123 related articles for article (PubMed ID: 35415412)
1. Complexity-Based Spatial Hierarchical Clustering for Malaria Prediction.
Haddawy P; Yin MS; Wisanrakkit T; Limsupavanich R; Promrat P; Lawpoolsri S; Sa-Angchai P
J Healthc Inform Res; 2018 Dec; 2(4):423-447. PubMed ID: 35415412
[TBL] [Abstract][Full Text] [Related]
2. Spatiotemporal Bayesian networks for malaria prediction.
Haddawy P; Hasan AHMI; Kasantikul R; Lawpoolsri S; Sa-Angchai P; Kaewkungwal J; Singhasivanon P
Artif Intell Med; 2018 Jan; 84():127-138. PubMed ID: 29241658
[TBL] [Abstract][Full Text] [Related]
3. [Statistical models for spatial analysis in parasitology].
Biggeri A; Catelan D; Dreassi E; Lagazio C; Cringoli G
Parassitologia; 2004 Jun; 46(1-2):75-8. PubMed ID: 15305691
[TBL] [Abstract][Full Text] [Related]
4. Spatial prediction of malaria prevalence in Papua New Guinea: a comparison of Bayesian decision network and multivariate regression modelling approaches for improved accuracy in prevalence prediction.
Cleary E; Hetzel MW; Siba PM; Lau CL; Clements ACA
Malar J; 2021 Jun; 20(1):269. PubMed ID: 34120604
[TBL] [Abstract][Full Text] [Related]
5. Model selection and psychological theory: a discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC).
Vrieze SI
Psychol Methods; 2012 Jun; 17(2):228-43. PubMed ID: 22309957
[TBL] [Abstract][Full Text] [Related]
6. How to Use Model-Based Cluster Analysis Efficiently in Person-Oriented Research.
Gergely B; Vargha A
J Pers Oriented Res; 2021; 7(1):22-35. PubMed ID: 34548917
[TBL] [Abstract][Full Text] [Related]
7. Fine-Scale Mapping by Spatial Risk Distribution Modeling for Regional Malaria Endemicity and Its Implications under the Low-to-Moderate Transmission Setting in Western Cambodia.
Okami S; Kohtake N
PLoS One; 2016; 11(7):e0158737. PubMed ID: 27415623
[TBL] [Abstract][Full Text] [Related]
8. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.
Paciorek CJ; Liu Y;
Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
[TBL] [Abstract][Full Text] [Related]
9. CHull as an alternative to AIC and BIC in the context of mixtures of factor analyzers.
Bulteel K; Wilderjans TF; Tuerlinckx F; Ceulemans E
Behav Res Methods; 2013 Sep; 45(3):782-91. PubMed ID: 23307573
[TBL] [Abstract][Full Text] [Related]
10. Identifying clusters in Bayesian disease mapping.
Anderson C; Lee D; Dean N
Biostatistics; 2014 Jul; 15(3):457-69. PubMed ID: 24622038
[TBL] [Abstract][Full Text] [Related]
11. DBCSMOTE: a clustering-based oversampling technique for data-imbalanced warfarin dose prediction.
Tao Y; Zhang Y; Jiang B
BMC Med Genomics; 2020 Oct; 13(Suppl 10):152. PubMed ID: 33087117
[TBL] [Abstract][Full Text] [Related]
12. The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures.
Mihailović DT; Nikolić-Đorić E; Malinović-Milićević S; Singh VP; Mihailović A; Stošić T; Stošić B; Drešković N
Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266929
[TBL] [Abstract][Full Text] [Related]
13. Spatiotemporal clustering of malaria in southern-central Ethiopia: A community-based cohort study.
Solomon T; Loha E; Deressa W; Gari T; Lindtjørn B
PLoS One; 2019; 14(9):e0222986. PubMed ID: 31568489
[TBL] [Abstract][Full Text] [Related]
14. Assessing variation in life-history tactics within a population using mixture regression models: a practical guide for evolutionary ecologists.
Hamel S; Yoccoz NG; Gaillard JM
Biol Rev Camb Philos Soc; 2017 May; 92(2):754-775. PubMed ID: 26932678
[TBL] [Abstract][Full Text] [Related]
15. On the Use of Entropy to Improve Model Selection Criteria.
Murari A; Peluso E; Cianfrani F; Gaudio P; Lungaroni M
Entropy (Basel); 2019 Apr; 21(4):. PubMed ID: 33267107
[TBL] [Abstract][Full Text] [Related]
16. Spatial, temporal, and spatiotemporal analysis of malaria in Hubei Province, China from 2004-2011.
Xia J; Cai S; Zhang H; Lin W; Fan Y; Qiu J; Sun L; Chang B; Zhang Z; Nie S
Malar J; 2015 Apr; 14():145. PubMed ID: 25879447
[TBL] [Abstract][Full Text] [Related]
17. Performance of Information Criteria for Spatial Models.
Lee H; Ghosh SK
J Stat Comput Simul; 2009 Jan; 79(1):93-106. PubMed ID: 19746199
[TBL] [Abstract][Full Text] [Related]
18. Using Akaike's information theoretic criterion in mixed-effects modeling of pharmacokinetic data: a simulation study.
Olofsen E; Dahan A
F1000Res; 2013; 2():71. PubMed ID: 26673949
[TBL] [Abstract][Full Text] [Related]
19. Assessing Local Model Adequacy in Bayesian Hierarchical Models Using the Partitioned Deviance Information Criterion.
Wheeler DC; Hickson DA; Waller LA
Comput Stat Data Anal; 2010 Jun; 54(6):1657-1671. PubMed ID: 21243121
[TBL] [Abstract][Full Text] [Related]
20. A joint finite mixture model for clustering genes from independent Gaussian and beta distributed data.
Dai X; Erkkilä T; Yli-Harja O; Lähdesmäki H
BMC Bioinformatics; 2009 May; 10():165. PubMed ID: 19480678
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]