Nonlinear model-based estimates of IC50 for studies involving continuous therapeutic dose-response data

Contemporary Clinical Trials

Volumn 29, Issue 6, 2008, Pages 878-886

  Lyles, Robert H ^a   Poindexter, Cliff ^b   Evans, Angelo ^c   Brown, Milton ^d   Cooper, Carlton R ^c  

^a EMORY UNIVERSITY   (United States)

^b MIDI Inc   (United States)

^c UNIVERSITY OF DELAWARE   (United States)

^d GEORGETOWN UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Dose response; Hormesis; Nonlinear model; Pre clinical studies; Precision

Indexed keywords

ARTICLE; BONE MARROW CELL; CELL DIVISION; CELL LINE; DOSE RESPONSE; ENDOTHELIUM CELL; HORMESIS; HUMAN; HUMAN CELL; IC 50; IN VITRO STUDY; MODEL; NONLINEAR SYSTEM;

DATA INTERPRETATION, STATISTICAL; DOSE-RESPONSE RELATIONSHIP, DRUG; HUMANS; INHIBITORY CONCENTRATION 50; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS; MODELS, STATISTICAL; NONLINEAR DYNAMICS; RESEARCH DESIGN;

EID: 53649083713     PISSN: 15517144     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cct.2008.05.009     Document Type: Article

References (18)

1. Meddings J.B., Scott R.B., and Fick G.H. Analysis and comparison of sigmoidal curves: application to dose-response data. Am J Physiol: Gasterointest Liver Physiol 257 (1989) G982-G989
2. 50 estimation. J Nat Products-Lloydia 58 6 (1995) 823-829
3. Almeida-Porada G., and Ascensao J.L. Isolation, characterization, and biologic features of bone marrow endothelial cells. J Lab Clin Med 128 (1996) 399-407
4. Schweitzer K.M., Vicart P., Delouis C., Paulin D., Drager A.M., Langenhuijsen M.M.A.C., et al. Characterization of a newly established human bone marrow endothelial cell line: distinct adhesive properties for hematopoietic progenitors compared with human umbilical vein endothelial cells. Lab Invest 76 (1997) 25-36
5. Cooper C.R., Sikes R.A., Poindexter C., Brennen W.N., Green J., Capitosti S., et al. A novel compound inhibits the growth of human bone marrow endothelial cells and bone metastasizing prostate cancer cells. J Bone Miner Res 19 (2004) 1586-1586
6. Morrissey C., True L.D., Roudier M.P., Coleman I.M., Hawley S., Nelson P.S., et al. Differential expression of angiogenesis associated genes in prostate cancer bone, liver, and lymph node metastases. Clin Exp Metastasis (2007) [Electronic publication].
7. Chavez-Macgregor M., Aviles-Salas A., et al. Angiogenesis in the bone marrow of patients with breast cancer. Clin Cancer Res 11 (2005) 5396-5400
8. Lee E.T. Statistical methods for survival data analysis (1992), Wiley, New York
9. Chiang C.L. An introduction to stochastic processes and their applications (1980), Robert E. Krieger Publishing Co., Huntington, N.Y.
10. Schabenberger O., Tharp B.E., Kells J.J., and Penner D. Statistical tests for hormesis and effective dosages in herbicide dose response. Agronomy J 91 4 (1999) 713-721
11. Stephenson G.L., Koper N., Atkinson G.F., Solomon K.R., and Scroggins R.P. Use of nonlinear regression techniques for describing concentration-response relationships of plant species exposed to contamination site soils. Environ Toxicol Chem 19 12 (2000) 2968-2981
12. SAS Institute, Inc. SAS/STAT 9.1 user's guide (2004), SAS Institute, Inc., Cary, N.C.
13. SAS Institute, Inc. SAS IML user's guide (2004), SAS Institute, Inc., Cary, N.C.
14. Kutner M.H., Nachtsheim C.J., Neter J., and Li W. Applied linear statistical models. 5th edition (2005), WCB McGraw-Hill, Boston
15. Ritz C., and Streibig J.C. Bioassay analysis using R. J Stat Software 12 5 (2005) 1-22
16. Brain P., and Cousens R. An equation to describe dose responses when there is stimulation of growth at low doses. Weed Res 29 (1989) 93-96
17. 50 and its confidence interval when subtoxic stimulus is present. Ecotoxicol Environ Saf 25 (1993) 25-32
18. Neill J.W. Testing for lack of fit in nonlinear regression. Ann Stat 16 2 (1988) 733-740