ORCID as entered in ROS

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Lin PI; Martin ER; Bronson PG; Browning-Large C; Small GW; Schmechel DE; Welsh-Bohmer KA; Haines JL; Gilbert JR; Pericak-Vance MA, 2006, 'Exploring the association of glyceraldehyde-3-phosphate dehydrogenase gene and Alzheimer disease', Neurology, 67, pp. 64 - 68, http://dx.doi.org/10.1212/01.wnl.0000223438.90113.4e
Chong RY; Oswald L; Yang X; Uhart M; Lin PI; Wand GS, 2006, 'The mu-opioid receptor polymorphism A118G predicts cortisol responses to naloxone and stress', Neuropsychopharmacology, 31, pp. 204 - 211, http://dx.doi.org/10.1038/sj.npp.1300856
Slifer MA; Gilbert JR; Lin P-I; Liang X; Haines JL; Pericak-Vance MA, 2006, 'P1–330: Large scale candidate gene association studies in Alzheimer's disease', Alzheimer's & Dementia, 2, http://dx.doi.org/10.1016/j.jalz.2006.05.708
Lin PI; McInnis MG; Potash JB; Willour VL; MacKinnon DF; Miao K; DePaulo JR; Zandi PP, 2005, 'Assessment of the effect of age at onset on linkage to bipolar disorder: Evidence on chromosomes 18p and 21q', American Journal of Human Genetics, 77, pp. 545 - 555, http://dx.doi.org/10.1086/491602
Lin P-I, 2013, 'Development of sports center construction indicators', in Meen TH; Prior SD; Lam ADKT (eds.), INNOVATION, COMMUNICATION AND ENGINEERING, CRC PRESS-TAYLOR & FRANCIS GROUP, PEOPLES R CHINA, Qingdao, pp. 793 - 796, presented at 2nd International Conference on Innovation, Communication and Engineering (ICICE), PEOPLES R CHINA, Qingdao, 26 October 2013 - 01 November 2013, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000337300500191&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
Lin P-I, 2013, 'Study of green building indicators in Taiwan sport stadiums', in Meen TH; Prior SD; Lam ADKT (eds.), INNOVATION, COMMUNICATION AND ENGINEERING, CRC PRESS-TAYLOR & FRANCIS GROUP, PEOPLES R CHINA, Qingdao, pp. 475 - 477, presented at 2nd International Conference on Innovation, Communication and Engineering (ICICE), PEOPLES R CHINA, Qingdao, 26 October 2013 - 01 November 2013, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000337300500116&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
Lin P-I; Thaker G, 2009, 'NRXN3, A NOVEL RISK GENE FOR SCHIZOPHRENIA', in SCHIZOPHRENIA BULLETIN, OXFORD UNIV PRESS, CA, San Diego, pp. 126 - 126, presented at 12th International Congress on Schizophrenia Research, CA, San Diego, 28 March 2009 - 01 April 2009, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000263964700368&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
Wonodi I; Hong LE; Stine OC; Lewis J; Lin P-I; Thaker GK, 2008, 'Effect of dopamine transporter VNTR polymorphism on prepulse inhibition in schizophrenia', in BIOLOGICAL PSYCHIATRY, ELSEVIER SCIENCE INC, DC, Washington, pp. 273S - 273S, presented at 63rd Annual Convention of the Society-of-Biological-Psychiatry, DC, Washington, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000254163700870&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
Waltz JA; Wonodi I; Elliot A; Lin P-I; Hong LE; Gold JM; Thaker G, 2008, 'Genetic influences on reinforcement learning performance in Schizophrenia', in BIOLOGICAL PSYCHIATRY, ELSEVIER SCIENCE INC, DC, Washington, pp. 267S - 267S, presented at 63rd Annual Convention of the Society-of-Biological-Psychiatry, DC, Washington, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000254163700848&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
Thaker GK; Wonodi I; Hong LE; Lin P-I; Stine OC, 2008, 'Predictive pursuit phenotype: Gene association and expression studies', in BIOLOGICAL PSYCHIATRY, ELSEVIER SCIENCE INC, DC, Washington, pp. 138S - 138S, presented at 63rd Annual Convention of the Society-of-Biological-Psychiatry, DC, Washington, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000254163700440&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
