{"id":"https://openalex.org/W4404283914","doi":"https://doi.org/10.3390/sym16111502","title":"Medical and Engineering Applications for Estimation and Prediction of a New Competing Risks Model: A Bayesian Approach","display_name":"Medical and Engineering Applications for Estimation and Prediction of a New Competing Risks Model: A Bayesian Approach","publication_year":2024,"publication_date":"2024-11-08","ids":{"openalex":"https://openalex.org/W4404283914","doi":"https://doi.org/10.3390/sym16111502"},"language":"en","primary_location":{"id":"doi:10.3390/sym16111502","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16111502","pdf_url":null,"source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/sym16111502","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025346836","display_name":"Hebatalla H. Mohammad","orcid":"https://orcid.org/0000-0002-7017-8336"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hebatalla H. Mohammad","raw_affiliation_strings":["Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-7017-8336","affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109609418","display_name":"Heba N. Salem","orcid":"https://orcid.org/0000-0001-9617-9364"},"institutions":[{"id":"https://openalex.org/I184834183","display_name":"Al-Azhar University","ror":"https://ror.org/05fnp1145","country_code":"EG","type":"education","lineage":["https://openalex.org/I184834183"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Heba N. Salem","raw_affiliation_strings":["Department of Statistics, Faculty of Commerce, AL-Azhar University (Girls\u2019 Branch), Cairo 11651, Egypt","Department of Statistics, Faculty of Commerce, AL-Azhar University (Girls' Branch), Cairo 11651, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Commerce, AL-Azhar University (Girls\u2019 Branch), Cairo 11651, Egypt","institution_ids":["https://openalex.org/I184834183"]},{"raw_affiliation_string":"Department of Statistics, Faculty of Commerce, AL-Azhar University (Girls' Branch), Cairo 11651, Egypt","institution_ids":["https://openalex.org/I184834183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090595844","display_name":"Abeer A. EL-Helbawy","orcid":"https://orcid.org/0000-0003-3247-2013"},"institutions":[{"id":"https://openalex.org/I184834183","display_name":"Al-Azhar University","ror":"https://ror.org/05fnp1145","country_code":"EG","type":"education","lineage":["https://openalex.org/I184834183"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Abeer A. EL-Helbawy","raw_affiliation_strings":["Department of Statistics, Faculty of Commerce, AL-Azhar University (Girls\u2019 Branch), Cairo 11651, Egypt","Department of Statistics, Faculty of Commerce, AL-Azhar University (Girls' Branch), Cairo 11651, Egypt"],"raw_orcid":"https://orcid.org/0000-0003-3247-2013","affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Commerce, AL-Azhar University (Girls\u2019 Branch), Cairo 11651, Egypt","institution_ids":["https://openalex.org/I184834183"]},{"raw_affiliation_string":"Department of Statistics, Faculty of Commerce, AL-Azhar University (Girls' Branch), Cairo 11651, Egypt","institution_ids":["https://openalex.org/I184834183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051374204","display_name":"Faten S. Alamri","orcid":"https://orcid.org/0000-0003-0312-8731"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Faten S. Alamri","raw_affiliation_strings":["Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-0312-8731","affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090595844"],"corresponding_institution_ids":["https://openalex.org/I184834183"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.5082,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69545875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"11","first_page":"1502","last_page":"1502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6109862923622131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.596816897392273},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5654287934303284},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5536676645278931},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.5458224415779114},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5093970894813538},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4572242796421051},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.431551456451416},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3905339539051056},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38352248072624207},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.381844699382782},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35534659028053284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3020407557487488},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23200276494026184}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6109862923622131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.596816897392273},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5654287934303284},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5536676645278931},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.5458224415779114},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5093970894813538},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4572242796421051},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.431551456451416},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3905339539051056},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38352248072624207},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.381844699382782},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35534659028053284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3020407557487488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23200276494026184},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/sym16111502","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16111502","pdf_url":null,"source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:106bfc5c5d754d99bf564ecbed9d20ee","is_oa":false,"landing_page_url":"https://doaj.org/article/106bfc5c5d754d99bf564ecbed9d20ee","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 