Good analytical practice: statistics and handling data in biomedical science. A primer and directions for authors. Part 1: Introduction. Data within and between one or two sets of individuals.
The biomedical scientist is bombarded on a daily basis by information, almost all of which refers to the health status of an individual or groups of individuals. This review is the first of a two-part article written to explain some of the issues related to the presentation and analysis of data. The first part focuses on types of data and how to present and analyse data from an individual or from one or two groups of persons. The second part will examine data from three or more sets of persons, what methods are available to allow this analysis (i.e., statistical software packages), and will conclude with a statement on appropriate descriptors of data, their analyses, and presentation for authors considering submission of their data to this journal.
Blann
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Haemostasis, Thrombosis and Vascular Biology Unit, University Department of Medicine, City Hospital, Birmingham, UK. a.blann@bham.ac.uk
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D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D035843:Biomedical Research / Q000379:methods* / Q000592:standards / Q000706:statistics & numerical data; D002648:Child; D002675:Child, Preschool; D005260:Female; D006801:Humans; D007223:Infant; D008297:Male; D008875:Middle Aged; D013223:Statistics as Topic; D009626:Terminology as Topic; D055815:Young Adult