A computer program is described for estimating a simple one or two parameter variance function using approximate conditional likelihood. The inverse of the fitted function provides a smooth weighting function for use in subsequent manipulation of the data. The program is designed for immunoassays, w
A computer program for estimation of reference percentile values in laboratory data
โ Scribed by Robert G. Rossing; William E. Hatcher III
- Publisher
- Elsevier Science
- Year
- 1979
- Weight
- 347 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0010-468X
No coin nor oath required. For personal study only.
โฆ Synopsis
It has been suggested that the physician would be aided in his interpretation of clinical laboratory results if the data were reported in terms of percentile ranking in a reference population as well as in conventional units. This paper describes a FORTRAN porgram for estimating the necessary reference percentile values by means of regression over 20% of the distribution rather than by interpolation between adjacent points. The regression estimates are shown to have a negligible bias and to be somewhat more stable than those obtained by interpolation.
๐ SIMILAR VOLUMES
A mathematical analysis of counting data obtained in hormone plasmatic radioimmunoassay is presented. A log-normal Galton distribution of the dose-effect type is assumed for the fitting of the experimental data. The special adopted procedure makes it possible to reproduce the total range of the sigm
BASIC computer program for calculating ED,, and LDso values and their confidence limits by probit analysis and weighted linear regression is presented. It also includes the Chi square procedure for testing the mathematical model and allows on-screen high resolution graphic display. The portable prog
A computer program, DEMOS (for Decomposition Mode Solution), has been written to estimate the chemical concentrations and rate constants in a computer model of a multienzyme system such that it accurately reproduces the instantaneous kinetic state of the system. The entire system is defined in the B
Conventionally, all specimen vial and block labels are handwritten or typed, a labor-intensive process open to human error, particularly in a lab that processes large numbers of samples. The computer program described in this report was developed to reduce or eliminate this problem. The program is m
The optimum choice of categories in problems of medical data recognition is governed by the choice of categories, the selection of appropriate features, and by the choice of a loss function. Under these circumstances it is often difficult to find out the suitable classification scheme. The computer