Statistical Issues in Reproducibility

Reproducibility: Principles, Problems, Practices, and Prospects

Volumn , Issue , 2015, Pages 87-114

  Stahel, Werner A ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

NORMAL DISTRIBUTION; REGRESSION ANALYSIS; STOCHASTIC SYSTEMS;

EXPLORATORY DATA ANALYSIS; MODEL DEVELOPMENT; PROBABILISTIC MODELS; QUANTITATIVE RESULT; REGRESSION MODEL; REPRODUCIBILITIES; STOCHASTIC VARIATION; VARIANCE COMPONENTS;

PHILOSOPHICAL ASPECTS;

EID: 84984821732     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781118865064.ch5     Document Type: Chapter

References (18)

1. Berk, R., Brown, L., Buja, A., Zhang, K., and Zhao, L. (2013): Valid post-selection inference. Annals of Statistics, 41, 802-837.
2. BUhlmann, P., and van de Geer, S. (2011): Statistics for High-Dimensional Data. Methods, Theory and Applications, Springer, Heidelberg.
3. Gelman, A. (2014): The connection between varying treatment effects and the crisis of unreplicable research: A Bayesian perspective. Journal of Management 20(10), 1-12.
4. Gelman, A., and Loken, E. (2014): The statistical crisis in science. American Scientist 102, 460-465.
5. Ioannidis, J. (2005): Why most published research findings are false. PLOS Medicine 2, 696-701.
6. Ioannidis, J. (2014): How to make more published research true. PLOS Medicine 11(10): e1001747.
7. Killeen, P.R. (2005): An alternative to null-hypothesis significance tests. Psychological Science 16(5), 345-353.
8. Krantz, D.H. (1999): The null hypothesis testing controversy in psychology. Journal of the American Statistical Association 94, 1372-1381.
9. Künsch, H.R., Beran, J., and Hampel, F.R. (1993): Contrasts under long-range correlations. Annals of Statistics 21(2), 943-964.
10. Leisch, F. (2002): Sweave: Dynamic generation of statistical reports using literate data analysis. In Compstat 2002 - Proceedings in Computational Statistics, ed. by W. Hardle and B. Ronz, Springer, Berlin, pp. 575-580.
11. Meinshausen, N., Meier, L., and Buhlmann, P. (2009): P-values for high-dimensional regression. Journal of the American Statistical Association 104, 1671-1681.
12. Rodgers, J.L. (2010): The epistemology of mathematical and statistical modeling. American Psychologist 65, 1-12.
13. Simmons, J.P., Nelson, L.D., and Simonsohn, U. (2011): False-positive psychology: Undisclosed exibility in data collection and analysis allows presenting anything as significant. Psychological Science 22, 1359-1366.
14. Stodden, V., Leisch, F., and Peng, R.D. (2014): Implementing Reproducible Research, CRC Press, London.
15. Student (1927): Errors of routine analysis. Biometrika 19, 151-164.
16. Verhagen, J., and Wagenmakers, E.J. (2014). Bayesian tests to quantify the result of a replication attempt. Journal of Experimental Psychology: General 143, 1457-1475.
17. Wilkinson, L., and Task Force on Statistical lnference (1999): Statistical methods in psychology: Guidelines and explanations. American Psychologist 54, 594-604.
18. Xie, Y. (2013). Dynamic Documents with R and knitr, CRC Press, London.