Experimental Design and Data Analysis of In Vivo Fluorescence Imaging Studies.
The objective of this chapter is to provide researchers who conduct in vivo fluorescence imaging studies with guidance in statistical aspects in the experimental design and data analysis of such studies. In the first half of this chapter, we introduce the key statistical components for designing a sound in vivo experiment. Particular emphasis is placed on the issues and designs that pertain to fluorescence imaging studies. Examples representing several popular types of fluorescence imaging experiments are provided as case studies to demonstrate how to appropriately design such studies. In the second half of this chapter, we explain the fundamental statistical concepts and methods used in the data analysis of typical in vivo experiments. We also provide specific examples in in vivo imaging studies to illustrate the key steps of analysis procedure.
Department of Biostatistics, University of Pittsburgh, 130 DeSoto Street, Pittsburgh, PA, 15261, USA. yingding@pitt.edu.
Ying
Y
Ding
Department of Biostatistics, University of Pittsburgh, 130 DeSoto Street, Pittsburgh, PA, 15261, USA.
Hui-Min
HM
Lin
D000818:Animals; D003627:Data Interpretation, Statistical; D051379:Mice; D061848:Optical Imaging; D012107:Research Design; D018401:Sample Size
Confidence interval; Hypothesis testing; Power; Randomization; Repeated measures; Sample size; Variation