Publication Information

{'id': 'https://openalex.org/W1541397836', 'doi': 'https://doi.org/10.1002/9780470905173.ch26', 'title': 'Stepwise Multiple Regression', 'display_name': 'Stepwise Multiple Regression', 'publication_year': 2010, 'publication_date': '2010-11-12', 'ids': {'openalex': 'https://openalex.org/W1541397836', 'doi': 'https://doi.org/10.1002/9780470905173.ch26', 'mag': '1541397836'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1002/9780470905173.ch26', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'other', 'type_crossref': 'other', '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/A5040571169', 'display_name': 'Richard A. Armstrong', 'orcid': 'https://orcid.org/0000-0002-5046-3199'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Richard A. Armstrong', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5044318347', 'display_name': 'Anthony C. Hilton', 'orcid': 'https://orcid.org/0000-0001-6161-2762'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Anthony C. Hilton', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': None, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 21, 'citation_normalized_percentile': {'value': 0.932836, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 89, 'max': 90}, 'biblio': {'volume': None, 'issue': None, 'first_page': '135', 'last_page': '138'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11918', 'display_name': 'Forecasting Techniques and Applications', 'score': 0.2259, 'subfield': {'id': 'https://openalex.org/subfields/1803', 'display_name': 'Management Science and Operations Research'}, 'field': {'id': 'https://openalex.org/fields/18', 'display_name': 'Decision Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, 'topics': [{'id': 'https://openalex.org/T11918', 'display_name': 'Forecasting Techniques and Applications', 'score': 0.2259, 'subfield': {'id': 'https://openalex.org/subfields/1803', 'display_name': 'Management Science and Operations Research'}, 'field': {'id': 'https://openalex.org/fields/18', 'display_name': 'Decision Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/stepwise-regression', 'display_name': 'Stepwise regression', 'score': 0.7110031}, {'id': 'https://openalex.org/keywords/variables', 'display_name': 'Variables', 'score': 0.6281631}, {'id': 'https://openalex.org/keywords/regression-diagnostic', 'display_name': 'Regression diagnostic', 'score': 0.58162755}], 'concepts': [{'id': 'https://openalex.org/C83546350', 'wikidata': 'https://www.wikidata.org/wiki/Q1139051', 'display_name': 'Regression', 'level': 2, 'score': 0.7266583}, {'id': 'https://openalex.org/C170964787', 'wikidata': 'https://www.wikidata.org/wiki/Q7611170', 'display_name': 'Stepwise regression', 'level': 2, 'score': 0.7110031}, {'id': 'https://openalex.org/C152877465', 'wikidata': 'https://www.wikidata.org/wiki/Q208042', 'display_name': 'Regression analysis', 'level': 2, 'score': 0.67632914}, {'id': 'https://openalex.org/C27574286', 'wikidata': 'https://www.wikidata.org/wiki/Q320723', 'display_name': 'Variables', 'level': 2, 'score': 0.6281631}, {'id': 'https://openalex.org/C57381214', 'wikidata': 'https://www.wikidata.org/wiki/Q55631393', 'display_name': 'Regression diagnostic', 'level': 4, 'score': 0.58162755}, {'id': 'https://openalex.org/C189430467', 'wikidata': 'https://www.wikidata.org/wiki/Q7293293', 'display_name': 'Ranking (information retrieval)', 'level': 2, 'score': 0.5617537}, {'id': 'https://openalex.org/C182365436', 'wikidata': 'https://www.wikidata.org/wiki/Q50701', 'display_name': 'Variable (mathematics)', 'level': 2, 'score': 0.55377936}, {'id': 'https://openalex.org/C90157343', 'wikidata': 'https://www.wikidata.org/wiki/Q5188196', 'display_name': 'Cross-sectional regression', 'level': 4, 'score': 0.5491625}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.50784093}, {'id': 'https://openalex.org/C48921125', 'wikidata': 'https://www.wikidata.org/wiki/Q10861030', 'display_name': 'Linear regression', 'level': 2, 'score': 0.49791908}, {'id': 'https://openalex.org/C35519122', 'wikidata': 'https://www.wikidata.org/wiki/Q3775699', 'display_name': 'Segmented regression', 'level': 4, 'score': 0.4717962}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.39409462}, {'id': 