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3. A simple computer program for Scatchard plot analysis of hormone receptors including statistical analysis on a low cost desk top calculator. Sagripanti JL; Santa Coloma TA; Calvo JC Acta Physiol Pharmacol Latinoam; 1984; 34(1):45-53. PubMed ID: 6089500 [TBL] [Abstract][Full Text] [Related]
4. Statistical considerations in the estimation of enzyme kinetic parameters by the direct linear plot andother methods. Cornish-Bowden A; Eisenthal R Biochem J; 1974 Jun; 139(3):721-30. PubMed ID: 4854389 [TBL] [Abstract][Full Text] [Related]
6. The two-state dimer receptor model: a general model for receptor dimers. Franco R; Casadó V; Mallol J; Ferrada C; Ferré S; Fuxe K; Cortés A; Ciruela F; Lluis C; Canela EI Mol Pharmacol; 2006 Jun; 69(6):1905-12. PubMed ID: 16501032 [TBL] [Abstract][Full Text] [Related]
7. Studies on the cytosolic estrogen receptor from rat thymus. Morgan DD; Grossman CJ Thymus; 1985; 7(5):279-86. PubMed ID: 4060216 [TBL] [Abstract][Full Text] [Related]
8. A note on fitting one-compartment models: non-linear least squares versus linear least squares using transformed data. Bailer AJ; Portier CJ J Appl Toxicol; 1990 Aug; 10(4):303-6. PubMed ID: 2391411 [TBL] [Abstract][Full Text] [Related]
9. An improved processing of radioimmunoassay data by means of a desk-top calculator. (1) Comparison of regression procedures applied to selected kinds of radioimmunoassay. Ichihara K; Yamamoto Y; Kumahara Y; Miyai K Clin Chim Acta; 1977 Sep; 79(2):331-40. PubMed ID: 890969 [TBL] [Abstract][Full Text] [Related]
10. [Determination of enzyme kinetic parameters and differentiation between various mechanisms by means of a non-linear least squares method]. Haerlin R; Steinijans V Arzneimittelforschung; 1978; 28(2):292-7. PubMed ID: 580396 [TBL] [Abstract][Full Text] [Related]
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12. Comparison of graphical procedures for estimating the intrinsic molar fluorescence of protein-bound drugs for drug-binding studies. A reevaluation of existing plots and introduction of two inverse hyperbolic plots. Rajkowski KM Biochem Pharmacol; 1990 Mar; 39(5):895-900. PubMed ID: 2310414 [TBL] [Abstract][Full Text] [Related]
13. A user's experience with a standard non-linear regression program (BMDP3R). Garcia-Peña J; Azen SP Comput Programs Biomed; 1979 Sep; 10(2):185-90. PubMed ID: 487784 [TBL] [Abstract][Full Text] [Related]
14. A method of fitting non-symmetric Gompertz functions for characterising malignant growth. Gocka EF; Reed LJ Int J Biomed Comput; 1977 Oct; 8(4):247-54. PubMed ID: 591119 [TBL] [Abstract][Full Text] [Related]
15. The analysis of data from breast cancer estrogen and progesterone receptor assays: Scatchard plots are inferior to direct fitting by computer. Cooke RR; McIntosh JE Clin Chim Acta; 1986 Feb; 154(3):171-9. PubMed ID: 3955843 [TBL] [Abstract][Full Text] [Related]
17. Robust regression in biological assay: application to the evaluation of alternative experimental techniques. Marazzi A; Ruffieux C; Randriamiharisoa A Experientia; 1988 Oct; 44(10):857-73. PubMed ID: 3181372 [TBL] [Abstract][Full Text] [Related]
18. Applying sample survey methods to clinical trials data. LaVange LM; Koch GG; Schwartz TA Stat Med; 2001 Sep 15-30; 20(17-18):2609-23. PubMed ID: 11523072 [TBL] [Abstract][Full Text] [Related]
19. A computer program for linear logistic regression analysis. Lee ET Comput Programs Biomed; 1974 Oct; 4(2):80-92. PubMed ID: 4434745 [No Abstract] [Full Text] [Related]