Matches in SemOpenAlex for { <https://semopenalex.org/work/W2765350285> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2765350285 endingPage "2716" @default.
- W2765350285 startingPage "2709" @default.
- W2765350285 abstract "Background: There has been no previous study to classify malignant breast tumor in details based on Markov Chain Monte Carlo (MCMC) convergence in Western, Nigeria. This study therefore aims to profile patients living with benign and malignant breast tumor in two different hospitals among women of Western Nigeria, with a focus on prognostic factors and MCMC convergence. Materials and Methods: A hospital-based record was used to identify prognostic factors for malignant breast cancer among women of Western Nigeria. This paper describes Bayesian inference and demonstrates its usage to estimation of parameters of the logistic regression via Markov Chain Monte Carlo (MCMC) algorithm. The result of the Bayesian approach is compared with the classical statistics. Results: The mean age of the respondents was 42.2 ±16.6 years with 52% of the women aged between 35-49 years. The results of both techniques suggest that age and women with at least high school education have a significantly higher risk of being diagnosed with malignant breast tumors than benign breast tumors. The results also indicate a reduction of standard errors is associated with the coefficients obtained from the Bayesian approach. In addition, simulation result reveal that women with at least high school are 1.3 times more at risk of having malignant breast lesion in western Nigeria compared to benign breast lesion. Conclusion: We concluded that more efforts are required towards creating awareness and advocacy campaigns on how the prevalence of malignant breast lesions can be reduced, especially among women. The application of Bayesian produces precise estimates for modeling malignant breast cancer." @default.
- W2765350285 created "2017-11-10" @default.
- W2765350285 creator A5013976235 @default.
- W2765350285 creator A5041948298 @default.
- W2765350285 date "2017-10-26" @default.
- W2765350285 modified "2023-09-23" @default.
- W2765350285 title "Bayesian Inference on Malignant Breast Cancer in Nigeria: A Diagnosis of MCMC Convergence" @default.
- W2765350285 cites W1492600427 @default.
- W2765350285 cites W1519369973 @default.
- W2765350285 cites W1896202841 @default.
- W2765350285 cites W1972928069 @default.
- W2765350285 cites W1978191461 @default.
- W2765350285 cites W2030311726 @default.
- W2765350285 cites W2033635741 @default.
- W2765350285 cites W2042957353 @default.
- W2765350285 cites W2051206853 @default.
- W2765350285 cites W2053546693 @default.
- W2765350285 cites W2067763719 @default.
- W2765350285 cites W2072110498 @default.
- W2765350285 cites W2128232522 @default.
- W2765350285 cites W2131702935 @default.
- W2765350285 cites W2135350808 @default.
- W2765350285 cites W2145008894 @default.
- W2765350285 cites W2146280240 @default.
- W2765350285 cites W2159944028 @default.
- W2765350285 cites W2165776880 @default.
- W2765350285 cites W2176868042 @default.
- W2765350285 cites W2285381785 @default.
- W2765350285 cites W2310250473 @default.
- W2765350285 cites W2416441316 @default.
- W2765350285 cites W2594412665 @default.
- W2765350285 cites W2602475078 @default.
- W2765350285 cites W345598720 @default.
- W2765350285 cites W85416564 @default.
- W2765350285 doi "https://doi.org/10.22034/apjcp.2017.18.10.2709" @default.
- W2765350285 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5747394" @default.
- W2765350285 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29072396" @default.
- W2765350285 hasPublicationYear "2017" @default.
- W2765350285 type Work @default.
- W2765350285 sameAs 2765350285 @default.
- W2765350285 citedByCount "1" @default.
- W2765350285 countsByYear W27653502852021 @default.
- W2765350285 crossrefType "journal-article" @default.
- W2765350285 hasAuthorship W2765350285A5013976235 @default.
- W2765350285 hasAuthorship W2765350285A5041948298 @default.
- W2765350285 hasConcept C105795698 @default.
- W2765350285 hasConcept C107673813 @default.
- W2765350285 hasConcept C111350023 @default.
- W2765350285 hasConcept C121608353 @default.
- W2765350285 hasConcept C126322002 @default.
- W2765350285 hasConcept C143998085 @default.
- W2765350285 hasConcept C151956035 @default.
- W2765350285 hasConcept C160234255 @default.
- W2765350285 hasConcept C162324750 @default.
- W2765350285 hasConcept C2777303404 @default.
- W2765350285 hasConcept C33923547 @default.
- W2765350285 hasConcept C50522688 @default.
- W2765350285 hasConcept C530470458 @default.
- W2765350285 hasConcept C71924100 @default.
- W2765350285 hasConceptScore W2765350285C105795698 @default.
- W2765350285 hasConceptScore W2765350285C107673813 @default.
- W2765350285 hasConceptScore W2765350285C111350023 @default.
- W2765350285 hasConceptScore W2765350285C121608353 @default.
- W2765350285 hasConceptScore W2765350285C126322002 @default.
- W2765350285 hasConceptScore W2765350285C143998085 @default.
- W2765350285 hasConceptScore W2765350285C151956035 @default.
- W2765350285 hasConceptScore W2765350285C160234255 @default.
- W2765350285 hasConceptScore W2765350285C162324750 @default.
- W2765350285 hasConceptScore W2765350285C2777303404 @default.
- W2765350285 hasConceptScore W2765350285C33923547 @default.
- W2765350285 hasConceptScore W2765350285C50522688 @default.
- W2765350285 hasConceptScore W2765350285C530470458 @default.
- W2765350285 hasConceptScore W2765350285C71924100 @default.
- W2765350285 hasIssue "10" @default.
- W2765350285 hasLocation W27653502851 @default.
- W2765350285 hasOpenAccess W2765350285 @default.
- W2765350285 hasPrimaryLocation W27653502851 @default.
- W2765350285 hasRelatedWork W2033163835 @default.
- W2765350285 hasRelatedWork W2146827233 @default.
- W2765350285 hasRelatedWork W2464065341 @default.
- W2765350285 hasRelatedWork W2753218748 @default.
- W2765350285 hasRelatedWork W2774409638 @default.
- W2765350285 hasRelatedWork W2947536360 @default.
- W2765350285 hasRelatedWork W3087071515 @default.
- W2765350285 hasRelatedWork W3134187673 @default.
- W2765350285 hasRelatedWork W3165662366 @default.
- W2765350285 hasRelatedWork W981988864 @default.
- W2765350285 hasVolume "18" @default.
- W2765350285 isParatext "false" @default.
- W2765350285 isRetracted "false" @default.
- W2765350285 magId "2765350285" @default.
- W2765350285 workType "article" @default.