Visualising disease progression on multiple variables with vector plots and path plots
نویسندگان
چکیده
منابع مشابه
Visualising disease progression on multiple variables with vector plots and path plots
BACKGROUND It is often desirable to observe how a disease progresses over time in individual patients, rather than graphing group averages; and since multiple outcomes are typically recorded on each patient, it would be advantageous to visualise disease progression on multiple variables simultaneously. METHODS A variety of vector plots and a path plot have been developed for this purpose, and...
متن کاملVisualising Co-evolution with CIAO Plots
In a previous paper [2], we introduced a number of visualization techniques that we had developed for monitoring the dynamics of artificial competitive co-evolutionary systems. One of these techniques involves evaluating the performance of an individual from the current population in a series of trials against opponents from all previous generations, and visualizing the results as a 2-d grid of...
متن کاملVector Plots for Irregular Grids
A standard method for visualizing vector elds consists of drawing many small \glyphs" to represent the eld. This paper extends the technique from regular to curvilinear and unstructured grids. In order to achieve a uniform density of vector glyphs on nonuniformly spaced grids, the paper describes two approaches to resampling the grid data. One of the methods, an element-based resampling, can be...
متن کاملVisualizing Multiple Quantile Plots.
Multiple-quantile plots provide a powerful graphical method for comparing the distributions of two or more populations. This article develops a method of visualizing triple-quantile plots and their associated confidence tubes, thus extending the notion of a quantile-quantile (QQ) plot to three dimensions. More specifically, we consider three independent one-dimensional random samples with corre...
متن کاملBivariate Qq-plots and Spider Web Plots
Abstract: QQ-plots are extremely useful in univariate data analysis. In this article, Koltchinskii (1997) and Chaudhuri’s (1996) definition of multivariate quantile is used to develop analogous plots for bivariate data. Bivariate qq-plots are exhibited for comparing a sample to a given population distribution (the bivariate normal), and for comparing two or more bivariate samples. The plots are...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Medical Research Methodology
سال: 2009
ISSN: 1471-2288
DOI: 10.1186/1471-2288-9-32