Random effects and variances as a synthesis of nonlinear regression analyses of mitochondrial electron transport

Abstract

SUMMARY This cross-disciplinary paper develops random effects and variances methods, especially for small samples within effects, and applies them to mitochondrial enzyme kinetics. A new force flux kinetic model is introduced for the alternative oxidase of plant mitochondria, the results of 42 experiments are published and the force flux function is fitted by nonlinear regression for each experiment. The results of the regression analyses are synthesized by a random effects model specifying random nonlinear regression coefficients and random variances within experiments distributed in an inverse gamma distribution.