A Bayesian Approach to Calculating Sample Sizes

1988 ◽  
Vol 37 (4/5) ◽  
pp. 433 ◽  
Author(s):  
C. J. Adcock
2019 ◽  
Vol 29 (4) ◽  
pp. 1181-1196
Author(s):  
Thierry Chekouo ◽  
Francesco C Stingo ◽  
Caleb A Class ◽  
Yuanqing Yan ◽  
Zachary Bohannan ◽  
...  

Human cancer cell line experiments are valuable for investigating drug sensitivity biomarkers. The number of biomarkers measured in these experiments is typically on the order of several thousand, whereas the number of samples is often limited to one or at most three replicates for each experimental condition. We have developed an innovative Bayesian approach that efficiently identifies clusters of proteins that exhibit similar patterns of expression. Motivated by the availability of ion mobility mass spectrometry data on cell line experiments in myelodysplastic syndrome and acute myeloid leukemia, our methodology can identify proteins that follow biologically meaningful trends of expression. Extensive simulation studies demonstrate good performance of the proposed method even in the presence of relatively small effects and sample sizes.


2012 ◽  
Vol 9 (3) ◽  
pp. 293-302 ◽  
Author(s):  
Yimei Li ◽  
Rosemarie Mick ◽  
Daniel F Heitjan

Author(s):  
Fred M. Hoppe ◽  
Jovica Riznic

The purpose of this paper is to show how a Bayesian approach may be used to determine sample sizes for future inspections of hangers in feeder tubes at nuclear plants. Predictive distributions are obtained and tables given for the number of fretting locations in the uninspected feeder population. If, upon inspection, the number of frets observed is too large for a specified confidence level, then the tables can be used to determine how many additional feeders to inspect.


2017 ◽  
Vol 48 (3) ◽  
pp. 174-183 ◽  
Author(s):  
Gabrielle K. Lehmann ◽  
Robert J. Calin-Jageman

Abstract. Red has been reported to enhance attraction for women rating men ( Elliot et al., 2010 ) and men rating women ( Elliot & Niesta, 2008 ). We replicated one of these studies online and in-person. To ensure rigor, we obtained original materials, planned for informative sample sizes, pre-registered our study, used a positive control, and adopted quality controls. For men, we found a very weak effect in the predicted direction (d = 0.09, 95% CI [−0.17, 0.34], N = 242). For women, we found a very weak effect in the opposite direction (d = −0.09, 95% CI [−0.30, 0.12], N = 360). The original studies may have overestimated the red effect, our studies may be an underestimate, or there could be strong moderation of the effect of red on attraction.


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