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Biomedical subjects

M E Tarter

Publications and source records attributed to M E Tarter.

4 recordsLinked to original sources

Density estimation applications for outlier detection.

Nonparametric estimates of joint, conditional and marginal probability densities can be used to estimate the relative probability of a data point's recurrence. Outlier, unusual or abnormal values of a random variate tend to be those which are unlikely to recur. As part of an interactive graphical system, a procedure has been implemented which enables a biomedical researcher to view both the estimated probability and the numerical value of a data point's coordinates. This display circumvents the problem of interpreting a normal range in two or more dimensions and can thus be more easily generalized than most alternative outlier detection procedures.

Computers

Biocomputational methodology an adjunct to theory and applications.

The role of "methodology", as distinguished from "theory" and "application", is discussed and illustrated. It is argued that research in the biomedical sciences is moving towards a degree of complexity different in both kind and extent from that usually encountered in other disciplines. Certain biocomputational methodology can be viewed as a bridge between the data forms commonly encountered in biomedicine, and the statistical and computational machinery which had previously been developed to deal with physical science information. Examples are given of three promising research subareas, all of which concern methods for dealing with highly complex forms of health and medical data.

Computers

Interactive graphical isolation of homogeneous data subgroups.

A method is described for compacting homogeneous and separating heterogeneous data subcomponents. Allowance is made for heterogeneity due to a concomitant variable. When used with a large sample size, the major component of bivariate normal data will tend to be compacted to a single point. By applying the algorithm twice, the major component of bivariate lognormal data will tend to be compacted to a single point. These procedures have been implemented as part of an interactive graphical system for convenient use by biomedical researchers.

Cholesterol

Interactive editing of biomedical data.

Editing options of an interactive graphical-biometry statistical system are described. A method for screening using a highly reduced data file is illustrated. By utilizing properties of sample Fourier coefficients, the problem of component overlap can be resolved. This, in turn, tends to free edited statistical information from the contamination or truncation inherent in the usual screening process.

Data Display