These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
151 related articles for article (PubMed ID: 20009908)
1. Biostatistics: a toolkit for exploration, validation, and interpretation of clinical data. Mandrekar JN; Mandrekar SJ J Thorac Oncol; 2009 Dec; 4(12):1447-9. PubMed ID: 20009908 [TBL] [Abstract][Full Text] [Related]
2. Understanding the effect size and its measures. Ialongo C Biochem Med (Zagreb); 2016; 26(2):150-63. PubMed ID: 27346958 [TBL] [Abstract][Full Text] [Related]
7. Erratum to: Letter to the Editor: The ongoing tyranny of statistical significance testing in biomedical research. VanderWeele TJ Eur J Epidemiol; 2010 Dec; 25(12):899-900. PubMed ID: 21190126 [No Abstract] [Full Text] [Related]
8. Statistical Methods for Cardiovascular Researchers. Moyé L Circ Res; 2016 Feb; 118(3):439-53. PubMed ID: 26846639 [TBL] [Abstract][Full Text] [Related]
10. Why do you need a biostatistician? Zapf A; Rauch G; Kieser M BMC Med Res Methodol; 2020 Feb; 20(1):23. PubMed ID: 32024478 [TBL] [Abstract][Full Text] [Related]
11. Response to letter by Frane: "False discovery rate control is not always a replacement for Bonferroni-type adjustment". Glickman ME; Rao SR; Schultz MR J Clin Epidemiol; 2016 Jan; 69():264. PubMed ID: 26139437 [No Abstract] [Full Text] [Related]
12. Resolution of Students t-tests, ANOVA and analysis of variance components from intermediary data. Anders K Biochem Med (Zagreb); 2017 Jun; 27(2):253-258. PubMed ID: 28740445 [TBL] [Abstract][Full Text] [Related]
13. False discovery rate control is not always a replacement for Bonferroni adjustment (Letter commenting on: J Clin Epidemiol. 2014;67:850-7). Frane AV J Clin Epidemiol; 2016 Jan; 69():263. PubMed ID: 26130494 [No Abstract] [Full Text] [Related]
14. Unit of analysis issues in laboratory-based research. Parsons NR; Teare MD; Sitch AJ Elife; 2018 Jan; 7():. PubMed ID: 29319501 [TBL] [Abstract][Full Text] [Related]
15. The ongoing tyranny of statistical significance testing in biomedical research. Stang A; Poole C; Kuss O Eur J Epidemiol; 2010 Apr; 25(4):225-30. PubMed ID: 20339903 [TBL] [Abstract][Full Text] [Related]
16. Common misconceptions about data analysis and statistics. Motulsky HJ J Pharmacol Exp Ther; 2014 Oct; 351(1):200-5. PubMed ID: 25204545 [TBL] [Abstract][Full Text] [Related]
17. How much precision in reporting statistics is enough? Habibzadeh F; Habibzadeh P Croat Med J; 2015 Oct; 56(5):490-2. PubMed ID: 26526886 [No Abstract] [Full Text] [Related]
18. Aiming for the truth: understanding the difference between validity and precision. Attia JR; Jones MP; Suthers B Med J Aust; 2016 Nov; 205(9):392-394. PubMed ID: 27809733 [No Abstract] [Full Text] [Related]
19. A systematic approach to initial data analysis is good research practice. Huebner M; Vach W; le Cessie S J Thorac Cardiovasc Surg; 2016 Jan; 151(1):25-7. PubMed ID: 26602896 [TBL] [Abstract][Full Text] [Related]
20. Biostatistics pitfalls: Lessons learned from analysis of medical data. Yin G; Zhang C; Yang Z Contemp Clin Trials; 2019 Dec; 87():105875. PubMed ID: 31676313 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]