Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W3135313048', 'doi': 'https://doi.org/10.1007/s13171-020-00239-8', 'title': 'Asymptotic Inferences in a Doubly-Semi-Parametric Linear Longitudinal Mixed Model', 'display_name': 'Asymptotic Inferences in a Doubly-Semi-Parametric Linear Longitudinal Mixed Model', 'publication_year': 2021, 'publication_date': '2021-02-26', 'ids': {'openalex': 'https://openalex.org/W3135313048', 'doi': 'https://doi.org/10.1007/s13171-020-00239-8', 'mag': '3135313048'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1007/s13171-020-00239-8', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4210208107', 'display_name': 'Sankhya A', 'issn_l': '0976-836X', 'issn': ['0976-836X', '0976-8378'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], '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/A5061575002', 'display_name': 'Brajendra C. Sutradhar', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I130438778', 'display_name': 'Memorial University of Newfoundland', 'ror': 'https://ror.org/04haebc03', 'country_code': 'CA', 'type': 'education', 'lineage': ['https://openalex.org/I130438778']}], 'countries': ['CA'], 'is_corresponding': True, 'raw_author_name': 'Brajendra C. Sutradhar', 'raw_affiliation_strings': ['Memorial University, St. John’s, Canada'], 'affiliations': [{'raw_affiliation_string': 'Memorial University, St. John’s, Canada', 'institution_ids': ['https://openalex.org/I130438778']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5074826086', 'display_name': 'R. Prabhakar Rao', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I4819740', 'display_name': 'Sri Sathya Sai Institute of Higher Learning', 'ror': 'https://ror.org/05arzt710', 'country_code': 'IN', 'type': 'education', 'lineage': ['https://openalex.org/I4819740']}], 'countries': ['IN'], 'is_corresponding': False, 'raw_author_name': 'R. Prabhakar Rao', 'raw_affiliation_strings': ['Sri Sathya Sai Institute of Higher Learning, Anantapur, India'], 'affiliations': [{'raw_affiliation_string': 'Sri Sathya Sai Institute of Higher Learning, Anantapur, India', 'institution_ids': ['https://openalex.org/I4819740']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 2, 'corresponding_author_ids': ['https://openalex.org/A5061575002'], 'corresponding_institution_ids': ['https://openalex.org/I130438778'], 'apc_list': {'value': 2290, 'currency': 'EUR', 'value_usd': 2890, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': False, 'cited_by_count': 0, 'citation_normalized_percentile': {'value': 0.0, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 0, 'max': 58}, 'biblio': {'volume': '85', 'issue': '1', 'first_page': '214', 'last_page': '247'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10243', 'display_name': 'Methods for Handling Missing Data in Statistical Analysis', 'score': 0.9941, '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/T10243', 'display_name': 'Methods for Handling Missing Data in Statistical Analysis', 'score': 0.9941, '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/T10136', 'display_name': 'Regularization and Variable Selection Methods', 'score': 0.9933, '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/T11911', 'display_name': 'Spatial Econometrics and Spatial Data Analysis', 'score': 0.9931, 'subfield': {'id': 'https://openalex.org/subfields/2002', 'display_name': 'Economics and Econometrics'}, 'field': {'id': 'https://openalex.org/fields/20', 'display_name': 'Economics, Econometrics and Finance'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/mixed-effects-models', 'display_name': 'Mixed-Effects Models', 'score': 0.643664}, {'id': 'https://openalex.org/keywords/semiparametric-model', 'display_name': 'Semiparametric model', 'score': 0.61700094}, {'id': 'https://openalex.org/keywords/generalized-linear-models', 'display_name': 'Generalized Linear Models', 'score': 0.601191}, {'id': 'https://openalex.org/keywords/longitudinal-data-analysis', 'display_name': 'Longitudinal Data Analysis', 'score': 0.585753}, {'id': 'https://openalex.org/keywords/sparse-models', 'display_name': 'Sparse Models', 'score': 0.577939}, {'id': 'https://openalex.org/keywords/geographically-weighted-regression', 'display_name': 'Geographically Weighted Regression', 'score': 0.558467}, {'id': 'https://openalex.org/keywords/semiparametric-regression', 'display_name': 'Semiparametric regression', 'score': 0.45270205}, {'id': 'https://openalex.org/keywords/variance-function', 'display_name': 'Variance function', 'score': 0.43678838}, {'id': 'https://openalex.org/keywords/parametric-model', 'display_name': 'Parametric model', 'score': 0.4326146}], 'concepts': [{'id': 'https://openalex.org/C185429906', 