184 related articles for article (PubMed ID: 18565167)
1. Inference for clustered inhomogeneous spatial point processes.
Henrys PA; Brown PE
Biometrics; 2009 Jun; 65(2):423-30. PubMed ID: 18565167
[TBL] [Abstract][Full Text] [Related]
2. Cluster detection based on spatial associations and iterated residuals in generalized linear mixed models.
Zhang T; Lin G
Biometrics; 2009 Jun; 65(2):353-60. PubMed ID: 18549423
[TBL] [Abstract][Full Text] [Related]
3. Diagnosis of random-effect model misspecification in generalized linear mixed models for binary response.
Huang X
Biometrics; 2009 Jun; 65(2):361-8. PubMed ID: 18759837
[TBL] [Abstract][Full Text] [Related]
4. Clustering in the presence of scatter.
Maitra R; Ramler IP
Biometrics; 2009 Jun; 65(2):341-52. PubMed ID: 18537949
[TBL] [Abstract][Full Text] [Related]
5. Partly functional temporal process regression with semiparametric profile estimating functions.
Yan J; Huang J
Biometrics; 2009 Jun; 65(2):431-40. PubMed ID: 18547299
[TBL] [Abstract][Full Text] [Related]
6. On comparison of mixture models for closed population capture-recapture studies.
Xuan Mao C; You N
Biometrics; 2009 Jun; 65(2):547-53. PubMed ID: 18510651
[TBL] [Abstract][Full Text] [Related]
7. Testing marginal homogeneity against stochastic order in multivariate ordinal data.
Klingenberg B; Solari A; Salmaso L; Pesarin F
Biometrics; 2009 Jun; 65(2):452-62. PubMed ID: 18510649
[TBL] [Abstract][Full Text] [Related]
8. Related causal frameworks for surrogate outcomes.
Joffe MM; Greene T
Biometrics; 2009 Jun; 65(2):530-8. PubMed ID: 18759836
[TBL] [Abstract][Full Text] [Related]
9. Exact confidence bounds following adaptive group sequential tests.
Brannath W; Mehta CR; Posch M
Biometrics; 2009 Jun; 65(2):539-46. PubMed ID: 18759843
[TBL] [Abstract][Full Text] [Related]
10. Cluster pattern detection in spatial data based on Monte Carlo inference.
Stoica RS; Gay E; Kretzschmar A
Biom J; 2007 Aug; 49(4):505-19. PubMed ID: 17638287
[TBL] [Abstract][Full Text] [Related]
11. Second-order analysis of inhomogeneous spatial point processes using case-control data.
Diggle PJ; Gómez-Rubio V; Brown PE; Chetwynd AG; Gooding S
Biometrics; 2007 Jun; 63(2):550-7. PubMed ID: 17688507
[TBL] [Abstract][Full Text] [Related]
12. Marginal hazards regression for retrospective studies within cohort with possibly correlated failure time data.
Kang S; Cai J
Biometrics; 2009 Jun; 65(2):405-14. PubMed ID: 18565164
[TBL] [Abstract][Full Text] [Related]
13. Nonparametric association analysis of exchangeable clustered competing risks data.
Cheng Y; Fine JP; Kosorok MR
Biometrics; 2009 Jun; 65(2):385-93. PubMed ID: 18549422
[TBL] [Abstract][Full Text] [Related]
14. On assessing surrogacy in a single trial setting using a semicompeting risks paradigm.
Ghosh D
Biometrics; 2009 Jun; 65(2):521-9. PubMed ID: 18759839
[TBL] [Abstract][Full Text] [Related]
15. Proportional hazards regression for cancer studies.
Ghosh D
Biometrics; 2008 Mar; 64(1):141-8. PubMed ID: 17573863
[TBL] [Abstract][Full Text] [Related]
16. Joint modeling and analysis of longitudinal data with informative observation times.
Liang Y; Lu W; Ying Z
Biometrics; 2009 Jun; 65(2):377-84. PubMed ID: 18759841
[TBL] [Abstract][Full Text] [Related]
17. Marginal mark regression analysis of recurrent marked point process data.
French B; Heagerty PJ
Biometrics; 2009 Jun; 65(2):415-22. PubMed ID: 18573132
[TBL] [Abstract][Full Text] [Related]
18. An estimating function approach to inference for inhomogeneous Neyman-Scott processes.
Waagepetersen RP
Biometrics; 2007 Mar; 63(1):252-8. PubMed ID: 17447951
[TBL] [Abstract][Full Text] [Related]
19. Modelling tree roots in mixed forest stands by inhomogeneous marked Gibbs point processes.
Eckel S; Fleischer F; Grabarnik P; Kazda M; Särkkä A; Schmidt V
Biom J; 2009 Jun; 51(3):522-39. PubMed ID: 19572316
[TBL] [Abstract][Full Text] [Related]
20. Inference based on kernel estimates of the relative risk function in geographical epidemiology.
Hazelton ML; Davies TM
Biom J; 2009 Feb; 51(1):98-109. PubMed ID: 19197958
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]