论文信息 - Justifying small-n research in scientifically amazing settings: challenging the notion that only "big-n" studies are worthwhile.

Justifying small-n research in scientifically amazing settings: challenging the notion that only "big-n" studies are worthwhile.

if you have ever competed for external research support, you know the drill. Every grant starts with some fantastic ideas that are honed, filtered, and shaped into a grant proposal. Primary aims lead to hypothesis statements, definitions of primary outcomes, and a statistical analysis section. At

[1] Bernard R. Rosner,et al. Fundamentals of Biostatistics. , 1992 .

[2] C. McCulloch,et al. Ethics and sample size. , 2005, American journal of epidemiology.

[3] Peter Bacchetti,et al. Current sample size conventions: Flaws, harms, and alternatives , 2010, BMC medicine.

[4] M. Segal,et al. Simple, Defensible Sample Sizes Based on Cost Efficiency , 2008, Biometrics.

[5] Andrew R Willan,et al. Optimal clinical trial design using value of information methods with imperfect implementation. , 2009, Health economics.

[6] L. Braitman. Confidence intervals assess both clinical significance and statistical significance. , 1991, Annals of internal medicine.

[7] Joseph F. Mudge,et al. Setting an Optimal α That Minimizes Errors in Null Hypothesis Significance Tests , 2012, PloS one.

[8] Simon Eckermann,et al. The Value of Value of Information , 2012, PharmacoEconomics.

[9] Steven G. Deeks,et al. Breaking Free of Sample Size Dogma to Perform Innovative Translational Research , 2011, Science Translational Medicine.

[10] Leonard E. Brahman. Confidence Intervals Assess Both Clinical Significance and Statistical Significance , 1991 .

[11] S. Goodman,et al. The Use of Predicted Confidence Intervals When Planning Experiments and the Misuse of Power When Interpreting Results , 1994, Annals of Internal Medicine.