Publication Information

{'id': 'https://openalex.org/W2137370054', 'doi': 'https://doi.org/10.1111/j.1541-0420.2005.00377.x', 'title': 'Doubly Robust Estimation in Missing Data and Causal Inference Models', 'display_name': 'Doubly Robust Estimation in Missing Data and Causal Inference Models', 'publication_year': 2005, 'publication_date': '2005-12-01', 'ids': {'openalex': 'https://openalex.org/W2137370054', 'doi': 'https://doi.org/10.1111/j.1541-0420.2005.00377.x', 'mag': '2137370054', 'pmid': 'https://pubmed.ncbi.nlm.nih.gov/16401269'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1111/j.1541-0420.2005.00377.x', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S8265502', 'display_name': 'Biometrics', 'issn_l': '0006-341X', 'issn': ['0006-341X', '1541-0420'], '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', 'pubmed'], '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/A5064350034', 'display_name': 'Heejung Bang', 'orcid': 'https://orcid.org/0000-0002-5755-9951'}, 'institutions': [{'id': 'https://openalex.org/I205783295', 'display_name': 'Cornell University', 'ror': 'https://ror.org/05bnh6r87', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I205783295']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Heejung Bang', 'raw_affiliation_strings': ['Division of Biostatistics and Epidemiology, Department of Public Health, Weill Medical College of Cornell University, New York, New York 10021, USA.'], 'affiliations': [{'raw_affiliation_string': 'Division of Biostatistics and Epidemiology, Department of Public Health, Weill Medical College of Cornell University, New York, New York 10021, USA.', 'institution_ids': ['https://openalex.org/I205783295']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5079863455', 'display_name': 'James M. Robins', 'orcid': 'https://orcid.org/0000-0001-6609-209X'}, 'institutions': [{'id': 'https://openalex.org/I136199984', 'display_name': 'Harvard University', 'ror': 'https://ror.org/03vek6s52', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I136199984']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'James M. Robins', 'raw_affiliation_strings': ['Departments of Biostatistics and Epidemiology, Harvard School of Public Health, Boston, Massachusetts\xa002115, U.S.A.'], 'affiliations': [{'raw_affiliation_string': 'Departments of Biostatistics and Epidemiology, Harvard School of Public Health, Boston, Massachusetts\xa002115, U.S.A.', 'institution_ids': ['https://openalex.org/I136199984']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': {'value': 3710, 'currency': 'USD', 'value_usd': 3710, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 13.9, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 1701, 'citation_normalized_percentile': {'value': 0.999684, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 99, 'max': 100}, 'biblio': {'volume': '61', 'issue': '4', 'first_page': '962', 'last_page': '973'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10845', 'display_name': 'Advanced Causal Inference Techniques', 'score': 0.9999, '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/T10845', 'display_name': 'Advanced Causal Inference Techniques', 'score': 0.9999, '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/T11235', 'display_name': 'Statistical Methods in Clinical Trials', 'score': 0.9996, '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/T10243', 'display_name': 'Statistical Methods and Bayesian Inference', 'score': 0.999, '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/inverse-probability', 'display_name': 'Inverse probability', 'score': 0.5387218}, {'id': 'https://openalex.org/keywords/inverse-probability-weighting', 'display_name': 'Inverse probability weighting', 'score': 0.417714}], 'concepts': [{'id': 'https://openalex.org/C185429906', 'wikidata': 'https://www.wikidata.org/wiki/Q1130160', 'display_name': 'Estimator', 'level': 2, 'score': 0.8324222}, {'id': 'https://openalex.org/C9357733', 'wikidata': 'https://www.wikidata.org/wiki/Q6878417', 'display_name': 'Missing data', 'level': 2, 'score': 0.82371646}, {'id': 'https://openalex.org/C108650721', 'wikidata': 'https://www.wikidata.org/wiki/Q1783253', 'display_name': 'Counterfactual thinking', 'level': 2, 'score': 0.7451221}, {'id': 'https://openalex.org/C2776214188', 'wikidata': 'https://www.wikidata.org/wiki/Q408386', 'display_name': 'Inference', 'level': 2, 'score': 0.6948416}, {'id': 'https://openalex.org/C158600405', 'wikidata': 