Abstract
In this chapter we provide an introduction to statistical methods appropriate in G-protein-coupled receptor research, including examples. Topics covered include the choice of appropriate averages and measures of dispersion to summarize data sets, and the choice of tests of significance, including t-tests and one- and two-way analysis of variance (ANOVA) plus posttests for normally distributed (Gaussian) data and their nonparametric equivalents. Techniques for transforming non-normally distributed data to more Gaussian distributions are discussed. Concepts of statistical power, errors, and the use of these in determining the optimal size of experiments are considered. Statistical aspects of linear and nonlinear regression are discussed, including tests for goodness-of-fit to the chosen model and methods for comparing fitted lines and curves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Huff, D. (1955) How to Lie With Statistics. Penguin Books, London.
Hancock, A. A., Bush, E. N., Stanisic, D., Kyncl, J. J., and Lin, C. T. (1988) Data normalization before statistical analysis: keeping the horse before the cart. Trends Pharmacol. Sci. 9, 29–32.
Motulsky, H. J. (1995) Intuitive Biostatistics. Oxford University Press, New York.
Motulsky, H. J. (1999) Analysing Data With GraphPad Prism. GraphPad Software Inc., San Diego CA. http://www.graphpad.com.
Altman, D. G., Machin, D., Bryant, T. N., and Gardner, M. J. (2000) Statistics With Confidence. BMJ Books, London.
Sokhal, R. R. and Rolf, F. J. (1995) Biometry. W. H. Freeman & Co., New York.
Petrie, A. and Sabin, C. (2000) Medical Statistics at a Glance. Blackwell Science, Oxford.
Dyson, C. (2003) Choosing and Using Statistics. Blackwell Science, Oxford.
Wallenstein, S., Zucker, C., and Fleiss, J. L. (1980) Some statistical methods useful in circulation research. Circ. Res. 47, 1–9.
Quinn, G. P. and Keough, M. J. (2002) Experimental Design and Data Analysis for Biologists. Cambridge University Press, Cambridge.
Zar, J. (1999) Biostatistical Analysis, 4th ed., Prentice-Hall, Englewood Cliffs, NJ.
Siegel, S. and Castellan, N. J. (1988) Nonparametric Statistics for the Behavioural Sciences, 2nd ed. McGraw-Hill, New York.
Neave, H. R. and Worthington, P. L. (1988) Distribution-Free Tests. Unwin Hyman Ltd., London.
Mead, R. (1988) The Design of Experiments. Cambridge University Press, Cambridge, Massachusetts.
Kenakin, T. (1996) Molecular Pharmacology: A Short Course. Blackwell Science, Oxford.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Humana Press Inc.
About this protocol
Cite this protocol
Freeman, P., Spina, D. (2004). Statistical Methods in G-Protein-Coupled Receptor Research. In: Willars, G.B., Challiss, R.A.J. (eds) Receptor Signal Transduction Protocols. Methods in Molecular Biology, vol 259. Humana Press. https://doi.org/10.1385/1-59259-754-8:391
Download citation
DOI: https://doi.org/10.1385/1-59259-754-8:391
Publisher Name: Humana Press
Print ISBN: 978-1-58829-329-9
Online ISBN: 978-1-59259-754-3
eBook Packages: Springer Protocols