11.6 – Chapter 11 – References

References and suggested readings

Browner WS, Newman TB (1987) Are all significant P values created equal? The analogy between diagnostic tests and clinical research. JAMA 257:2459-2463.

Cohen J (1992) Statistical power analysis. Current directions in Psychological Science 1:98-101.

Colegrave, N., and Ruxton, Graeme D. (2003) Confidence intervals are a more useful complement to nonsignificant tests than are power calculations. Behavioral Ecology 14(3):446-447

Eng J (2003) Sample Size Estimation: How Many Individuals Should Be Studied? Radiology 227:309-313

Everitt BS, Hothorn T. (2007) A handbook of statistical analyses using R, 2nd edition. Chapman & Hall/CRC Press

Freeman, E., Robson, E., Bates, B., & Sierra, K. (2008). Head first design patterns. ” O’Reilly Media, Inc.”.

Hansen WB, Collins LM (1994) Seven ways to increase power without increasing N, pp 184-195 in: Advances in Data Analysis for Prevention Intervention Research, Collins LM, Seitz LA (eds). NIDA Research Monograph 142

Hoenig JM, Heisey DM (2001) The Abuse of Power: The Pervasive Fallacy of Power Calculations for Data Analysis. American Statistician 55:19-24.

Kanda Y (2013) Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone marrow transplantation 48:452-458

Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Frontiers in psychology, 4, 863.

Yuan K-H, Maxwell S (2005) On the Post Hoc Power in Testing Mean Differences. Journal of Educational and Behavioral Statistics 30(2):141-167

Zhang, Y., Hedo, R., Rivera, A., Rull, R., Richardson, S., & Tu, X. M. (2019). Post hoc power analysis: is it an informative and meaningful analysis?. General psychiatry, 32(4).

Chapter 11 contents