Statistical analysis of injury and nonconformance frequencies in construction: negative binomial regression model Love, Peter ED and Teo, Pauline 2017, Statistical analysis of injury and nonconformance frequencies in construction: negative binomial regression model, Journal of construction engineering and management, vol. 143, no. 8, pp. 05017011-1-05017011-9, doi: 10.1061/(ASCE)CO.1943-7862.0001326. Attached Files Name Description MIMEType Size Downloads Title Statistical analysis of injury and nonconformance frequencies in construction: negative binomial regression model Author(s) Love, Peter ED Teo, Pauline Journal name Journal of construction engineering and management Volume number 143 Issue number 8 Article ID 05017011 Start page 05017011-1 End page 05017011-9 Total pages 9 Publisher American Society of Civil Engineers Place of publication Reston, Va. Publication date 2017-08 ISSN 0733-9364 1943-7862 Keyword(s) injury lead indicator negative binomial model non-conformances (NCR) rework requisite imagination labor and personnel issues Language eng DOI 10.1061/(ASCE)CO.1943-7862.0001326 Field of Research 1202 Building 0905 Civil Engineering HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2017, ASCE Persistent URL http://hdl.handle.net/10536/DRO/DU:30104753 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Architecture and Built Environment Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 14 Nov 2017, 16:32:56 EST Wed, 15 Nov 2017, 04:01:44 EST Wed, 15 Nov 2017, 05:04:35 EST Wed, 15 Nov 2017, 13:15:14 EST Wed, 15 Nov 2017, 13:17:07 EST Wed, 15 Nov 2017, 13:18:00 EST Sat, 10 Mar 2018, 01:32:33 EST Filtered Full Citation counts:   Cited 6 times in TR Web of Science Cited 11 times in Scopus Search Google Scholar Access Statistics: 133 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Tue, 14 Nov 2017, 16:32:56 EST

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