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A computer program for localizing visual field defects is presented. It is based on a decision tree which has been converted into a program written in Turbo-Pascal and can be run on any IBM-compatible computer. A question-and-answer routine guides the examiner to the localization of the defect.
An accurate, rapid calculation of Cardiac Output is of great importance during the treatment of critically ill patients. This paper describes a complete, self-contained mini-computer system, based on a Data General NOVA 1220 which can accurately sample data and compute the results in about 30 sec. The system uses the thermodilution method with a Swan-Ganz catheter to collect data and a weighted least-squares technique to compute the results.
A variety of small canned computer programs for survey research and demographic analysis appropriate for use in developing countries are reviewed in this article. The programs discussed are SPSS (Statistical Package for the Social Sciences); CENTS, CO-CENTS, CENTS-AID, CENTS-AIE II; MINI-TAB EDIT, FREQUENCIES, TABLES, REGRESSION, CLIENT RECORD, DATES, MULT, LIFE, and PREGNANCY HISTORY; FIVFIV and SINSIN; DCL (Demographic Computer Library); MINI-TAB Population Projection, Functional Population Projection, and Family Planning Target Projection. A description and evaluation for each program of uses, instruction manuals, computer requirements, and procedures for obtaining manuals and programs are provided. Such information is intended to facilitate and encourage the use of the computer by data processors in developing countries.
We have developed a computer program for Wiener filtering of evoked potential data. The basic algorithm involves computation of the difference berween the power spectrum of the sweep sum and the sum of power spectra of individual sweeps. Power spectra are computed by means of the discrete Fourier transform. The program is now being run on a LSI-11 computer in a neurophysiology research laboratory to analyze somatic evoked potential data from monkeys.
An interactive computer program designed to present information about a patient taken from a history, physical examination and investigations is described. The application and advantages of the technique for the purposes of teaching and investigating medical (diagnostic) problem-solving are briefly discussed.
A computer program which yields values for the volumes, surface areas, and volume/surface area ratios of cell profiles is described for use on a desktop calculator (minicomputer). This program uses standard morphometric procedures, and incorporates data obtained from electron micrographs at two levels of sampling. The main program yields values for the 'average cell volume' at the tissue level of sampling. Two options at the cellular level of sampling are also included which yield values for the volumes, surface areas and volume/surface area ratios for the organelles. The first option allows an analysis of 'whole cells' containing equatorial profiles through the nucleus, while the second option permits a 'fractional' approach using segments of the cells. Finally, some of the advantages of the two options are discussed.
A computer program that allows the preparation of buffers containing known concentrations of metal-ligand complexes at defined pH values and temperatures is described. Ligands are defined as compounds that bind metals and may include AMP, ADP, ATP, GMP, GDP, GTP, EGTA, EDTA, BAPTA, phosphate, sulfate, chloride, monocarboxylic acids, dicarboxylic acids, organophosphates, and/or citric acid. Metals may include sodium, potassium, magnesium, calcium, and/or manganese. The program uses association constants corrected for temperature and ionic strength so that solutions between 0 and 40 degrees C and between pH values of 4 and 10 can be defined. The program can perform the following: (i) calculate the concentration of all metal-ligand complexes when total metal and total ligand concentrations are known, (ii) calculate the concentration of metal ion required to make a solution of known free metal ion concentration when total ligand concentrations are known, (iii) calculate the concentration of ligand required to make a solution of known free metal ion concentration when total metal concentrations are known, and (iv) calculate the total concentrations of metal and ligand required to make a buffer of known metal-ligand concentration. Options i-iii are useful for making buffers of defined free metal ion concentrations; option iv is useful for making buffers of defined metal-nucleotide concentrations.
A series of computer programs have been written to calculate agonist dissociation constants by the method of Parker and Waud (1971). They are faster and less tedious than the manual iterative solutions previously presented, but give comparable results.
The computer program discussed and presented in this paper is designed for the statistical analysis of data from cancer inhibition/promotion experiments that involve Type I censoring. The theoretical derivation of the method is described in Biometrics 43 (1987) 525-534 and Appl. Math. Lett. 1 (1988) 197-201. Turbo Pascal is used to compute maximum likelihood estimates of the parameters of interest: the mean number of induced tumors per animal, and the mean time to tumor detection. The program conducts a likelihood ratio test to determine if there is an overall experiment effect, and allows the user to select options to isolate the pair(s) of groups contributing to the experiments effect, to isolate group differences in terms of tumor number and growth rate, and to graph 95% confidence regions for the vector parameter of interest.
