{"id":"https://openalex.org/W1571377681","doi":"https://doi.org/10.1007/978-3-662-01131-7_36","title":"Frailty Factors and Time-dependent Hazards in Modelling Ear Infections in Children Using BASSIST","display_name":"Frailty Factors and Time-dependent Hazards in Modelling Ear Infections in Children Using BASSIST","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W1571377681","doi":"https://doi.org/10.1007/978-3-662-01131-7_36","mag":"1571377681"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-662-01131-7_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-01131-7_36","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"COMPSTAT","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016899382","display_name":"Mervi Eerola","orcid":null},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Mervi Eerola","raw_affiliation_strings":["Rolf Nevanlinna Institute, University of Helsinki, P.O. Box 4, FIN-00014, University of Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Rolf Nevanlinna Institute, University of Helsinki, P.O. Box 4, FIN-00014, University of Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013005096","display_name":"Heikki Mannila","orcid":null},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Heikki Mannila","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, P.O. Box 26, FIN-00014, University of Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, P.O. Box 26, FIN-00014, University of Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028113799","display_name":"Marko Salmenkivi","orcid":null},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Marko Salmenkivi","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, P.O. Box 26, FIN-00014, University of Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, P.O. Box 26, FIN-00014, University of Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016899382"],"corresponding_institution_ids":["https://openalex.org/I133731052"],"apc_list":null,"apc_paid":null,"fwci":0.8152,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70973417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"287","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9348999857902527,"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/piecewise","display_name":"Piecewise","score":0.7297767400741577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6381282210350037},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.624918520450592},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5850226879119873},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5070548057556152},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.4733341336250305},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.44920456409454346},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4449910521507263},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36622995138168335},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35038256645202637},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.27427583932876587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.261985182762146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21432697772979736},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.13066086173057556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1269025206565857}],"concepts":[{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.7297767400741577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6381282210350037},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.624918520450592},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5850226879119873},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5070548057556152},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.4733341336250305},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.44920456409454346},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4449910521507263},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36622995138168335},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35038256645202637},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.27427583932876587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.261985182762146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21432697772979736},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.13066086173057556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1269025206565857},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-662-01131-7_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-01131-7_36","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"COMPSTAT","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.57.5580","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.57.5580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.helsinki.fi/research/fdk/datamining/pubs/compstat98.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W33758967","https://openalex.org/W118004758","https://openalex.org/W200503790","https://openalex.org/W2002134496","https://openalex.org/W2106706098","https://openalex.org/W2171301910","https://openalex.org/W4285719527","https://openalex.org/W6604814057"],"related_works":["https://openalex.org/W1454600515","https://openalex.org/W2385263368","https://openalex.org/W2347422947","https://openalex.org/W1645056428","https://openalex.org/W2368296458","https://openalex.org/W2040445660","https://openalex.org/W2004238570","https://openalex.org/W1979725436","https://openalex.org/W2268549697","https://openalex.org/W2157180604"],"abstract_inverted_index":{"The":[0,14,28],"BASSIST":[1,55],"system":[2,15],"is":[3,30],"a":[4,25,34],"general":[5],"purpose":[6],"tool":[7],"for":[8,11,62],"MCMC":[9],"sampling":[10],"intensity":[12,22],"models.":[13],"allows":[16],"the":[17,39,44],"user":[18],"to":[19,32,42,49],"specify":[20],"an":[21],"model":[23,29],"in":[24],"high-level":[26],"language.":[27],"used":[31],"generate":[33],"simulation":[35],"program":[36],"that":[37,59],"uses":[38],"Metropolis-Hastings":[40],"algorithm":[41],"obtain":[43],"desired":[45],"samples.":[46],"In":[47],"contrast":[48],"BUGS":[50],"(Spiegelhalter":[51],"et":[52],"al.,":[53],"1996),":[54],"contains":[56],"several":[57],"primitives":[58],"are":[60],"suited":[61],"modelling":[63],"event":[64],"data,":[65],"including":[66],"piecewise":[67],"constant":[68],"functions":[69],"etc.":[70]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
