


Journal of Clinical Oncology 1991 9: 1261-1267.īurnham KP and Anderson DR.
#Abscissa and charybdis trial
A phase I trial of taxol given by a 6-hour intravenous infusion.

Statistical Science 2002 16: 199-231.īrown T, Havlin K, Weiss G, Cagnola J, Koeller J, Kuhn J, Rizzo J, Craig J, Phillips J, and Von Hoff D. Statistical modeling: the two cultures (with commentary). Journal of the American Statistical Association 1976 71: 791-799.īox GEP and Hill WJ. Sensitivity analysis of biosystem models. Clinical Pharmacology and Therapeutics 2007 81: 213-221.īogumil RJ. Impact of pharmacometric reviews on New Drug Applications and labeling decisions – a survey of 31 New Drug Applications submitted between 20. Computer Methods and Programs in Biomedicine 2007 88: 52-61.īhattaram VA, Bonapace C, Chilukuri DM, Duan JZ, Garnett C, Gobburu JVS, Jang SH, Kenna L, Lesko LJ, Madabushi R, Men Y, Powell JR, Qiu W, Ramchandani RP, Tornoe CW, Wang Y, and Zheng JJ.
#Abscissa and charybdis software
DAISY: a new software tool to test global identifiability of biological and physiological systems. Mathematical Biosciences 1970 7: 329-339.īellu G, Saccomani MP, Audoly S, and D’Angio L. Wadsworth Publishing Company, Belmont, CA, 1989.īellman R and Astrom KJ. John Wiley & Sons, New York, 1988.īayles MD. Nonlinear Regression Analysis and its Applications. European Journal of Pharmaceutics and Biopharmaceutics 2000 50: 13-26.īates DM and Watts DG. Duxbury Press, Boston, 1987.īalant LP and Gex-Fabry M. Introduction to Probability and Mathematical Statistics. Toxicology and Applied Pharmacology 2002 182: 188-196.īain LJ and Engelhardt M. IEEE Transactions on Biomedical Engineering 1998 45: 36-47.īaille TA, Cayen MN, Fouda H, Gerson RJ, Green JD, Grossman SJ, Klunk LJ, LeBlanc B, Perkins DG, and Shipley LA. Global identifiability of linear compartmental models – a computer algebra algorithm. Oxford Science Publications, Oxford, UK, 1985.Īudoly S, D’Angio L, Saccomani MP, and Cobelli C. Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis. Two graphical displays for outlying and influential observations in regression. Journal of the American Pharmacists Association 2001 41: 567-577.ĪSCPT Pharmacometrics Task Force. Historical overview of generic medication policy.

Analyst 1988 113: 1469-1471.Īscione FJ, Kirking DM, Gaither CA, and Welage LS. Uses (proper and improper) of correlation coefficients. 267-281.Īnalytical Methods Committee and Royal Society of Chemistry. In: Second International Symposium on Information Theory, (Ed. Information theory as an extension of the maximum likelihood principle. Princeton University Press, Princeton, NJ, 1996.Īkaike H. Real Computing Made Real: Preventing Errors in Scientific Engineering Calculations. European Journal of Pharmaceutical Sciences 2001 13: 115-122.Īcton F. Role of modelling and simulation in Phase I drug development. OX or PY is the abscissa of the point P of the curve, OY or PX its ordinate, the intersecting lines OX and OY being the axes of abscissas and ordinates respectively, and the point O their origin.Aarons L, Karlsson MO, Mentre F, Rombout F, Steimer JL, Van Peer A, and invited COST B Experts. Abscissas and ordinates taken together are called coördinates. When a point in space is referred to three axes having a common intersection, the abscissa may be the distance measured parallel to either of them, from the point to the plane of the other two axes. When referred to two intersecting axes, one of them called the axis of abscissas, or of X, and the other the axis of ordinates, or of Y, the abscissa of the point is the distance cut off from the axis of X by a line drawn through it and parallel to the axis of Y. (Geom.) One of the elements of reference by which a point, as of a curve, is referred to a system of fixed rectilineal coördinate axes.
