Publication Information

{'id': 'https://openalex.org/W2085641264', 'doi': 'https://doi.org/10.1093/biomet/71.1.11', 'title': 'Calculation of polychotomous logistic regression parameters using individualized regressions', 'display_name': 'Calculation of polychotomous logistic regression parameters using individualized regressions', 'publication_year': 1984, 'publication_date': '1984-01-01', 'ids': {'openalex': 'https://openalex.org/W2085641264', 'doi': 'https://doi.org/10.1093/biomet/71.1.11', 'mag': '2085641264'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1093/biomet/71.1.11', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S172180718', 'display_name': 'Biometrika', 'issn_l': '0006-3444', 'issn': ['0006-3444', '1464-3510'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310311648', 'host_organization_name': 'Oxford University Press', 'host_organization_lineage': ['https://openalex.org/P4310311647', 'https://openalex.org/P4310311648'], 'host_organization_lineage_names': ['University of Oxford', 'Oxford University Press'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5010584597', 'display_name': 'COLIN B. BECG', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I4210117453', 'display_name': 'Dana-Farber Cancer Institute', 'ror': 'https://ror.org/02jzgtq86', 'country_code': 'US', 'type': 'facility', 'lineage': ['https://openalex.org/I4210117453']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'COLIN B. BECG', 'raw_affiliation_strings': ['Department of Biostatistics, Dana-Farber Cancer InstituteBoston, Massachusetts, U.S.A.'], 'affiliations': [{'raw_affiliation_string': 'Department of Biostatistics, Dana-Farber Cancer InstituteBoston, Massachusetts, U.S.A.', 'institution_ids': ['https://openalex.org/I4210117453']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5078129443', 'display_name': 'Robert J. Gray', 'orcid': 'https://orcid.org/0000-0002-5724-4917'}, 'institutions': [{'id': 'https://openalex.org/I4210117453', 'display_name': 'Dana-Farber Cancer Institute', 'ror': 'https://ror.org/02jzgtq86', 'country_code': 'US', 'type': 'facility', 'lineage': ['https://openalex.org/I4210117453']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'ROBERT GRAY', 'raw_affiliation_strings': ['Department of Biostatistics, Dana-Farber Cancer InstituteBoston, Massachusetts, U.S.A.'], 'affiliations': [{'raw_affiliation_string': 'Department of Biostatistics, Dana-Farber Cancer InstituteBoston, Massachusetts, U.S.A.', 'institution_ids': ['https://openalex.org/I4210117453']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': {'value': 2582, 'currency': 'GBP', 'value_usd': 3167, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 3.711, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 304, 'citation_normalized_percentile': {'value': 0.984499, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 98, 'max': 99}, 'biblio': {'volume': '71', 'issue': '1', 'first_page': '11', 'last_page': '18'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11871', 'display_name': 'Advanced Statistical Methods and Models', 'score': 0.982, '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/T11871', 'display_name': 'Advanced Statistical Methods and Models', 'score': 0.982, '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/T10876', 'display_name': 'Fault Detection and Control Systems', 'score': 0.9677, 'subfield': {'id': 'https://openalex.org/subfields/2207', 'display_name': 'Control and Systems Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T12135', 'display_name': 'Fuzzy Systems and Optimization', 'score': 0.9614, '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/logistic-model-tree', 'display_name': 'Logistic model tree', 'score': 0.5779151}, {'id': 'https://openalex.org/keywords/factor-regression-model', 'display_name': 'Factor regression model', 'score': 0.49199697}, {'id': 'https://openalex.org/keywords/logistic-distribution', 'display_name': 'Logistic distribution', 'score': 0.49020296}], 'concepts': [{'id': 'https://openalex.org/C151956035', 'wikidata': 'https://www.wikidata.org/wiki/Q1132755', 'display_name': 'Logistic regression', 'level': 2, 'score': 0.8871687}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.82905465}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.7350984}, {'id': 'https://openalex.org/C61722155', 'wikidata': 'https://www.wikidata.org/wiki/Q6667643', 'display_name': 'Logistic model tree', 'level': 3, 'score': 0.5779151}, {'id': 'https://openalex.org/C152877465', 'wikidata': 'https://www.wikidata.org/wiki/Q208042', 'display_name': 'Regression analysis', 'level': 2, 'score': 