Relationship Between Bayesian and Frequentist Sample Size Determination

By L. Inoue, D. Berry, Giovanni Parmigiani. 2005

57 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f648b4bcd805516a11bbd2426b69e90dbf996e11

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. D. Berry

In Statistics and Probability

1. Ken Kelley
2. S. Maxwell
3. Joseph R. Rausch
4. Diane D Liu
5. J. J. Lee
6. Swati Biswas
7. D. Berry
8. Daniël Lakens

Citations in the corpus

• Bayesian clinical trials (2006, methodology): “Choosing sample size using decision analysis Some Bayesian and frequentist approaches to choosing the sample size of a clinical trial give the same answe”
• Bayesian Clinical Trials at the University of Texas M. D. Anderson Cancer Center (2009, methodology): “When converted to a Bayesian design, the maximum sample size remained at 75 [21].”
• Sample size planning for statistical power and accuracy in parameter estimation. (2008, background): “…Mehta & Patel 2006), complications in planning subgroup analyses (e.g., Brookes et al. 2004, Lagakos 2006), the impact of noncompliance on power in randomized studies (e.g., Jo 2002), and Bayesian approaches to sample size planning (e.g., Berry 2004, 2006; Inoue et al. 2005; Lee & Zelen 2000).”