16, Iss 11, p 1502 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/sym16111502","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16111502","pdf_url":null,"source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3587038336","display_name":null,"funder_award_id":"Grant No (44- PRFA-P- 142)","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"}],"funders":[{"id":"https://openalex.org/F4320322484","display_name":"Princess Nourah Bint Abdulrahman University","ror":"https://ror.org/05b0cyh02"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1478186840","https://openalex.org/W1967211488","https://openalex.org/W1985375422","https://openalex.org/W1988520084","https://openalex.org/W1995780830","https://openalex.org/W2038289147","https://openalex.org/W2055779904","https://openalex.org/W2061885628","https://openalex.org/W2073570371","https://openalex.org/W2168311179","https://openalex.org/W2463503483","https://openalex.org/W2486038092","https://openalex.org/W2560662625","https://openalex.org/W2611125349","https://openalex.org/W2919448320","https://openalex.org/W2966311197","https://openalex.org/W3080615193","https://openalex.org/W3083184392","https://openalex.org/W3120287913","https://openalex.org/W3167320997","https://openalex.org/W3167460010","https://openalex.org/W3195865906","https://openalex.org/W4221037784","https://openalex.org/W4224643006","https://openalex.org/W4229010586","https://openalex.org/W4248681815","https://openalex.org/W4285732613","https://openalex.org/W4311739938","https://openalex.org/W4317932817","https://openalex.org/W4320168299","https://openalex.org/W4378552845","https://openalex.org/W4383369219","https://openalex.org/W4385655291","https://openalex.org/W4393988587","https://openalex.org/W4399042038","https://openalex.org/W4410226228","https://openalex.org/W6684647119","https://openalex.org/W6737158189","https://openalex.org/W6766402075","https://openalex.org/W6838987592","https://openalex.org/W6853556355"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W4396824790","https://openalex.org/W4281634296","https://openalex.org/W3125536267","https://openalex.org/W2274645452","https://openalex.org/W1999706086","https://openalex.org/W2521753262"],"abstract_inverted_index":{"The":[0],"Bayesian":[1,64,114],"approach":[2,65],"offers":[3,46],"a":[4,15,50,83,94,99,154,174],"flexible,":[5],"interpretable":[6,58],"and":[7,41,77,98,126,143,148,185,192,200,214,222],"powerful":[8],"framework":[9],"for":[10,161],"statistical":[11],"analysis,":[12],"making":[13,21],"it":[14,45],"valuable":[16],"tool":[17],"to":[18,38,68,111,146,172,177,198,211,216],"help":[19],"in":[20,138],"optimal":[22],"decisions":[23],"under":[24],"uncertainty.":[25],"It":[26],"incorporates":[27],"prior":[28],"knowledge":[29],"or":[30],"beliefs":[31],"about":[32],"the":[33,63,70,113,119,158,179,182,202,217,220],"parameters,":[34,71,120],"which":[35,54],"can":[36],"lead":[37],"more":[39,57],"accurate":[40],"informative":[42],"results.":[43],"Also,":[44],"credible":[47],"intervals":[48,117],"as":[49,93,104],"measure":[51],"of":[52,82,118,157,181,190,219],"uncertainty,":[53],"are":[55,109,131,196,208],"often":[56],"than":[59],"confidence":[60],"intervals.":[61],"Hence,":[62],"is":[66,136,164,170],"utilized":[67],"estimate":[69],"reliability":[72,121],"function,":[73,122],"hazard":[74,79,123,128],"rate":[75,80,124,129],"function":[76,81,92,97,103,108,125,130],"reversed":[78,127],"new":[84],"competing":[85],"risks":[86],"model.":[87],"A":[88],"squared":[89],"error":[90],"loss":[91,96,102,107],"symmetric":[95],"linear":[100],"exponential":[101],"an":[105],"asymmetric":[106],"employed":[110],"derive":[112],"estimators.":[115],"Credible":[116],"obtained.":[132],"Predicting":[133],"future":[134,162],"observations":[135],"important":[137],"many":[139],"fields,":[140],"from":[141],"finance":[142],"weather":[144],"forecasting":[145],"healthcare":[147],"engineering.":[149],"Thus,":[150],"two-sample":[151],"prediction":[152],"(as":[153],"special":[155],"case":[156],"multi-sample":[159],"prediction)":[160],"observation":[163],"considered.":[165],"An":[166],"adaptive":[167],"Metropolis":[168],"algorithm":[169],"applied":[171],"conduct":[173],"simulation":[175],"study":[176],"evaluate":[178],"performance":[180],"Bayes":[183],"estimates":[184],"predictors.":[186],"Moreover,":[187],"two":[188],"applications":[189],"medical":[191],"engineering":[193],"data":[194],"sets":[195],"used":[197],"test":[199],"validate":[201],"theoretical":[203],"results,":[204],"ensuring":[205],"that":[206],"they":[207],"accurate,":[209],"applicable":[210],"real-world":[212],"scenarios":[213],"contribute":[215],"understanding":[218],"world":[221],"inform":[223],"decision-making.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