0.5195492}, {'id': 'https://openalex.org/C117568660', 'wikidata': 'https://www.wikidata.org/wiki/Q1650843', 'display_name': 'Multinomial logistic regression', 'level': 2, 'score': 0.51425}, {'id': 'https://openalex.org/C83546350', 'wikidata': 'https://www.wikidata.org/wiki/Q1139051', 'display_name': 'Regression', 'level': 2, 'score': 0.49516454}, {'id': 'https://openalex.org/C93698799', 'wikidata': 'https://www.wikidata.org/wiki/Q5428730', 'display_name': 'Factor regression model', 'level': 5, 'score': 0.49199697}, {'id': 'https://openalex.org/C94465730', 'wikidata': 'https://www.wikidata.org/wiki/Q589603', 'display_name': 'Logistic distribution', 'level': 3, 'score': 0.49020296}, {'id': 'https://openalex.org/C149782125', 'wikidata': 'https://www.wikidata.org/wiki/Q160039', 'display_name': 'Econometrics', 'level': 1, 'score': 0.4901646}, {'id': 'https://openalex.org/C90157343', 'wikidata': 'https://www.wikidata.org/wiki/Q5188196', 'display_name': 'Cross-sectional regression', 'level': 4, 'score': 0.45367026}, {'id': 'https://openalex.org/C120068334', 'wikidata': 'https://www.wikidata.org/wiki/Q45343', 'display_name': 'Polynomial regression', 'level': 3, 'score': 0.27161986}, {'id': 'https://openalex.org/C32224588', 'wikidata': 'https://www.wikidata.org/wiki/Q7250175', 'display_name': 'Proper linear model', 'level': 4, 'score': 0.18165898}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1093/biomet/71.1.11', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S172180718', 'display_name': 'Biometrika', 'issn_l': '0006-3444', 'issn': ['0006-3444', '1464-3510'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310311648', 'host_organization_name': 'Oxford University Press', 'host_organization_lineage': ['https://openalex.org/P4310311647', 'https://openalex.org/P4310311648'], 'host_organization_lineage_names': ['University of Oxford', 'Oxford University Press'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 13, 'referenced_works': ['https://openalex.org/W1495571942', 'https://openalex.org/W1755925439', 'https://openalex.org/W1972411591', 'https://openalex.org/W2018144913', 'https://openalex.org/W2052629792', 'https://openalex.org/W2080659816', 'https://openalex.org/W2107784689', 'https://openalex.org/W2202585678', 'https://openalex.org/W2329861935', 'https://openalex.org/W2331130507', 'https://openalex.org/W2404039572', 'https://openalex.org/W2796765386', 'https://openalex.org/W610478127'], 'related_works': ['https://openalex.org/W766138655', 'https://openalex.org/W4224235697', 'https://openalex.org/W3183807417', 'https://openalex.org/W289214573', 'https://openalex.org/W2367214771', 'https://openalex.org/W2127072394', 'https://openalex.org/W2085641264', 'https://openalex.org/W2006214275', 'https://openalex.org/W1986760411', 'https://openalex.org/W129344463'], 'abstract_inverted_index': {'Journal': [0], 'Article': [1, 77], 'Calculation': [2], 'of': [3, 20, 44], 'polychotomous': [4], 'logistic': [5], 'regression': [6], 'parameters': [7], 'using': [8], 'individualized': [9], 'regressions': [10], 'Get': [11], 'access': [12], 'COLIN': [13, 16], 'B.': [14, 17], 'BECG,': [15], 'BECG': [18], 'Department': [19, 43], 'Biostatistics,': [21, 45], 'Dana-Farber': [22, 46], 'Cancer': [23, 47], 'InstituteBoston,': [24, 48], 'Massachusetts,': [25, 49], 'U.S.A.': [26, 50], 'Search': [27, 51], 'for': [28, 52], 'other': [29, 53], 'works': [30, 54], 'by': [31, 55], 'this': [32, 56], 'author': [33, 57], 'on:': [34, 58], 'Oxford': [35, 59], 'Academic': [36, 60], 'Google': [37, 61], 'Scholar': [38, 62], 'ROBERT': [39, 41], 'GRAY': [40, 42], 'Biometrika,': [63], 'Volume': [64], '71,': [65], 'Issue': [66], '1,': [67], 'April': [68, 75, 90], '1984,': [69], 'Pages': [70], '11–18,': [71], 'https://doi.org/10.1093/biomet/71.1.11': [72], 'Published:': [73, 88], '01': [74, 80, 85, 89], '1984': [76, 91], 'history': [78], 'Received:': [79], 'January': [81], '1983': [82, 87], 'Revision': [83], 'received:': [84], 'August': [86]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2085641264', 'counts_by_year': [{'year': 2024, 'cited_by_count': 2}, {'year': 2023, 'cited_by_count': 4}, {'year': 2022, 'cited_by_count': 3}, {'year': 2021, 'cited_by_count': 13}, {'year': 2020, 'cited_by_count': 10}, {'year': 2019, 'cited_by_count': 11}, {'year': 2018, 'cited_by_count': 9}, {'year': 2017, 'cited_by_count': 10}, {'year': 2016, 'cited_by_count': 10}, {'year': 2015, 'cited_by_count': 11}, {'year': 2014, 'cited_by_count': 15}, {'year': 2013, 'cited_by_count': 11}, {'year': 2012, 'cited_by_count': 17}], 'updated_date': '2024-12-16T04:10:17.975766', 'created_date': '2016-06-24'}