'wikidata': 'https://www.wikidata.org/wiki/Q1130160', 'display_name': 'Estimator', 'level': 2, 'score': 0.8002548}, {'id': 'https://openalex.org/C117251300', 'wikidata': 'https://www.wikidata.org/wiki/Q1849855', 'display_name': 'Parametric statistics', 'level': 2, 'score': 0.7493907}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.6602975}, {'id': 'https://openalex.org/C102366305', 'wikidata': 'https://www.wikidata.org/wiki/Q1097688', 'display_name': 'Nonparametric statistics', 'level': 2, 'score': 0.65653807}, {'id': 'https://openalex.org/C28826006', 'wikidata': 'https://www.wikidata.org/wiki/Q33521', 'display_name': 'Applied mathematics', 'level': 1, 'score': 0.64407647}, {'id': 'https://openalex.org/C78297888', 'wikidata': 'https://www.wikidata.org/wiki/Q7449607', 'display_name': 'Semiparametric model', 'level': 3, 'score': 0.61700094}, {'id': 'https://openalex.org/C177148314', 'wikidata': 'https://www.wikidata.org/wiki/Q170084', 'display_name': 'Generalization', 'level': 2, 'score': 0.5728264}, {'id': 'https://openalex.org/C162748667', 'wikidata': 'https://www.wikidata.org/wiki/Q683131', 'display_name': 'Generalized method of moments', 'level': 3, 'score': 0.47662246}, {'id': 'https://openalex.org/C19539793', 'wikidata': 'https://www.wikidata.org/wiki/Q7449609', 'display_name': 'Semiparametric regression', 'level': 3, 'score': 0.45270205}, {'id': 'https://openalex.org/C163716315', 'wikidata': 'https://www.wikidata.org/wiki/Q901177', 'display_name': 'Gaussian', 'level': 2, 'score': 0.43821368}, {'id': 'https://openalex.org/C120488996', 'wikidata': 'https://www.wikidata.org/wiki/Q17016064', 'display_name': 'Variance function', 'level': 3, 'score': 0.43678838}, {'id': 'https://openalex.org/C163175372', 'wikidata': 'https://www.wikidata.org/wiki/Q3339222', 'display_name': 'Linear model', 'level': 2, 'score': 0.43628895}, {'id': 'https://openalex.org/C24574437', 'wikidata': 'https://www.wikidata.org/wiki/Q7135228', 'display_name': 'Parametric model', 'level': 3, 'score': 0.4326146}, {'id': 'https://openalex.org/C74127309', 'wikidata': 'https://www.wikidata.org/wiki/Q3455886', 'display_name': 'Nonparametric regression', 'level': 3, 'score': 0.41612756}, {'id': 'https://openalex.org/C48921125', 'wikidata': 'https://www.wikidata.org/wiki/Q10861030', 'display_name': 'Linear regression', 'level': 2, 'score': 0.41342235}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.3481589}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.12099859}, {'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}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1007/s13171-020-00239-8', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4210208107', 'display_name': 'Sankhya A', 'issn_l': '0976-836X', 'issn': ['0976-836X', '0976-8378'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319900', 'host_organization_name': 'Springer Science+Business Media', 'host_organization_lineage': ['https://openalex.org/P4310319965', 'https://openalex.org/P4310319900'], 'host_organization_lineage_names': ['Springer Nature', 'Springer Science+Business Media'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [{'funder': 'https://openalex.org/F4320334593', 'funder_display_name': 'Natural Sciences and Engineering Research Council of Canada', 'award_id': None}], 'datasets': [], 'versions': [], 'referenced_works_count': 20, 'referenced_works': ['https://openalex.org/W1554478671', 'https://openalex.org/W1979159029', 'https://openalex.org/W1983472209', 'https://openalex.org/W1985780619', 'https://openalex.org/W1999975842', 'https://openalex.org/W2016238739', 'https://openalex.org/W2019579897', 'https://openalex.org/W2055353238', 'https://openalex.org/W2055367468', 'https://openalex.org/W2062433599', 'https://openalex.org/W2069155239', 'https://openalex.org/W2074673068', 'https://openalex.org/W2097978133', 'https://openalex.org/W2610289416', 'https://openalex.org/W2801464996', 'https://openalex.org/W3098587878', 'https://openalex.org/W362815228', 'https://openalex.org/W4236066262', 'https://openalex.org/W4244155226', 'https://openalex.org/W571773678'], 'related_works': ['https://openalex.org/W4313913483', 'https://openalex.org/W4243941348', 'https://openalex.org/W4235117288', 'https://openalex.org/W4205780558', 'https://openalex.org/W3135313048', 'https://openalex.org/W3089030340', 'https://openalex.org/W2149420770', 'https://openalex.org/W2021315266', 'https://openalex.org/W2010243077', 'https://openalex.org/W2000388799'], 'abstract_inverted_index': None, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3135313048', 'counts_by_year': [], 'updated_date': '2024-09-19T16:54:29.211629', 'created_date': '2021-03-15'}