The proper evaluation of the accuracy of a new computer program for radiation-therapy dosimetry requires consideration of both the mathematical algorithm used in the program and the performance required in clinical applications. As an example, our evaluation of the irregular-fields dosimetry program currently marketed by SHM for their Rad-8 system is described. The evaluation begins with an explanation of the mathematical computation described. The evaluation begins with an explanation of the mathematical computation method, with emphasis on the points where the calculation differs from previous methods. Next, the procedure for setting up the beam data file is discussed. Finally, a step-by-step procedure is described in which calculated doses are compared with measured doses, using a Varian Clinac-4 with lead flattening filter, and the limits within which a +/- 5% accuracy is attainable are estimated. Some sources of error and areas for possible improvements are mentioned.
Analysts must deal frequently with missing data in multivariate analysis. In such cases, estimating the covariance maxtrix V of the dependent variables usually involves initial estimation and iterative adjustment of imputed missing data values, and/or smoothing of an estimate V which is not necessarily positive semi-definite. This paper presents an alternative procedure for computing estimates of relevant multivariate parameters in situations where missing data occur at random and with small probability. MISCAT is a computer program which computes multivariate ratio estimates of the means and a corresponding positive semi-definite estimate of the covariance matrix. It is an extension of GENCAT, which is a program for the generalizaed least squares analysis of categorical data. Thus, one advantage of dealing with missing data in this manner is that variation among the ratio estimates may be conveniently analyzed within MISCAT using asymptotic regression methodology, provided that sample sizes are sufficiently large. An example is given to illustrate such analysis for longitudinal data from a multicenter clinical trial.
A computer program has been written which performs a stepwise selection of variables for logistic regression using maximum likelihood estimation. The selection procedure is based on likelihood ratio tests for the coefficients. These tests are used in a forward selection and a backward elimination at each step. The use of the program is illustrated by several examples.
The possibilities for reducing in Van de Geijn's computer program the original limitations for the size and the position within the field of shielding blocks are explored. New methods are presented which are based on experimental measurements as well as more theoretical approaches, without need for any change in the program itself. Two typical clinical examples are presented and the precision obtained critically investigated.
A computer program has been developed to aid in the brachytherapy of cancer of the cervix. Using a least-squares minimization algorithm, the program will optimize the source loading in intracavitary applicators so as to reproduce, as nearly as physical considerations allow, the dose distribution requested by the user. Applicator geometry and the relative positions of anatomical points of interest must be supplied to the program, as well as an inventory of available source strengths. Output from the computer includes the optimized source loading, time of application, and the resulting relative doses to the various user-selected points of interest.
Life table analysis has traditionally been the tool of choice in analyzing distribution of "survival" times when a parametric form for the survival curve could not be reasonably assumed. Chiang, in two papers [1,2] formalized the theory of life table analyses in a Markov chain framework and derived maximum likelihood estimates of the relevant parameters for the analyses. He also discussed how the techniques could be generalized to consider competing risks and follow-up studies. Although various computer programs exist for doing different types of life table analysis [3] to date, there has not been a generally available, well documented computer program to carry out multiple decrement analyses, either by Chiang's or any other method. This paper describes such a program developed by Research Triangle Institute. A user's manual is available at printing costs which supplements the contents of this paper with a discussion of the formula used in the program listing.
This article describes a computer program for analyzing bivariate flow karyotypes of human chromosomes stained with Hoechst 33258 (HO) and chromomycin A3 (CA). The karyotype first is divided into regions that contain chromosome peaks. The chromosomes that are associated with those areas are identified. The distributions in these areas then are fitted with mathematical functions of increasing complexity. The process starts by fitting a specified number of univariate Gauss functions to projections of the HO and CA distributions of each area. The final fit can include multiple bivariate Gauss functions, including a background function for debris subtraction. The results of one stage in the fitting process serve as seed values for the next, more complex step. Since the program autonomously estimates the starting values for the iterative fitting procedures, the fit results are insensitive to operator bias and the program will consistently converge to the same solutions. The resulting table of parameter values can be used to compare flow karyotypes to a reference data set.
A set of computer programs is described which has been developed for processing electron micrographs of biological structures. The programs provide facilities for efficient image storage, enhancement and display. Extensive programs are available for analysis of images of structures with translational, rotational and helical symmetry, and for performing 3-dimensional reconstruction. The considerations which went into the design of the system are listed. A description is provided of the means of control of the main program, which performs the majority of the image processing operations, and an example is given to illustrate its use. These programs are compared with other program systems also developed for micrograph image processing.
The computer program HOWBIG has been developed based on the reciprocal correlation of size to migration distance of DNA in high voltage gradient gel systems (Southern, 1979). For calculation the program automatically chooses three marker bands migrating closest to the calculated band, reducing the error down to approximately 0.5% or less (reciprocal method, local form of calculation). The big advantages of the completely menu-driven program are high accuracy, error detectability, speed and ease of data handling. Management of marker-DNA molecular weights, data and analyses as files included in the menu driven program speeds up every-day lab work.