% February 23, 1982 % % The 1982 annual meetings of the American Statistical Association (ASA) % will be held August 16-19, 1982 in Cincinnati. At that meeting, the ASA % Committee on Statistical Graphics plans to sponsor an "Exposition of % Statistical Graphics Technology." The purpose of this activity is to % more fully inform the ASA membership about the capabilities and uses of % computer graphcis in statistical work. This letter is to invite you to % participate in the Exposition. % % Attached is a set of biomedical data containing 209 observations (134 % for "normals" and 75 for "carriers"). Each vendor of provider of % statistical graphics software participating in the Exposition is to % analyze these data using their software and to prepare tabular, graphical % and text output illustrating the use of graphics in these analyses and % summarizing their conclusions. The tabular and graphical materials must be % direct computer output from the statistical graphics software; the % textual descriptions and summaries need not be. The total display space % available to each participant at the meeting will be a standard poster- % board (approximately 4' x 2 1/2'). All entries will be displayed in one % location at the meetings, together with brief written commentary by % the committee summarizing the results of this activity. % % Reference % % Exposition of Statistical Graphics Technology, % L. H. Cox, M. M. Johnson, K. Kafadar, % ASA Proc Stat. Comp Section, 1982, pp 55-56. % Enclosures % % % THE DATA % % The following data arose in a study to develop screening methods to % identify carriers of a rare genetic disorder. Four measurements m1, % m2, m3, m4 were made on blood samples. One of these, m1, has been used % before. % Because the disease is rare, there are only a few carriers of % the disease from whom data are available. The data come in two files, % one for normals and one for carriers of the disease. A description of % the files is provided. The data have been stripped of the names and % other identifiers. Otherwise the data are as received by the analyst. % % % PURPOSE OF THE ANALYSIS % % The purpose of the analysis is to develop a screening procedure to % detect carriers and to describe its effectiveness. Experts in the % field have noted that young people tend to have higher measurements. % The laboratory which prepared the measurements is worried that there % may be a systematic drift over time in their measurement process. % These effects should be considered in the analysis. Can graphical % displays show the differences between the distributions of carriers % and normals? % % % FILE DESCRIPTION % % % Column Content % % 1 Observation number (sequence number per patient) % Note that there are several samples per patient % for some patients. % 2-8 Blank % 9-12 Hospital identification number for blood sample % 13-18 Blank % 19-20 Age of patient % 21-26 Blank % 27-32 Date that blood sample was taken (mmddyy) % Note that all day entries are 00. % 33-39 Blank % 40-43 ml (measurement 1) sss.s % 44-50 Blank % 51-54 m2 (measurement 2) xxx.x Eight missing data points. % 55-61 Blank % 62-65 m3 (measurement 3) xxx.x % 66-72 Blank % 73-75 m4 (measurement 4) xxx Seven missing data points. % % % % Information about the dataset % CLASSTYPE: nominal % CLASSINDEX: last % @relation biomed @attribute Observation_number {1,2,3,4,5,6,7} @attribute Hospital_identification_number_for_blood_sample INTEGER @attribute Age_of_patient INTEGER @attribute Date_that_blood_sample_was_taken 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