Statistical inference for relative potency in bivariate dose-response assays with correlated responses

Journal of Biopharmaceutical Statistics

Volumn 15, Issue 2, 2005, Pages 343-351

  Iturria, Stephen J ^a  

^a ELI LILLY AND COMPANY   (United States)

Author keywords

Correlated responses; Dose response analysis; In vivo assays; Nonlinear regression; Potency estimation

Indexed keywords

ARTICLE; ASSAY; CORRELATED RESPONSE; CORRELATION ANALYSIS; CURVE FITTING; DOSE RESPONSE; DRUG POTENCY; IN VIVO STUDY; NONLINEAR REGRESSION ANALYSIS; POTENCY RATIO; PRIORITY JOURNAL; RELATIVE POTENCY; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ANALYSIS OF VARIANCE; COMPUTER SIMULATION; DOSE-RESPONSE RELATIONSHIP, DRUG; DRUG INDUSTRY; MODELS, STATISTICAL;

EID: 15544362106     PISSN: 10543406     EISSN: None     Source Type: Journal    
DOI: 10.1081/BIP-200048798     Document Type: Article

References (5)

1. Huber, P. J. (1969). The behavior of maximum likelihood estimation under nonstandard conditions. In: LeCam, L. M., Neyman, J., eds. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability. Berkeley: University of California Press.
2. Kennakin, T. (2004). A Pharmacology Primer: Theory, Application, and Methods. London: Elsevier Academic Press.
3. Lange, K. (1999). Numerical Analysis for Statisticians. New York: Springer-Verlag.
4. White, H. (1982). Maximum likelihood estimation of misspecified models. Econometrica 50:1-25.
5. Zeger, S. L., Liang, K-Y. (1986). Longitudinal data analysis for discrete and continuous outcomes. Biometrics 42:121-130.