to describe studies that had not found statistically significant differences.
Shaping Up the Practice of Null Hypothesis Significance Testing
Recent criticisms of null hypothesis significance testing (NHST) have appeared in education and psychology research journals (e.g., Cohen, 1990 , 1994; Kupfersmid, 1988; Rosenthal, 1991; Rosnow &
Smaller sample sizes for phase II trials based on exact tests with actual error rates by trading-off their nominal levels of significance and power
TLDR
The approach described is especially useful for trials in rare disorders, or for proof-of-concept studies, where it is important to minimise the trial duration and financial costs, particularly in single-arm cancer trials commonly associated with expensive treatment options.
Survey of claims of no effect in abstracts of Cochrane reviews
TLDR
The impossibility of proving no effect or no difference should be distinguished from the concept used for equivalence trials, where bounds are set on the differences that are deemed practically important.
GRADE guidelines 6. Rating the quality of evidence--imprecision.
Sample Size Estimation in Prevalence Studies
TLDR
Practical issues in sample size estimation for prevalence studies are discussed with an objective to help clinicians and healthcare researchers make more informed decisions whether reviewing or conducting such a study.
Oxford Handbook of Medical Statistics
TLDR
The Oxford Handbook of Medical Statistics, second edition, has been written to provide doctors and medical students with a comprehensive yet concise account of this often difficult subject.
The Philosophy of Multiple Comparisons
'Abstract. This paper is based on the 1989 Miller Memorial Lecture at Stanford University. The topic was chosen because of Rupert Miller's long involvement and significant contributions to multiple
Practical statistics for medical research
TLDR
Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background.
Statistical Methods for Research Workers
TLDR
This book has done more than any other to popularize the use of modern statistical methods and maintains its place as the standard work on its subject for the ordinary scientific worker.
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