title: Efficient exponential regression with exact fiducial limits to fit cardiac pressure data.
abstract: Many observations in the biological field can adequately be fitted to an exponential regression equation, commonly in the form y = alpha + beta eyx. However, the exact confidential limits of the parameters remain a problem. An algorithm to solve this problem is proposed here and tested with experimental data obtained from ventricular pressure measurements in isolated working small animal hearts. A subroutine based on this algorithm is written in Borland's Turbo-Pascal but easily portable to other languages.
authors.affiliation: Institute of Physiology, Free University Berlin, Germany. langer@mail.grumed.fu-berlin.de
authors.forename: S F
authors.initials: SF
authors.lastname: Langer
mesh_terms: D006321:Heart / Q000502:physiology; D006801:Humans; D012044:Regression Analysis; D012984:Software; D017725:Ventricular Pressure