Lin D; Kald E; Beckman L; Eapen V, 2022, 'EXPLORING THE MODIFIERS FOR THE EFFECT OF NEURODEVELOPMENTAL DISORDERS ON THE RISK OF BULLYING VICTIMISATION', in AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY, SAGE PUBLICATIONS LTD, Vol. 56, pp. 170 - 170, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000792769900404&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
Nayeem N; Bello-Kottenstette J; Messias E; Lin P-ID, 2025, Gender Differences in Cannabis as a Mediator Between Distress Factors and Non-Fatal Suicidal Behaviors, http://dx.doi.org/10.21203/rs.3.rs-5843916/v1
Rheinberger D; Baffsky R; McGillivray L; Zbukvic I; Dadich A; Larsen ME; Lin P-I; Gan DZQ; Kaplun C; Wilcox HC; Eapen V; Middleton PM; Torok M, 2023, Examining the Feasibility of Implementing Digital Mental Health Innovations Into Hospitals to Support Youth in Suicide Crisis: Interview Study With Young People and Health Professionals (Preprint), http://dx.doi.org/10.2196/preprints.51398
Brice F; Lam-Cassetarri C; Gerstl B; Eapen V; Lin P-I, 2023, Evaluating the role of visual attention bias in emotion dysregulation of young children, http://dx.doi.org/10.31234/osf.io/p97jb
Khan JR; John JR; Middleton P; Huang Y; Lin P-I; Hu N; Jalaludin B; Chay P; Lingam R; Eapen V, 2023, Factors Associated with Extended Length of Stay for Paediatric Mental Health Presentations to Emergency Departments in South Western Sydney, Australia, http://dx.doi.org/10.20944/preprints202302.0008.v1
Dullur P; Joseph J; Diaz AM; Lin P-I; Jairam R; Davies R; Masi A; Shulruf B; Eapen V, 2022, Screening for Media Use in the Emergency Department Among Young Australians: Cross-sectional Study (Preprint), http://dx.doi.org/10.2196/preprints.42986
John J; Synn EP; Winata T; Eapen V; Lin P-I, 2022, Increased ambulance attendances related to suicide and self-injury in response to the pandemic in Australia, http://dx.doi.org/10.1101/2022.05.29.22273082
Quinn T; Hess J; Marshe V; Barnett M; Hauschild A-C; Maciukiewicz M; Elsheikh SSM; Emanuel S; Trakadis Y; Breen M; Barnett E; Zhang-James Y; Ahsen ME; Cao H; Chen J; Hou J; Salekin A; Lin P-I; Nicodemus K; Meyer-Lindenberg A; Bichindaritz I; Faraone S; Cairns M; Pandey G; Mueller D; Glatt S, 2022, Signal from Noise: Using Machine Learning to Distil Knowledge from Data in Biological Psychiatry, http://dx.doi.org/10.31234/osf.io/dz7gt
Diaz AM; Tully L; Masi A; Lin P-I; Efron D; Woolfenden S; Eapen V, 2021, A Cross-sectional Examination of the Association Between Parental Distress and the Well-being of Children With Neurodevelopmental Disorders During the COVID-19 Pandemic, http://dx.doi.org/10.21203/rs.3.rs-821990/v1
Klein L; D'Urso S; Eapen V; Hwang L-D; Lin P-I, 2021, Exploring Polygenic Contributors to Subgroups of Comorbid Conditions in Atism Spectrum Disorder, http://dx.doi.org/10.21203/rs.3.rs-864669/v1
Klein L; D’Urso S; Eapen V; Hwang L-D; Lin P-I, 2021, Exploring Polygenic Contributors To Subgroups of Comorbid Conditions In Autism Spectrum Disorder, http://dx.doi.org/10.21203/rs.3.rs-948090/v1
Aktar S; Ahamad MM; Rashed-Al-Mahfuz M; Azad AKM; Uddin S; Kamal AHM; Alyami SA; Lin P-I; Islam SMS; Quinn JMW; Eapen V; Moni MA, 2020, Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development (Preprint), http://dx.doi.org/10.2196/preprints.25884
Aktar S; Ahamad MM; Rashed-Al-Mahfuz M; Azad AKM; Uddin S; Kamal AHM; Alyami SA; Lin P-I; Islam SMS; Quinn JMW; Eapen V; Moni MA, 2020, Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data, http://dx.doi.org/10.2196/25884
Burnett D; Eapen V; Lin P-I, 2020, Time Trends of the Public’s Attention Toward Suicide During the COVID-19 Pandemic: Retrospective, Longitudinal Time-Series Study (Preprint), http://dx.doi.org/10.2196/preprints.24694
Lin P-I; Moni MA; Eapen V; Gau SS-F, 2020, Divide and Conquer: Clustering Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms, http://dx.doi.org/10.21203/rs.3.rs-87427/v1