179 related articles for article (PubMed ID: 9544509)
1. A method for parametric estimation of the number and size distribution of cell clusters from observations in a section plane.
de Gunst MC; Luebeck EG
Biometrics; 1998 Mar; 54(1):100-12. PubMed ID: 9544509
[TBL] [Abstract][Full Text] [Related]
2. A clonal growth model: time-course simulations of liver foci growth following penta- or hexachlorobenzene treatment in a medium-term bioassay.
Ou YC; Conolly RB; Thomas RS; Xu Y; Andersen ME; Chubb LS; Pitot HC; Yang RS
Cancer Res; 2001 Mar; 61(5):1879-89. PubMed ID: 11280742
[TBL] [Abstract][Full Text] [Related]
3. A physiologically based pharmacodynamic analysis of hepatic foci within a medium-term liver bioassay using pentachlorobenzene as a promoter and diethylnitrosamine as an initiator.
Thomas RS; Conolly RB; Gustafson DL; Long ME; Benjamin SA; Yang RS
Toxicol Appl Pharmacol; 2000 Jul; 166(2):128-37. PubMed ID: 10896854
[TBL] [Abstract][Full Text] [Related]
4. Incorporating additional biological phenomena into two-stage cancer models.
Sielken RL; Bretzlaff RS; Stevenson DE
Prog Clin Biol Res; 1994; 387():237-60. PubMed ID: 7972250
[TBL] [Abstract][Full Text] [Related]
5. A stochastic model to analyze clonal data on multi-type cell populations.
Hyrien O; Mayer-Pröschel M; Noble M; Yakovlev A
Biometrics; 2005 Mar; 61(1):199-207. PubMed ID: 15737094
[TBL] [Abstract][Full Text] [Related]
6. Exploring heterogeneity in tumour data using Markov chain Monte Carlo.
de Gunst MC; Dewanji A; Luebeck EG
Stat Med; 2003 May; 22(10):1691-707. PubMed ID: 12720305
[TBL] [Abstract][Full Text] [Related]
7. Quantitative analysis of tumor initiation in rat liver: role of cell replication and cell death (apoptosis).
Grasl-Kraupp B; Luebeck G; Wagner A; Löw-Baselli A; de Gunst M; Waldhör T; Moolgavkar S; Schulte-Hermann R
Carcinogenesis; 2000 Jul; 21(7):1411-21. PubMed ID: 10874021
[TBL] [Abstract][Full Text] [Related]
8. Stochastic description of initiation and promotion in experimental carcinogenesis.
Luebeck EG; Moolgavkar SH
Ann Ist Super Sanita; 1991; 27(4):575-80. PubMed ID: 1840318
[TBL] [Abstract][Full Text] [Related]
9. Toxicogenomic analysis of N-nitrosomorpholine induced changes in rat liver: comparison of genomic and proteomic responses and anchoring to histopathological parameters.
Oberemm A; Ahr HJ; Bannasch P; Ellinger-Ziegelbauer H; Glückmann M; Hellmann J; Ittrich C; Kopp-Schneider A; Kramer PJ; Krause E; Kröger M; Kiss E; Richter-Reichhelm HB; Scholz G; Seemann K; Weimer M; Gundert-Remy U
Toxicol Appl Pharmacol; 2009 Dec; 241(2):230-45. PubMed ID: 19716841
[TBL] [Abstract][Full Text] [Related]
10. [The parasite capacity of the host population].
Kozminskiĭ EV
Parazitologiia; 2002; 36(1):48-59. PubMed ID: 11965643
[TBL] [Abstract][Full Text] [Related]
11. Stochastic vs. deterministic uptake of dodecanedioic acid by isolated rat livers.
Ditlevsen S; de Gaetano A
Bull Math Biol; 2005 May; 67(3):547-61. PubMed ID: 15820742
[TBL] [Abstract][Full Text] [Related]
12. Clustering of change patterns using Fourier coefficients.
Kim J; Kim H
Bioinformatics; 2008 Jan; 24(2):184-91. PubMed ID: 18025003
[TBL] [Abstract][Full Text] [Related]
13. Application of a two-phenotype color-shift model with heterogeneous growth to a rat hepatocarcinogenesis experiment.
Groos J; Kopp-Schneider A
Math Biosci; 2010 Apr; 224(2):95-100. PubMed ID: 20043929
[TBL] [Abstract][Full Text] [Related]
14. Genetic resistance to chemical carcinogen-induced preneoplastic hepatic lesions in DRH strain rats.
Zeng ZZ; Higashi S; Kitayama W; Denda A; Yan Y; Matsuo K; Konishi Y; Hiai H; Higashi K
Cancer Res; 2000 Jun; 60(11):2876-81. PubMed ID: 10850431
[TBL] [Abstract][Full Text] [Related]
15. Modelling animal growth in random environments: An application using nonparametric estimation.
Filipe PA; Braumann CA; Brites NM; Roquete CJ
Biom J; 2010 Oct; 52(5):653-66. PubMed ID: 20976695
[TBL] [Abstract][Full Text] [Related]
16. Quantitative analysis of enzyme-altered foci in rat hepatocarcinogenesis experiments--I. Single agent regimen.
Moolgavkar SH; Luebeck EG; de Gunst M; Port RE; Schwarz M
Carcinogenesis; 1990 Aug; 11(8):1271-8. PubMed ID: 2143703
[TBL] [Abstract][Full Text] [Related]
17. Application of a color-shift model with heterogeneous growth to a rat hepatocarcinogenesis experiment.
Groos J; Kopp-Schneider A
Math Biosci; 2006 Aug; 202(2):248-68. PubMed ID: 16603206
[TBL] [Abstract][Full Text] [Related]
18. Computer simulation of cell growth governed by stochastic processes: application to clonal growth cancer models.
Conolly RB; Kimbell JS
Toxicol Appl Pharmacol; 1994 Feb; 124(2):284-95. PubMed ID: 8122275
[TBL] [Abstract][Full Text] [Related]
19. Estimation of the size distribution of fibrillar centres in nucleoli--an example of the "Swiss cheese" problem in stereology.
Keiding N; Andersen L
Biometrics; 1992 Jun; 48(2):449-58. PubMed ID: 1637971
[TBL] [Abstract][Full Text] [Related]
20. Statistical models for autocorrelated count data.
Nelson KP; Leroux BG
Stat Med; 2006 Apr; 25(8):1413-30. PubMed ID: 16196078
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
