Cukurova University Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Adana, Turkey
633149925
Mediterr J Rheumatol 2019;30(4):207-15
Article Links
Statistical Accuracy in Rheumatology Research
Keywords: data accuracy, data analysis, data collection, data interpretation, rheumatology, medicine, statistics
References
- Brown AW, Kaiser KA, Allison DB. Issues with data and analyses: Errors, underlying themes, and potential solutions. Proc Natl Acad Sci U S A 2018;115:2563-70. [https://doi.org/10.1073/pnas.1708279115] [PMID: 29531079] [PMCID: PMC5856502]
- Bahar B, Pambuccian SE, Barkan GA, Akdas Y. The Use and Misuse of Statistical Methods in Cytopathology Studies: Review of 6 Journals. Lab Med 2019;50:8-15. [https://doi.org/10.1093/labmed/lmy036] [PMID: 30020520]
- Bajwa SJ. Basics, common errors and essentials of statistical tools and techniques in anesthesiology research. J Anaesthesiol Clin Pharmacol 2015;31:547-53. [https://doi.org/10.4103/0970-9185.169087] [PMID: 26702217] [PMCID: PMC4676249]
- Carmona-Bayonas A, Jimenez-Fonseca P, Fernández-Somoano A, Álvarez-Manceñido F, Castañón E, Custodio A, et al. Top ten errors of statistical analysis in observational studies for cancer research. Clin Transl Oncol 2018;20:954-65. [https://doi.org/10.1007/s12094-017-1817-9] [PMID: 29218627]
- Choi SW, Cheung CW. Don't judge a book by its cover, don't judge a study by its abstract. Common statistical errors seen in medical papers. Anaesthesia 2016;71:843-5. [https://doi.org/10.1111/anae.13506] [PMID: 27156782]
- Hupé JM. Statistical inferences under the Null hypothesis: common mistakes and pitfalls in neuroimaging studies. Front Neurosci 2015;9:18. [https://doi.org/10.3389/fnins.2015.00018] [PMID: 25745383] [PMCID: PMC4333770]
- George BJ, Beasley TM, Brown AW, Dawson J, Dimova R, Divers J, et al. Common scientific and statistical errors in obesity research. Obesity (Silver Spring) 2016;24:71-90. [https://doi.org/10.1002/oby.21449] [PMID: 27028280] [PMCID: PMC4817356]
- Gosselin RD. Guidelines on statistics for researchers using laboratory animals: the essentials. Lab Anim 2019;53:28-42. [https://doi.org/10.1177/2F0023677218783223]
- Gunel Karadeniz P, Uzabacı E, Atış Kuyuk S, Kaskır Kesin F, Can FE, Seçil M, et al. Statistical errors in articles published in radiology journals. Diagn Interv Radiol 2019;25:102-8. [https://doi.org/10.5152/dir.2018.18148] [PMID: 30582574] PMCID: PMC6411271
- Lee S. Avoiding negative reviewer comments: common statistical errors in anesthesia journals. Korean J Anesthesiol 2016;69:219-26. [https://doi.org/10.4097/kjae.2016.69.3.219] [PMID: 27274365] [PMCID: PMC4891532]
- Nour-Eldein H. Statistical methods and errors in family medicine articles between 2010 and 2014-Suez Canal University, Egypt: A cross-sectional study. J Family Med Prim Care 2016;5:24-33. [https://doi.org/10.4103/2249-4863.184619] [PMID: 27453839] [PMCID: PMC4943144]
- Turkiewicz A, Luta G, Hughes HV, Ranstam J. Statistical mistakes and how to avoid them - lessons learned from the reproducibility crisis. Osteoarthritis Cartilage 2018;26:1409-11. [https://doi.org/10.1016/j.joca.2018.07.017] [PMID: 30096356]
- Arifin WN, Sarimah A, Norsa'adah B, Najib Majdi Y, Siti-Azrin AH, Kamarul Imran M, et al. Reporting Statistical Results in Medical Journals. Malays J Med Sci 2016;23:1-7. [https://doi.org/10.21315/mjms2016.23.5.1] [PMID: 27904419] [PMCID: PMC5101968]
- Bianchi MT, Phillips AJ, Wang W, Klerman EB. Statistics for Sleep and Biological Rhythms Research. J Biol Rhythms 2017;32:7-17. [https://doi.org/10.1177/0748730416670050] [PMID: 27836938] [PMCID: PMC5501416]
- Celik S, Yazici Y, Yazici H. Are sample sizes of randomised clinical trials in rheumatoid arthritis too large? Eur J Clin Invest 2014;44:1034-44. [https://doi.org/10.1111/eci.12337] [PMID: 25207845]
- Gasparyan AY, Ayvazyan L, Blackmore H, Kitas GD. Writing a narrative biomedical review: considerations for authors, peer reviewers, and editors. Rheumatol Int 2011;31:1409-17. [https://doi.org/10.1007/s00296-011-1999-3] [PMID: 21800117]
- Coskun Benlidayi I. Implement statistics at each step of your research. Rheumatol Int 2019 Jul;39(7):1303-4. [https://doi.org/10.1007/s00296-019-04327-3] [PMID: 31111292]
- Tariq MU. Hypothetico-deductive method: A comparative analysis. JOBARI 2015;7:228-31.
