Statistical science plays an important role in medical research. Indeed a major part of the key to the progress in medicine from the 17th century to the present day has been the collection and valid interpretation of empirical evidence provided by the application of statistical methods to medical studies. And during the last few decades, the use of statistical techniques in medical research has grown more rapidly than in any other field of application. Indeed, some branches of statistics have been especially stimulated by their applications in medical investigations, notably the analysis of survival data (see, for example, Collett 2003). But why has statistics (and statisticians) become so important in medicine? Some possible answers are:
Medical practice and medical research generate large amounts of data. Such data can be full of uncertainty and variation and extracting the “signal,” i.e. the substantive medical message in the data, form the ‘noise’ is usually anything but trivial.
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References and Further Reading
Besag J (1986) On the statistical analysis of dirty pictures (with discussion). J Roy Stat Soc Ser B 48:259–302
Collett D (2003) Survival data in medical research. CRC/Chapman and Hall, London
Congdon P (2001) Bayesian statistical modelling. Wiley, Chichester
Everitt BS (2008) Chance rules, 2nd edn. Springer, New York
Everitt BS, Landau S, Leese M, Stahl D (2010) Cluster analysis, 5th edn. Wiley, Chickester, UK
Everitt BS, Palmer CR (2010) Encyclopaedic companion to medical statistics, 2nd edn. Wiley, Chichester, UK
Everitt BS, Pickles A (2004) Statistical aspects of the design and analysis of clinical trials. Imperial College Press, London
Lange N (2003) What can modern statistics offer imaging neuroscience? Stat Methods Med Res 12(5):447–469
Sackett DL, Rosenberg MC, Gray JA, Haynes RB, Richardson W (1996) Evidence-based medicine: what it is and what it isn’t. Brit Med J 312:71–72
Schliep A, Schonhuth A, Steinhoff C (2003) Using hidden Markov models to analyze gene expression data. Bioinformatics 19: 255–263
Silverman BW, Jones MC, Wilson JD, Nychka DW (1990) A smoothed EM approach to indirect estimation problems, with particular reference to stereology and emission tomography (with discussion). J Roy Stat Soc Ser B 52:271–324
Toh H, Honimoto K (2002) Inference of a genetic network by a combined approach to cluster analysis and graphical Gaussian modelling. Bioinformatics 18:287–297
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Everitt, B.S. (2011). Medical Research, Statistics in. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_90
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