Statistics, Causality and Dentistry: End and Means!
Author:
Publisher
Jaypee Brothers Medical Publishing
Subject
General Medicine
Link
https://jsd.sbvjournals.com/doi/pdf/10.5005/jp-journals-10083-1032
Reference5 articles.
1. 1. Navarro P, Aleman I, Sandoval C, Matamala C, Corsini G. Statistical testing methods for data analysis in dental morphology. Int J Morpho 2020;38(5):1317–1324. DOI: http://dx.doi.org/10.4067/S0717-95022020000501317.
2. 2. Nieminen P, Vähänikkilä H. Use of data analysis methods in dental publications: Is there evidence of a methodological change? Publications 2020;8(1):9. DOI: https://doi.org/10.3390/publications8010009.
3. 3. Ahern J. Start with the “C-Word,” follow the roadmap for causal inference. Am J Public Health 2018;108(5):621. DOI: 10.2105/AJPH.2018.304358.
4. 4. Hernán MA. Methods of public health research – Strengthening causal inference from observational data. N Engl J Med 2021;385(15):1345–1348. DOI: 10.1056/NEJMp2113319.
5. 5. Nieminen P, Uribe SE. The quality of statistical reporting and data presentation in predatory dental journals was lower than in non-predatory journals. Entropy (Basel) 2021;23(4):468. DOI: 10.3390/e23040468.
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