A simple computational approach to model parameter estimation.
The desire to describe biological data using mathematical models has led to the rapid development of various analytical techniques for model identification and parameter estimation. The procedures used may be non-linear and complex, and require long calculation periods. Thus, the aid of a personal computer renders efficient the application of these rather complicated procedures. In this study we developed a simple identification programme for heparan sulfate pharmacodynamics which can be easily and rapidly implemented on a personal computer. The programme is based on an iterative algorithm performing a non-linear regression analysis by the least-square method. This programme was applied to a clinical measured variables with which it was possible to quantify the pharmacodynamic effect of heparan sulfate.
Blardi
P
P
Istituto di Clinica Medica Generale e Terapia Medica, Università degli Studi di Siena, Italy.
Barbini
P
P
Di Perri
T
T
D000368:Aged; D000465:Algorithms; D004311:Double-Blind Method; D005260:Female; D006497:Heparan Sulfate / Q000008:administration & dosage / Q000494:pharmacology*; D006801:Humans; D016018:Least-Squares Analysis; D008297:Male; D008838:Microcomputers; D008875:Middle Aged; D015849:Plasminogen Inactivators / Q000097:blood; D012712:Serum Globulins / Q000378:metabolism; D012984:Software; D010959:Tissue Plasminogen Activator / Q000097:blood; D014652:Vascular Diseases / Q000097:blood / Q000188:drug therapy*
D006497:Heparan Sulfate; D015849:Plasminogen Inactivators; D012712:Serum Globulins; D010959:Tissue Plasminogen Activator