'https://www.wikidata.org/wiki/Q5054566', 'display_name': 'Causal inference', 'level': 2, 'score': 0.6449566}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.54521215}, {'id': 'https://openalex.org/C35981017', 'wikidata': 'https://www.wikidata.org/wiki/Q6060409', 'display_name': 'Inverse probability', 'level': 4, 'score': 0.5387218}, {'id': 'https://openalex.org/C149782125', 'wikidata': 'https://www.wikidata.org/wiki/Q160039', 'display_name': 'Econometrics', 'level': 1, 'score': 0.47918808}, {'id': 'https://openalex.org/C23131810', 'wikidata': 'https://www.wikidata.org/wiki/Q818574', 'display_name': 'Observational study', 'level': 2, 'score': 0.45325595}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.45146254}, {'id': 'https://openalex.org/C2779915747', 'wikidata': 'https://www.wikidata.org/wiki/Q17058619', 'display_name': 'Inverse probability weighting', 'level': 3, 'score': 0.417714}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.3322884}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.23157537}, {'id': 'https://openalex.org/C107673813', 'wikidata': 'https://www.wikidata.org/wiki/Q812534', 'display_name': 'Bayesian probability', 'level': 2, 'score': 0.1572676}, {'id': 'https://openalex.org/C57830394', 'wikidata': 'https://www.wikidata.org/wiki/Q278079', 'display_name': 'Posterior probability', 'level': 3, 'score': 0.12526375}, {'id': 'https://openalex.org/C15744967', 'wikidata': 'https://www.wikidata.org/wiki/Q9418', 'display_name': 'Psychology', 'level': 0, 'score': 0.07098052}, {'id': 'https://openalex.org/C77805123', 'wikidata': 'https://www.wikidata.org/wiki/Q161272', 'display_name': 'Social psychology', 'level': 1, 'score': 0.0}], 'mesh': [{'descriptor_ui': 'D003627', 'descriptor_name': 'Data Interpretation, Statistical', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': True}, {'descriptor_ui': 'D015233', 'descriptor_name': 'Models, Statistical', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': True}, {'descriptor_ui': 'D000928', 'descriptor_name': 'Antidepressive Agents', 'qualifier_ui': 'Q000627', 'qualifier_name': 'therapeutic use', 'is_major_topic': False}, {'descriptor_ui': 'D000928', 'descriptor_name': 'Antidepressive Agents', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D015928', 'descriptor_name': 'Cognitive Behavioral Therapy', 'qualifier_ui': 'Q000592', 'qualifier_name': 'standards', 'is_major_topic': False}, {'descriptor_ui': 'D015928', 'descriptor_name': 'Cognitive Behavioral Therapy', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D003198', 'descriptor_name': 'Computer Simulation', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D003863', 'descriptor_name': 'Depression', 'qualifier_ui': 'Q000188', 'qualifier_name': 'drug therapy', 'is_major_topic': False}, {'descriptor_ui': 'D003863', 'descriptor_name': 'Depression', 'qualifier_ui': 'Q000150', 'qualifier_name': 'complications', 'is_major_topic': False}, {'descriptor_ui': 'D003863', 'descriptor_name': 'Depression', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D006801', 'descriptor_name': 'Humans', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D008137', 'descriptor_name': 'Longitudinal Studies', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D015337', 'descriptor_name': 'Multicenter Studies as Topic', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D009203', 'descriptor_name': 'Myocardial Infarction', 'qualifier_ui': 'Q000150', 'qualifier_name': 'complications', 'is_major_topic': False}, {'descriptor_ui': 'D009203', 'descriptor_name': 'Myocardial Infarction', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}], 'locations_count': 2, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1111/j.1541-0420.2005.00377.x', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S8265502', 'display_name': 'Biometrics', 'issn_l': '0006-341X', 'issn': ['0006-341X', '1541-0420'], '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}, {'is_oa': False, 'landing_page_url': 'https://pubmed.ncbi.nlm.nih.gov/16401269', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306525036', 'display_name': 'PubMed', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I1299303238', 'host_organization_name': 'National Institutes of Health', 'host_organization_lineage': ['https://openalex.org/I1299303238'], 'host_organization_lineage_names': ['National Institutes of Health'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'score': 0.43, 'id': 'https://metadata.un.org/sdg/3', 