Analysis of cell proliferation data.
When estimating the labeling index is of interest, the design of experiments raises a number of methodological questions: How many cells should be scored? How big a difference in labeling index is likely to be detectable? What is the potential effect of low growth fraction on detecting a treatment effect? What are appropriate ways of expressing treatment effects on labeling index? Data from two labeling index experiments are used to shed light on these questions. The answers to all questions depend on the level of labeling index under consideration: a low frequency of labeling makes it important to count more cells, but this should not be done at the expense of using fewer animals. Detecting differences between treated and control groups when labeling index is low or when growth fraction is low is difficult, and caution must be used when expressing treatment effect as fold increase when labeling index is small.
Analytical Sciences, Inc., Durham, NC 27713.
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Morris
D000704:Analysis of Variance; D000818:Animals; D001973:Bromodeoxyuridine / Q000378:metabolism; D002455:Cell Division; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D008099:Liver / Q000166:cytology / Q000378:metabolism; D008297:Male; D051379:Mice; D008940:Mitotic Index; D008954:Models, Biological
D001973:Bromodeoxyuridine