131 related articles for article (PubMed ID: 37427717)
1. A Bayesian multivariate spatial approach for illness-death survival models.
Llopis-Cardona F; Armero C; Sanfélix-Gimeno G
Stat Methods Med Res; 2023 Sep; 32(9):1633-1648. PubMed ID: 37427717
[TBL] [Abstract][Full Text] [Related]
2. Estimating disease incidence rates and transition probabilities in elderly patients using multi-state models: a case study in fragility fracture using a Bayesian approach.
Llopis-Cardona F; Armero C; Sanfélix-Gimeno G
BMC Med Res Methodol; 2023 Feb; 23(1):40. PubMed ID: 36788479
[TBL] [Abstract][Full Text] [Related]
3. Approximate Bayesian inference for multivariate point pattern analysis in disease mapping.
Palmí-Perales F; Gómez-Rubio V; López-Abente G; Ramis R; Sanz-Anquela JM; Fernández-Navarro P
Biom J; 2021 Mar; 63(3):632-649. PubMed ID: 33345346
[TBL] [Abstract][Full Text] [Related]
4. Incidence of Subsequent Hip Fracture and Mortality in Elderly Patients: A Multistate Population-Based Cohort Study in Eastern Spain.
Llopis-Cardona F; Armero C; Hurtado I; García-Sempere A; Peiró S; Rodríguez-Bernal CL; Sanfélix-Gimeno G
J Bone Miner Res; 2022 Jun; 37(6):1200-1208. PubMed ID: 35441744
[TBL] [Abstract][Full Text] [Related]
5. Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations.
Rustand D; van Niekerk J; Krainski ET; Rue H; Proust-Lima C
Biostatistics; 2024 Apr; 25(2):429-448. PubMed ID: 37531620
[TBL] [Abstract][Full Text] [Related]
6. Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models.
Barber X; Conesa D; Lladosa S; López-Quílez A
Geospat Health; 2016 Apr; 11(1):415. PubMed ID: 27087038
[TBL] [Abstract][Full Text] [Related]
7. Comparing multilevel and Bayesian spatial random effects survival models to assess geographical inequalities in colorectal cancer survival: a case study.
Dasgupta P; Cramb SM; Aitken JF; Turrell G; Baade PD
Int J Health Geogr; 2014 Oct; 13():36. PubMed ID: 25280499
[TBL] [Abstract][Full Text] [Related]
8. Spatio-temporal models of bovine tuberculosis in the Irish cattle population, 2012-2019.
Madden JM; McGrath G; Sweeney J; Murray G; Tratalos JA; More SJ
Spat Spatiotemporal Epidemiol; 2021 Nov; 39():100441. PubMed ID: 34774256
[TBL] [Abstract][Full Text] [Related]
9. Alleviating spatial confounding in frailty models.
Azevedo DRM; Prates MO; Bandyopadhyay D
Biostatistics; 2023 Oct; 24(4):945-961. PubMed ID: 35851399
[TBL] [Abstract][Full Text] [Related]
10. The impact of spatial scales and spatial smoothing on the outcome of bayesian spatial model.
Kang SY; McGree J; Mengersen K
PLoS One; 2013; 8(10):e75957. PubMed ID: 24146799
[TBL] [Abstract][Full Text] [Related]
11. A Bayesian spatiotemporal statistical analysis of out-of-hospital cardiac arrests.
Peluso S; Mira A; Rue H; Tierney NJ; Benvenuti C; Cianella R; Caputo ML; Auricchio A
Biom J; 2020 Jul; 62(4):1105-1119. PubMed ID: 32011763
[TBL] [Abstract][Full Text] [Related]
12. Bayesian spatial modelling of geostatistical data using INLA and SPDE methods: A case study predicting malaria risk in Mozambique.
Moraga P; Dean C; Inoue J; Morawiecki P; Noureen SR; Wang F
Spat Spatiotemporal Epidemiol; 2021 Nov; 39():100440. PubMed ID: 34774255
[TBL] [Abstract][Full Text] [Related]
13. On fitting spatio-temporal disease mapping models using approximate Bayesian inference.
Ugarte MD; Adin A; Goicoa T; Militino AF
Stat Methods Med Res; 2014 Dec; 23(6):507-30. PubMed ID: 24713158
[TBL] [Abstract][Full Text] [Related]
14. Bayesian spatial analysis of crash severity data with the INLA approach: Assessment of different identification constraints.
Barmoudeh L; Baghishani H; Martino S
Accid Anal Prev; 2022 Mar; 167():106570. PubMed ID: 35121505
[TBL] [Abstract][Full Text] [Related]
15. Bayesian inference for smoking cessation with a latent cure state.
Luo S; Crainiceanu CM; Louis TA; Chatterjee N
Biometrics; 2009 Sep; 65(3):970-8. PubMed ID: 19173701
[TBL] [Abstract][Full Text] [Related]
16. Bayesian and network models with covariate effects for predicting heating energy demand.
Juan P; Braulio-Gonzalo M; Díaz-Ávalos C; Bovea MD; Serra L
Spat Spatiotemporal Epidemiol; 2022 Nov; 43():100547. PubMed ID: 36460453
[TBL] [Abstract][Full Text] [Related]
17. Accounting for individual-specific variation in habitat-selection studies: Efficient estimation of mixed-effects models using Bayesian or frequentist computation.
Muff S; Signer J; Fieberg J
J Anim Ecol; 2020 Jan; 89(1):80-92. PubMed ID: 31454066
[TBL] [Abstract][Full Text] [Related]
18. A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations.
Skarstein E; Martino S; Muff S
Biom J; 2023 Dec; 65(8):e2300078. PubMed ID: 37740134
[TBL] [Abstract][Full Text] [Related]
19. Predictions in an illness-death model.
Touraine C; Helmer C; Joly P
Stat Methods Med Res; 2016 Aug; 25(4):1452-70. PubMed ID: 23698869
[TBL] [Abstract][Full Text] [Related]
20. A spatial-temporal study of dengue in Peninsular Malaysia for the year 2017 in two different space-time model.
Abd Naeeim NS; Abdul Rahman N; Muhammad Fahimi FA
J Appl Stat; 2020; 47(4):739-756. PubMed ID: 35707492
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
