This collection of articles is all about data analysis and statistics.
- Gelman, A 2012. “Why We (Usually) Don’t Have to Worry About Multiple Comparisons.” Journal of Research on Educational Effectiveness, 5: 189–211
- Nuzzo, R et al. 2015. “Scientific method: Statistical errors.” Nature; Vol 506
- Motulsky, HJ 2014. “Common misconceptions about data analysis and statistics.” Naunyn-Schmiedeberg’s Archives of Pharmacology; Volume 387, Issue 11, pp 1017-1023
- Wacholder, S et al. 2004. “Assessing the Probability That a Positive Report is False: An Approach for Molecular Epidemiology Studies.” JNCI J Natl Cancer Inst. 96 (6): 434-442
- Panda, A et al. 2013. “Statistical approaches for analyzing immunologic data of repeated observations: A practical guide.” Journal of Immunological Methods; Volumes 398–399, Pages 19–26
- Simmons, JP et al. 2011. “False-Positive Psychology Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant.” Psychological Science; vol. 22 no. 11 1359-1366
- Ioannidis, JPA 2005. “Why Most Published Research Findings Are False.” PLoS Medicine 2:0696–0701.
- Halsey, LG 2015. “The fickle P value generates irreproducible results.” Nature Methods 12, 179–185
- Maher, JM et al. 2013. “The Other Half of the Story: Effect Size Analysis in Quantitative Research.” CBE Life Sci Educ vol. 12 no. 3 345-351
- Lew, MJ 2012. “Bad statistical practice in pharmacology (and other basic biomedical disciplines): you probably don’t know P.” British Journal of Pharmacology 166; 1559–1567
- Cohen, J 1994. “The earth is round (p < .05).” American Psychologist, Vol 49(12), 997-1003.
- Colquhoun, D 2014. “An investigation of the false discovery rate and the misinterpretation of p-values.” R Soc Open Sci. 1(3): 140216.
- Cumming, G 2014. “The New Statistics: Why and How.” Psychological Science, 25:7
- Garner, JP 2014. “The Significance of Meaning: Why Do Over 90% of Behavioral Neuroscience Results Fail to Translate to Humans, and What Can We Do to Fix It?” ILAR J. 55 (3): 438-456.
- Hentschke, H and Stüttgen, MC 2011. “Computation of measures of effect size for neuroscience data sets.” European Journal of Neuroscience, Volume 34, Issue 12, pages 1887–1894
- Wilkinson, L 1999. “Statistical methods in psychology journals: guidelines and explanations.” American Psychologist; Vol. 54, No. 8, 594-604
- Loftus, GR 1996. “Psychology Will Be a Much Better Science When We Change the Way We Analyze Data.” Current Directions in Psychological Science 161-171
- Ioannidis, JPA 2014. “How to Make More Published Research True.” PLOS Medicine; Volume 11, Issue 10: e1001747
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