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PubMed1986

Linear regression software for intraocular lens implant power calculation.

Regression equations for the calculation of intraocular lens power are popular. Because some of the variables in cataract surgery are surgeon-specific, every surgeon should ideally have a personalized formula. We have developed software enabling those with access to IBM-compatible microcomputers to develop equations based on their own data.

Computers↗
PubMed1983

A simplified method to determine binding parameters in a two-site case using linear regression.

A program using a simplified method to compute estimates of binding parameters in a system with two independent classes of binding sites is presented. An iterative method is used to approximate step-by-step the two lines describing the binding activities separately, starting from a curvilinear Scatchard or Hofstee plot. This method is designed for use on microcomputers with graphic facilities and on programmable hand-held calculators.

Binding Sites↗
PubMed1990

Estimation of flux control coefficients from inhibitor titrations by non-linear regression.

A mathematical model was developed to estimate flux control coefficients (Co) from titration studies with specific non-competitive inhibitors. In contrast to the normally used graphical determination the model pays regard to the dissociation equilibrium (KD) that exists between inhibitor and its binding sites (Eo) as well as to an objective estimation of the initial slope. The model was used for the analysis of titration experiments where the respiration of rat liver mitochondria was inhibited with carboxyatractyloside and antimycin A. It is shown that the graphical estimation of Eo and Co lead to significant overestimation if the ratio KD/Eo is larger than 10(-4) which can be avoided by using our model.

Animals↗
PubMed1986

Electronic spreadsheet program for estimating two-compartment intravenous pharmacokinetic parameters by least squares linear regression analysis.

A microcomputer program using an electronic spreadsheet program was developed to calculate pharmacokinetic values of thiacetarsamide sodium, a drug used to kill the adult heartworm (Dirofilaria immitis) parasite of the dog. A least squares, semilogarithmic regression analysis was done on data using a two compartment intravenous model. The data entered includes the time after injection and the drug concentration at that time. A graph of the points can be viewed or plotted, with the time on the x-axis, and the natural log of the drug concentration on the y-axis. The program was developed on a Televideo (512 kbytes) microcomputer. The spreadsheet used was Lotus 123 with the pharmacokinetics program occupying 16 kbytes of memory (720 cells) out of the 400 kbytes available with Lotus.

Animals↗
PubMed1988

Application of linear regressions to the comparison of analytical procedures for the determination of SO2 in ambient air.

Three commonly used analytical methods for the determination of SO2 in ambient air were compared during 10 months at six different sites. The acidimetric method, used in the Sulfur-Black Smoke network, and the FPD method, used in the Belgian Automatic Network for Air Pollution, were compared with the TCM reference method. Several regression methods were used to calculate the relationships between the daily averages obtained by the three measuring techniques. Knowledge of the relative importance of the errors on the different sets of data was a determining factor for the selection of the most suitable regression method. The results show good agreement between the three methods during the field-test period.

Air Pollutants↗
PubMed1982

The evaluation of educational and economic effects on life expectation by linear regression analysis.

Socioeconomic effects are supposed to have a fairly long time delay in regard to health development. Taking into consideration time lags, correlation and regression analysis are executed to explain the difference in health levels which exist among countries. The infant mortality rate, life expectation at birth, adult literacy rate, proportions of school enrollment and GNP per capita are taken as variables and their characteristics are discussed. In addition, countries are divided into three groups, i.e. low income, middle income, and industrialized countries, to show that the educational and economic effects on health development vary according to the economic level of the countries.

Developing Countries↗