- Mourougan S, Sethuraman K. Hypothesis development and testing. IOSR-JBM 2017;19:34-40. [https://doi.org/10.9790/487X-1905013440]
- The Centre for Evidence-Based Medicine (CEBM) -Study Designs. Available from: https://www.cebm.net/2014/04/study-designs/ [Last accessed on 2019 May 26].
- Spieth PM, Kubasch AS, Penzlin AI, Illigens BM, Barlinn K, Siepmann T. Randomised controlled trials- a matter of design. Neuropsychiatr Dis Treat 2016;12:1341-9. [https://doi.org/10.2147/NDT.S101938] [PMID: 27354804] [PMCID: PMC4910682]
- Schulz KF, Altman DG, Moher D; CONSORT Group. Consort 2010 statement: Updated guidelines for reporting parallel group randomised trials. Ann Intern Med 2010;152:726‑32. [https://doi.org/10.7326/0003-4819-152-11-201006010-00232] [PMID: 20335313]
- Fuller T, Peters J, Pearson M, Anderson R. Impact of the transparent reporting of evaluations with nonrandomised designs reporting guideline: Ten years on. Am J Public Health 2014;104:e110‑7. [https://doi.org/10.2105/AJPH.2014.302195] [PMID: 25211744] [PMCID: PMC4202955]
- von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. Ann Intern Med 2007;147:573‑7. [https://doi.org/10.7326/0003-4819-147-8-200710160-00010] [PMID: 17938396]
- Lang T, Altman D. Statistical analyses and methods in the published literature: The SAMPL guidelines. Medical Writing 2016;25:31-6. [https://doi.org/10.18243/eon/2016.9.7.4]
- The EQUATOR Network | Enhancing the Quality and Transparency of Health Research. Available from: http://www.equator-network.org [Last accessed on 2019 May 25].
