BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 37344913)

  • 1. A practical illustration of spatial smoothing methods for disconnected regions with INLA: spatial survey on overweight and obesity in Malaysia.
    Mohamad MS; Abdul Maulud KN; Faes C
    Int J Health Geogr; 2023 Jun; 22(1):14. PubMed ID: 37344913
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Spatial quantile regression using INLA with applications to childhood overweight in Malawi.
    Mtambo OP; Masangwi SJ; Kazembe LN
    Spat Spatiotemporal Epidemiol; 2015 Apr; 13():7-14. PubMed ID: 26046633
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Mapping adolescent first births within three east African countries using data from Demographic and Health Surveys: exploring geospatial methods to inform policy.
    Neal S; Ruktanonchai C; Chandra-Mouli V; Matthews Z; Tatem AJ
    Reprod Health; 2016 Aug; 13(1):98. PubMed ID: 27553956
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Analysis of childhood overweight and obesity in Namibia using spatio-temporal quantile interval models.
    Mtambo OPL; Debusho LK
    J Health Popul Nutr; 2021 Dec; 40(1):51. PubMed ID: 34857048
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Mapping the timeliness of routine childhood vaccination in The Gambia: A spatial modelling study.
    Wariri O; Utazi CE; Okomo U; Metcalf CJE; Sogur M; Fofana S; Murray KA; Grundy C; Kampmann B
    Vaccine; 2023 Sep; 41(39):5696-5705. PubMed ID: 37563051
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Lung Cancer Prevalence in Virginia: A Spatial Zipcode-Level Analysis via INLA.
    Sahoo I; Zhao J; Deng X; Cockburn MG; Tossas K; Winn R; Bandyopadhyay D
    Curr Oncol; 2024 Feb; 31(3):1129-1144. PubMed ID: 38534917
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Exploring socio-demographic-and geographical-variations in prevalence of diabetes and hypertension in Bangladesh: Bayesian spatial analysis of national health survey data.
    Roy PK; Khan MHR; Akter T; Rahman MS
    Spat Spatiotemporal Epidemiol; 2019 Jun; 29():71-83. PubMed ID: 31128633
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian spatial modelling of malaria burden in two contrasted eco-epidemiological facies in Benin (West Africa): call for localized interventions.
    Damien BG; Sode AI; Bocossa D; Elanga-Ndille E; Aguemon B; Corbel V; Henry MC; Glèlè Kakaï RL; Remoué F
    BMC Public Health; 2022 Sep; 22(1):1754. PubMed ID: 36114483
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Modelling spatiotemporal variation in under-five malaria risk in Ghana in 2016-2021.
    Aheto JMK; Menezes LJ; Takramah W; Cui L
    Malar J; 2024 Apr; 23(1):102. PubMed ID: 38594716
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Association between Availability of Neighborhood Fast Food Outlets and Overweight Among 5⁻18 Year-Old Children in Peninsular Malaysia: A Cross-Sectional Study.
    Chee Cheong K; Yoon Ling C; Kuang Hock L; Mohd Ghazali S; Chien Huey T; Che Ibrahim MK; Baharudin A; Siew Man C; Yong Kang C; Ahmad NA; Yusoff AF
    Int J Environ Res Public Health; 2019 Feb; 16(4):. PubMed ID: 30781699
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Spatial small area smoothing models for handling survey data with nonresponse.
    Watjou K; Faes C; Lawson A; Kirby RS; Aregay M; Carroll R; Vandendijck Y
    Stat Med; 2017 Oct; 36(23):3708-3745. PubMed ID: 28670709
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Spatial analysis of childhood obesity and overweight in Peru, 2014].
    Hernández-Vásquez A; Bendezú-Quispe G; Díaz-Seijas D; Santero M; Minckas N; Azañedo D; Antiporta DA
    Rev Peru Med Exp Salud Publica; 2016; 33(3):489-497. PubMed ID: 27831612
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian spatial modeling of childhood overweight and obesity prevalence in Costa Rica.
    Gómez MJ; Barboza LA; Vásquez P; Moraga P
    BMC Public Health; 2023 Apr; 23(1):651. PubMed ID: 37016373
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Comparison of Bayesian Spatial Models for HIV Mapping in South Africa.
    Ayalew KA; Manda S; Cai B
    Int J Environ Res Public Health; 2021 Oct; 18(21):. PubMed ID: 34769735
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluating health facility access using Bayesian spatial models and location analysis methods.
    Tierney NJ; Mira A; Reinhold HJ; Arbia G; Clifford S; Auricchio A; Moccetti T; Peluso S; Mengersen KL
    PLoS One; 2019; 14(8):e0218310. PubMed ID: 31390366
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Spatial analysis of the prevalence of obesity and overweight among women in Ghana.
    Asosega KA; Adebanji AO; Abdul IW
    BMJ Open; 2021 Jan; 11(1):e041659. PubMed ID: 33455932
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prevalence of overweight/obesity and its associated factors among secondary school students in semi urban area in Malaysia.
    Alagappan M; Rampal L; Zalilah MS
    Med J Malaysia; 2019 Dec; 74(6):513-520. PubMed ID: 31929478
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Geographic differences in overweight and obesity prevalence in Peruvian children, 2010-2015.
    Torres-Roman JS; Urrunaga-Pastor D; Avilez JL; Helguero-Santin LM; Malaga G
    BMC Public Health; 2018 Mar; 18(1):353. PubMed ID: 29540170
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.