'display_name': 'Good health and well-being'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 25, 'referenced_works': ['https://openalex.org/W1572302037', 'https://openalex.org/W1622753297', 'https://openalex.org/W1625797753', 'https://openalex.org/W1963805911', 'https://openalex.org/W1981178452', 'https://openalex.org/W1990139173', 'https://openalex.org/W1991042960', 'https://openalex.org/W1992560449', 'https://openalex.org/W2001947543', 'https://openalex.org/W2034806082', 'https://openalex.org/W2039811614', 'https://openalex.org/W2044227108', 'https://openalex.org/W2082296865', 'https://openalex.org/W2082299845', 'https://openalex.org/W2097147565', 'https://openalex.org/W2116739230', 'https://openalex.org/W2125953759', 'https://openalex.org/W2139092034', 'https://openalex.org/W2168639902', 'https://openalex.org/W2319765455', 'https://openalex.org/W2331324207', 'https://openalex.org/W4233471163', 'https://openalex.org/W4249450547', 'https://openalex.org/W4253525948', 'https://openalex.org/W629643490'], 'related_works': ['https://openalex.org/W4389281082', 'https://openalex.org/W4386878567', 'https://openalex.org/W4288346457', 'https://openalex.org/W3170733499', 'https://openalex.org/W3047838553', 'https://openalex.org/W2991635562', 'https://openalex.org/W2983942640', 'https://openalex.org/W2904258822', 'https://openalex.org/W2768893842', 'https://openalex.org/W2322733324'], 'abstract_inverted_index': {'The': [0, 215], 'goal': [1], 'of': [2, 51, 111, 147, 195, 205], 'this': [3], 'article': [4], 'is': [5, 27, 55, 77, 87, 126, 151, 178, 208, 218], 'to': [6, 88, 97, 114, 220], 'construct': [7], 'doubly': [8], 'robust': [9], '(DR)': [10], 'estimators': [11, 184, 207], 'in': [12, 95], 'ignorable': [13], 'missing': [14, 22], 'data': [15, 23, 54, 61, 75, 150, 157, 177], 'and': [16], 'causal': [17, 121], 'inference': [18, 122, 180], 'models.': [19], 'In': [20, 119], 'a': [21, 39, 46, 69, 73, 90, 116, 120, 134, 142, 164, 172, 221], 'model,': [24, 123], 'an': [25, 124], 'estimator': [26, 125], 'DR': [28, 91, 93, 127, 183, 206], 'if': [29, 128], 'it': [30, 129], 'remains': [31, 130], 'consistent': [32, 131], 'when': [33, 132], 'either': [34, 68, 133], '(but': [35], 'not': [36], 'necessarily': [37], 'both)': [38], 'model': [40, 47, 71, 76, 135, 143, 165, 173], 'for': [41, 48, 86, 136, 144, 166, 174], 'the': [42, 49, 52, 80, 106, 137, 145, 148, 167, 175, 193, 201], 'missingness': [43, 70], 'mechanism': [44, 140, 170], 'or': [45, 72, 100, 141, 171], 'distribution': [50, 146], 'complete': [53, 74], 'correctly': [56, 152], 'specified.': [57, 153], 'Because': [58, 154], 'with': [59, 155], 'observational': [60, 156], 'one': [62, 158], 'can': [63, 83, 159], 'never': [64, 160], 'be': [65, 84, 161], 'sure': [66, 162], 'that': [67, 82, 163, 200], 'correct,': [78, 179], 'perhaps': [79], 'best': [81], 'hoped': [85], 'find': [89], 'estimator.': [92], 'estimators,': [94, 104], 'contrast': [96], 'standard': [98], 'likelihood-based': [99], '(nonaugmented)': [101], 'inverse': [102], 'probability-weighted': [103], 'give': [105], 'analyst': [107], 'two': [108], 'chances,': [109], 'instead': [110], 'only': [112], 'one,': [113], 'make': [115], 'valid': [117], 'inference.': [118], 'treatment': [138, 168], 'assignment': [139, 169], 'counterfactual': [149, 176], 'based': [181], 'on': [182], 'should': [185], 'improve': [186], 'upon': [187], 'previous': [188], 'approaches.': [189], 'Indeed,': [190], 'we': [191], 'present': [192], 'results': [194], 'simulation': [196], 'studies': [197], 'which': [198], 'demonstrate': [199], 'finite': [202], 'sample': [203], 'performance': [204], 'as': [209, 211], 'impressive': [210], 'theory': [212], 'would': [213], 'predict.': [214], 'proposed': [216], 'method': [217], 'applied': [219], 'cardiovascular': [222], 'clinical': [223], 'trial.': [224]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2137370054', 'counts_by_year': [{'year': 2024, 'cited_by_count': 100}, {'year': 2023, 'cited_by_count': 149}, {'year': 2022, 'cited_by_count': 153}, {'year': 2021, 'cited_by_count': 160}, {'year': 2020, 'cited_by_count': 163}, {'year': 2019, 'cited_by_count': 174}, {'year': 2018, 'cited_by_count': 131}, {'year': 2017, 'cited_by_count': 122}, {'year': 2016, 'cited_by_count': 73}, {'year': 2015, 'cited_by_count': 87}, {'year': 2014, 'cited_by_count': 83}, {'year': 2013, 'cited_by_count': 69}, {'year': 2012, 'cited_by_count': 59}], 'updated_date': '2024-12-21T10:11:08.212657', 'created_date': '2016-06-24'}