title: Simple graphical methods of displaying multiple clinical results.
abstract: A common challenge in clinical research trials is for applied statistics to manage, analyse, summarize and report an enormous amount of data. Nowadays, due to advances in medical technology, situations frequently arise where it is difficult to display and interpret results. Consequently, a creative approach is required to summarize the main outcomes of the statistical analyses in a form which is easy to grasp, to interpret and possibly to remember. In this paper a number of clinical case studies are provided. Firstly, a topographical map of the brain summarizing P-values obtained from comparisons across different EEG sites; secondly, a bulls eye plot, showing the agreement between observers in different regions of the heart; thirdly, a pictorial table reporting inter- and intra-rater reliability scores of a speech assessment; fourthly a star-plot to deal with numerous questionnaire results and finally a correlogram to illustrate significant correlation values between two diagnostic tools. The intention of this paper is to encourage the effort of visual representations of multiple statistical outcomes. Such representations do not only embellish the report, but aid interpretation by conveying a specific statistical meaning.
authors.affiliation: Biomedical Data Sciences, GlaxoSmithKline, Verona, Italy. lisa.2.squassante@gsk.com
authors.forename: L
authors.initials: L
authors.lastname: Squassante
authors.forename: C N
authors.initials: CN
authors.lastname: Robinson
authors.forename: R L
authors.initials: RL
authors.lastname: Palmer
mesh_terms: D002986:Clinical Trials as Topic / Q000379:methods*; D003627:Data Interpretation, Statistical; D004569:Electroencephalography; D006321:Heart / Q000000981:diagnostic imaging; D006801:Humans; D015588:Observer Variation; D011877:Radionuclide Imaging; D013070:Speech Therapy; D011795:Surveys and Questionnaires