'https://openalex.org/C149782125', 'wikidata': 'https://www.wikidata.org/wiki/Q160039', 'display_name': 'Econometrics', 'level': 1, 'score': 0.3840356}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.33316457}, {'id': 'https://openalex.org/C120068334', 'wikidata': 'https://www.wikidata.org/wiki/Q45343', 'display_name': 'Polynomial regression', 'level': 3, 'score': 0.23825791}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.17124736}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1002/9780470905173.ch26', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'score': 0.85, 'id': 'https://metadata.un.org/sdg/10', 'display_name': 'Reduced inequalities'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W623416330', 'https://openalex.org/W603221366', 'https://openalex.org/W4251253833', 'https://openalex.org/W4206974938', 'https://openalex.org/W2800882488', 'https://openalex.org/W2240678196', 'https://openalex.org/W1579729625', 'https://openalex.org/W1541397836', 'https://openalex.org/W1505053059', 'https://openalex.org/W1496469336'], 'abstract_inverted_index': {'Chapter': [0], '26': [1], 'Stepwise': [2, 118], 'Multiple': [3], 'Regression': [4], 'Richard': [5, 8, 28, 31, 51, 54, 78], 'A.': [6, 9, 29, 32, 52, 55, 76, 79], 'Armstrong,': [7, 30, 53, 77], 'ArmstrongSearch': [10, 33, 56, 80], 'for': [11, 22, 34, 45, 57, 68, 81, 92, 158], 'more': [12, 23, 35, 46, 58, 69, 82, 93, 194, 215], 'papers': [13, 24, 36, 47, 59, 70, 83, 94], 'by': [14, 25, 37, 48, 60, 71, 84, 95, 228], 'this': [15, 26, 38, 49, 61, 72, 85, 96], 'authorAnthony': [16, 39, 62, 86], 'C.': [17, 20, 40, 43, 63, 66, 87, 90], 'Hilton,': [18, 41, 64, 88], 'Anthony': [19, 42, 65, 89], 'HiltonSearch': [21, 44, 67, 91], 'author': [27, 50, 73, 97], 'Book': [74], 'Author(s):Richard': [75], 'First': [98], 'published:': [99], '12': [100], 'November': [101], '2010': [102], 'https://doi.org/10.1002/9780470905173.ch26Citations:': [103], '3': [104], 'AboutPDFPDF': [105], 'ToolsRequest': [106], 'permissionExport': [107], 'citationAdd': [108], 'to': [109, 187, 197, 205, 224], 'favoritesTrack': [110], 'citation': [111], 'ShareShareShare': [112], 'a': [113, 231], 'linkShare': [114], 'onFacebookTwitterLinked': [115], 'InRedditWechat': [116], 'Summary': [117], 'multiple': [119], 'regression': [120, 162], 'techniques': [121], 'are': [122, 166, 172], 'useful': [123], 'in': [124, 135, 138, 160, 240], 'identifying': [125], 'the': [126, 130, 155, 161, 169, 179, 189, 206, 225], 'major': [127], 'variables': [128, 157, 171, 190, 199], 'influencing': [129], 'dependent': [131], 'variable': [132], 'Y': [133, 193], 'and': [134, 146, 163, 196], 'ranking': [136], 'them': [137], 'order': [139], 'of': [140, 218], 'importance.': [141], 'The': [142, 208], 'step': [143, 147, 180, 209], '-': [144, 148, 181, 210], 'up': [145, 182], 'down': [149, 211], 'methods': [150], 'do': [151], 'not': [152], 'necessarily': [153], 'select': [154], 'same': [156], 'inclusion': [159], 'these': [164], 'differences': [165], 'magnified': [167], 'when': [168, 184], 'X': [170], 'themselves': [173], 'intercorrelated.': [174], 'Investigators': [175], 'may': [176, 213, 220, 234], 'sometimes': [177], 'use': [178], 'method': [183, 212], 'they': [185], 'wish': [186], 'define': [188], 'that': [191, 200], 'influence': [192], 'rigorously': [195], 'exclude': [198], 'make': [201, 221], 'relatively': [202], 'small': [203, 222], 'contributions': [204, 223], 'regression.': [207], 'retain': [214], 'variables,': [216], 'some': [217], 'which': [219], 'regression,': [226], 'but': [227], 'retaining': [229], 'them,': [230], 'better': [232], 'prediction': [233], 'result.': [235], 'Citing': [236], 'Literature': [237], 'Statistical': [238], 'Analysis': [239], 'Microbiology:': [241], 'Statnotes': [242], 'RelatedInformation': [243]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W1541397836', 'counts_by_year': [{'year': 2024, 'cited_by_count': 2}, {'year': 2023, 'cited_by_count': 1}, {'year': 2021, 'cited_by_count': 4}, {'year': 2018, 'cited_by_count': 1}, {'year': 2017, 'cited_by_count': 3}, {'year': 2016, 'cited_by_count': 1}, {'year': 2015, 'cited_by_count': 4}, {'year': 2012, 'cited_by_count': 2}], 'updated_date': '2024-12-17T16:12:29.703072', 'created_date': '2016-06-24'}