291 related articles for article (PubMed ID: 15737091)
1. Bias-corrected maximum likelihood estimator of the negative binomial dispersion parameter.
Saha K; Paul S
Biometrics; 2005 Mar; 61(1):179-85. PubMed ID: 15737091
[TBL] [Abstract][Full Text] [Related]
2. Bias-corrected maximum likelihood estimator of the intraclass correlation parameter for binary data.
Saha KK; Paul SR
Stat Med; 2005 Nov; 24(22):3497-512. PubMed ID: 16007569
[TBL] [Abstract][Full Text] [Related]
3. Interval estimation of the over-dispersion parameter in the analysis of one-way layout of count data.
Saha KK
Stat Med; 2011 Jan; 30(1):39-51. PubMed ID: 20839369
[TBL] [Abstract][Full Text] [Related]
4. Small-sample estimation of negative binomial dispersion, with applications to SAGE data.
Robinson MD; Smyth GK
Biostatistics; 2008 Apr; 9(2):321-32. PubMed ID: 17728317
[TBL] [Abstract][Full Text] [Related]
5. A stabilized moment estimator for the beta-binomial distribution.
Tamura RN; Young SS
Biometrics; 1987 Dec; 43(4):813-24. PubMed ID: 3427166
[TBL] [Abstract][Full Text] [Related]
6. Maximum likelihood estimation for the negative binomial dispersion parameter.
Piegorsch WW
Biometrics; 1990 Sep; 46(3):863-7. PubMed ID: 2242417
[No Abstract] [Full Text] [Related]
7. A comparison of two bias-corrected covariance estimators for generalized estimating equations.
Lu B; Preisser JS; Qaqish BF; Suchindran C; Bangdiwala SI; Wolfson M
Biometrics; 2007 Sep; 63(3):935-41. PubMed ID: 17825023
[TBL] [Abstract][Full Text] [Related]
8. The distribution of the maximum likelihood estimator in up-and-down experiments for quantal dose-response data.
Vågerö M; Sundberg R
J Biopharm Stat; 1999 Aug; 9(3):499-519. PubMed ID: 10473034
[TBL] [Abstract][Full Text] [Related]
9. A comparative study of conditional maximum likelihood estimation of a common odds ratio.
Hauck WW
Biometrics; 1984 Dec; 40(4):1117-23. PubMed ID: 6534412
[TBL] [Abstract][Full Text] [Related]
10. Jackknife estimators of variance for parameter estimates from estimating equations with applications to clustered survival data.
Lipsitz SR; Dear KB; Zhao L
Biometrics; 1994 Sep; 50(3):842-6. PubMed ID: 7981404
[TBL] [Abstract][Full Text] [Related]
11. Estimators of the local false discovery rate designed for small numbers of tests.
Padilla M; Bickel DR
Stat Appl Genet Mol Biol; 2012 Oct; 11(5):4. PubMed ID: 23079518
[TBL] [Abstract][Full Text] [Related]
12. Analysis of embryonic development with a model for under- or overdispersion relative to binomial variation.
Engel B; te Brake J
Biometrics; 1993 Mar; 49(1):269-79. PubMed ID: 8513109
[TBL] [Abstract][Full Text] [Related]
13. Maximum likelihood estimation of correction for dilution bias in simple linear regression using replicates from subjects with extreme first measurements.
Berglund L; Garmo H; Lindbäck J; Svärdsudd K; Zethelius B
Stat Med; 2008 Sep; 27(22):4397-407. PubMed ID: 18618419
[TBL] [Abstract][Full Text] [Related]
14. A comparison of heterogeneity variance estimators in combining results of studies.
Sidik K; Jonkman JN
Stat Med; 2007 Apr; 26(9):1964-81. PubMed ID: 16955539
[TBL] [Abstract][Full Text] [Related]
15. Modeling motor vehicle crashes using Poisson-gamma models: examining the effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter.
Lord D
Accid Anal Prev; 2006 Jul; 38(4):751-66. PubMed ID: 16545328
[TBL] [Abstract][Full Text] [Related]
16. Two-stage method of estimation for general linear growth curve models.
Stukel TA; Demidenko E
Biometrics; 1997 Jun; 53(2):720-8. PubMed ID: 9192460
[TBL] [Abstract][Full Text] [Related]
17. Nearly unbiased estimators for the three-parameter Weibull distribution with greater efficiency than the iterative likelihood method.
Cousineau D
Br J Math Stat Psychol; 2009 Feb; 62(Pt 1):167-91. PubMed ID: 18177546
[TBL] [Abstract][Full Text] [Related]
18. Estimating the mean value of occupational exposures.
Zhou XH
Am Ind Hyg Assoc J; 1998 Nov; 59(11):785-8. PubMed ID: 9830086
[TBL] [Abstract][Full Text] [Related]
19. Small-sample bias of point estimators of the odds ratio from matched sets.
Jewell NP
Biometrics; 1984 Jun; 40(2):421-35. PubMed ID: 6487726
[TBL] [Abstract][Full Text] [Related]
20. An evaluation of some methods for fitting dose-response models to quantal-response developmental toxicology data.
Carr GJ; Portier CJ
Biometrics; 1993 Sep; 49(3):779-91. PubMed ID: 8241373
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
