Cite
Sparse Principal Component Analysis for Statistical Inference in the Presence of Multicollinearity: A Case Study of Environmental Exposures on All-cause Mortality in UK Biobank
MLA
Mohammad Mamouei, et al. Sparse Principal Component Analysis for Statistical Inference in the Presence of Multicollinearity: A Case Study of Environmental Exposures on All-Cause Mortality in UK Biobank. Feb. 2022. EBSCOhost, https://doi.org/10.21203/rs.3.rs-1269915/v1.
APA
Mohammad Mamouei, Yajie Zhu, Milad Nazarzadeh, Abdelaali Hassaine, Gholamreza Salimi-Khorshidi, Yutong Cai, & Kazem Rahimi. (2022). Sparse Principal Component Analysis for Statistical Inference in the Presence of Multicollinearity: A Case Study of Environmental Exposures on All-cause Mortality in UK Biobank. https://doi.org/10.21203/rs.3.rs-1269915/v1
Chicago
Mohammad Mamouei, Yajie Zhu, Milad Nazarzadeh, Abdelaali Hassaine, Gholamreza Salimi-Khorshidi, Yutong Cai, and Kazem Rahimi. 2022. “Sparse Principal Component Analysis for Statistical Inference in the Presence of Multicollinearity: A Case Study of Environmental Exposures on All-Cause Mortality in UK Biobank,” February. doi:10.21203/rs.3.rs-1269915/v1.