- Sut N. Study designs in medicine. Balkan Med J 2014;31(4):273-7. [https://doi.org/10.5152/balkanmedj.2014.1408] [PMID: 25667779] [PMCID: PMC4318396]
- Pan X, Lopez-Olivo MA, Song J, Pratt G, Suarez-Almazor ME. Systematic review of the methodological quality of controlled trials evaluating Chinese herbal medicine in patients with rheumatoid arthritis. BMJ Open 2017;7:e013242. [https://doi.org/10.1136/bmjopen-2016-013242] [PMID: 28249848] [PMCID: PMC5353312]
- Coskun Benlidayi I. Reliability of real-world data. Rheumatol Int 2019;39:583-4. [https://doi.org/10.1007/s00296-018-4230-y] [PMID: 30604203]
- Elfil M, Negida A. Sampling methods in Clinical Research; an Educational Review. Emerg (Tehran) 2017;5:e52. [PMID: 28286859] [PMCID: PMC5325924]
- Martínez-Mesa J, González-Chica DA, Duquia RP, Bonamigo RR, Bastos JL. Sampling: how to select participants in my research study? An Bras Dermatol 2016;91:326-30. [https://doi.org/10.1590/abd1806-4841.20165254] [PMID: 27438200] [PMCID: PMC4938277]
- Button KS, Ioannidis JP, Mokrysz C, Nosek BA, Flint J, Robinson ES, et al. Power failure: why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci 2013;14:365-76. [https://doi.org/10.1038/nrn3475] [PMID: 23571845]
- Burt T, Button KS, Thom H, Noveck RJ, Munafò MR. The Burden of the "False-Negatives" in Clinical Development: Analyses of Current and Alternative Scenarios and Corrective Measures. Clin Transl Sci 2017;10:470-9. [https://doi.org/10.1111/cts.12478] [PMID: 28675646] [PMCID: PMC6402187]
- Beck TW. The importance of a priori sample size estimation in strength and conditioning research. J Strength Cond Res 2013;27:2323-37. [https://doi.org/10.1519/JSC.0b013e318278eea0] [PMID: 23880657]
- Allam RM, Noaman MK, Moneer MM, Elattar IA. Assessment of Statistical Methodologies and Pitfalls of Dissertations Carried Out at National Cancer Institute, Cairo University. Asian Pac J Cancer Prev 2017;18:231-7. [https://doi.org/10.22034/APJCP.2017.18.1.231] [PMID: 28240524] [PMCID: PMC5563106]
- Ali Z, Bhaskar SB. Basic statistical tools in research and data analysis. Indian J Anaesth 2016;60:662-9.
- Weissgerber TL, Garovic VD, Milin-Lazovic JS, Winham SJ, Obradovic Z, Trzeciakowski JP, et al. Reinventing Biostatistics Education for Basic Scientists. PLoS Biol 2016;14:e1002430. [https://doi.org/10.1371/journal.pbio.1002430] [PMID: 27058055] [PMCID: PMC4825954]
- Habibzadeh F. Statistical Data Editing in Scientific Articles. J Korean Med Sci 2017;32:1072-6. [https://doi.org/10.3346/jkms.2017.32.7.1072] [PMID: 28581261] [PMCID: PMC5461308]
- Dvir Z. Difference, significant difference and clinically meaningful difference: The meaning of change in rehabilitation. J Exerc Rehabil 2015;11:67-73. [https://doi.org/10.12965/jer.150199] [PMID: 25960978] [PMCID: PMC4415752]
- Wilkinson M. Distinguishing between statistical significance and practical/clinical meaningfulness using statistical inference. Sports Med 2014;44:295-301. [https://doi.org/10.1007/s40279-013-0125-y] [PMID: 24248505]
- Wasserstein RL, Lazar NA. The ASA's Statement on p-Values: Context, Process, and Purpose. Am Stat 2016;70:129-33. [https://doi.org/10.1080/00031305.2016.1154108]
- Schwen LO, Rueschenbaum S. Ten quick tips for getting the most scientific value out of numerical data. PLoS Comput Biol 2018;14:e1006141. [https://doi.org/10.1371/journal.pcbi.1006141] [PMID: 30307934] [PMCID: PMC6181270]
- Angst F, Aeschlimann A, Angst J. The minimal clinically important difference raised the significance of outcome effects above the statistical level, with methodological implications for future studies. J Clin Epidemiol 2017;82:128-36. [https://doi.org/10.1016/j.jclinepi.2016.11.016] [PMID: 27986610]
- Andrade C. How to write a good abstract for a scientific paper or conference presentation. Indian J Psychiatry 2011;53:172-5. [https://doi.org/10.4103/0019-5545.82558] [PMID: 21772657] [PMCID: PMC3136027]
- Zinsmeister AR, Connor JT. Ten common statistical errors and how to avoid them. Am J Gastroenterol 2008;103:262-6. [https://doi.org/10.1111/j.1572-0241.2007.01590.x] [PMID: 18289193]
- Gelman A, Stern H. The difference between “significant” and “not significant” is not itself statistically significant. Am Stat 2006;60:328-31. [https://doi.org/10.1198/000313006X152649]
- In J, Lee S. Statistical data presentation. Korean J Anesthesiol 2017;70:267-6. [https://doi.org/10.4097/kjae.2017.70.3.267] [PMID: 28580077] [PMCID: PMC5453888]