220 related articles for article (PubMed ID: 18266288)
41. Modeling health survey data with excessive zero and K responses.
Lin TH; Tsai MH
Stat Med; 2013 Apr; 32(9):1572-83. PubMed ID: 23055240
[TBL] [Abstract][Full Text] [Related]
42. Mixed Poisson regression models with covariate dependent rates.
Wang P; Puterman ML; Cockburn I; Le N
Biometrics; 1996 Jun; 52(2):381-400. PubMed ID: 10766499
[TBL] [Abstract][Full Text] [Related]
43. Generalized linear models with ordinally-observed covariates.
Johnson TR
Br J Math Stat Psychol; 2006 Nov; 59(Pt 2):275-300. PubMed ID: 17067413
[TBL] [Abstract][Full Text] [Related]
44. An aspect of discrete data analysis: fitting a beta-binomial distribution to the hospitals' data.
Altham PM
Dev Biol (Basel); 2002; 107():77-83. PubMed ID: 12079195
[TBL] [Abstract][Full Text] [Related]
45. Regression models for mixed Poisson and continuous longitudinal data.
Yang Y; Kang J; Mao K; Zhang J
Stat Med; 2007 Sep; 26(20):3782-800. PubMed ID: 17133630
[TBL] [Abstract][Full Text] [Related]
46. Generalized additive modeling with implicit variable selection by likelihood-based boosting.
Tutz G; Binder H
Biometrics; 2006 Dec; 62(4):961-71. PubMed ID: 17156269
[TBL] [Abstract][Full Text] [Related]
47. Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zeros.
Kassahun W; Neyens T; Molenberghs G; Faes C; Verbeke G
Stat Med; 2014 Nov; 33(25):4402-19. PubMed ID: 24957791
[TBL] [Abstract][Full Text] [Related]
48. Zero-inflated Poisson and binomial regression with random effects: a case study.
Hall DB
Biometrics; 2000 Dec; 56(4):1030-9. PubMed ID: 11129458
[TBL] [Abstract][Full Text] [Related]
49. Additive models for geo-referenced failure time data.
Ganguli B; Wand MP
Stat Med; 2006 Jul; 25(14):2469-82. PubMed ID: 16220508
[TBL] [Abstract][Full Text] [Related]
50. Bivariate poisson-poisson model of zero-inflated absenteeism data.
Cheung YB; Lam KF
Stat Med; 2006 Nov; 25(21):3707-17. PubMed ID: 16381071
[TBL] [Abstract][Full Text] [Related]
51. [Application of detecting and taking overdispersion into account in Poisson regression model].
Bouche G; Lepage B; Migeot V; Ingrand P
Rev Epidemiol Sante Publique; 2009 Aug; 57(4):285-96. PubMed ID: 19540683
[TBL] [Abstract][Full Text] [Related]
52. Minimum Hellinger distance estimation for k-component poisson mixture with random effects.
Xiang L; Yau KK; Van Hui Y; Lee AH
Biometrics; 2008 Jun; 64(2):508-18. PubMed ID: 17970817
[TBL] [Abstract][Full Text] [Related]
53. Testing homogeneity of two zero-inflated Poisson populations.
Tse SK; Chow SC; Lu Q; Cosmatos D
Biom J; 2009 Feb; 51(1):159-70. PubMed ID: 19219907
[TBL] [Abstract][Full Text] [Related]
54. Comparing statistical methods for analyzing skewed longitudinal count data with many zeros: an example of smoking cessation.
Xie H; Tao J; McHugo GJ; Drake RE
J Subst Abuse Treat; 2013 Jul; 45(1):99-108. PubMed ID: 23453482
[TBL] [Abstract][Full Text] [Related]
55. Characterizing the performance of the Conway-Maxwell Poisson generalized linear model.
Francis RA; Geedipally SR; Guikema SD; Dhavala SS; Lord D; LaRocca S
Risk Anal; 2012 Jan; 32(1):167-83. PubMed ID: 21801191
[TBL] [Abstract][Full Text] [Related]
56. Poisson regression analysis in clinical research.
Kianifard F; Gallo PP
J Biopharm Stat; 1995 Mar; 5(1):115-29. PubMed ID: 7613557
[TBL] [Abstract][Full Text] [Related]
57. Regression modeling of combined data from multiple sample surveys.
Li L; Levy PS
Stat Med; 2009 Jul; 28(16):2160-9. PubMed ID: 19462413
[TBL] [Abstract][Full Text] [Related]
58. The zero-inflated negative binomial regression model with correction for misclassification: an example in caries research.
Mwalili SM; Lesaffre E; Declerck D
Stat Methods Med Res; 2008 Apr; 17(2):123-39. PubMed ID: 17698937
[TBL] [Abstract][Full Text] [Related]
59. The Gamma-Poisson model as a statistical method to determine if micro-organisms are randomly distributed in a food matrix.
Toft N; Innocent GT; Mellor DJ; Reid SW
Food Microbiol; 2006 Feb; 23(1):90-4. PubMed ID: 16942991
[TBL] [Abstract][Full Text] [Related]
60. A robust Bayesian mixed effects approach for zero inflated and highly skewed longitudinal count data emanating from the zero inflated discrete Weibull distribution.
Burger DA; Schall R; Ferreira JT; Chen DG
Stat Med; 2020 Apr; 39(9):1275-1291. PubMed ID: 32092193
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]