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A simple method based on broken‐line interpolation for displaying data from long‐term clinical trials
Author(s) -
Gans Daniel J.
Publication year - 1982
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780010205
Subject(s) - interpolation (computer graphics) , simple (philosophy) , computer science , term (time) , scope (computer science) , algorithm , line (geometry) , window (computing) , data mining , artificial intelligence , mathematics , programming language , motion (physics) , philosophy , physics , geometry , epistemology , quantum mechanics , operating system
In displaying data from long‐term clinical studies, variation across patients in the times at which readings are recorded often presents a problem. A simple method for treating such data is proposed, which avoids arbitrary conventions and methodological difficulties inherent in other approaches. It is based on within‐patient broken‐line interpolation, and is easy to implement on a computer. The method is tested and compared to others with computer‐simulated data whose time‐pattern is known. Though the comparison is of limited scope, the method appears to compare favourably with the ‘closest‐reading’ and ‘window’ approaches.