Li, Sai, Cai, T. Tony, and Li, Hongzhe. Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach. Retrieved from https://par.nsf.gov/biblio/10467715. Journal of the American Statistical Association 117.540 Web. doi:10.1080/01621459.2021.1888740.

Li, Sai, Cai, T. Tony, & Li, Hongzhe. Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach. Journal of the American Statistical Association, 117 (540). Retrieved from https://par.nsf.gov/biblio/10467715. https://doi.org/10.1080/01621459.2021.1888740

Li, Sai, Cai, T. Tony, and Li, Hongzhe. "Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach". Journal of the American Statistical Association 117 (540). Country unknown/Code not available: Taylor & Francis. https://doi.org/10.1080/01621459.2021.1888740. https://par.nsf.gov/biblio/10467715.

@article{osti_10467715,
place = {Country unknown/Code not available}, title = {Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach}, url = {https://par.nsf.gov/biblio/10467715}, DOI = {10.1080/01621459.2021.1888740}, abstractNote = {}, journal = {Journal of the American Statistical Association}, volume = {117}, number = {540}, publisher = {Taylor & Francis}, author = {Li, Sai and Cai, T. Tony and Li, Hongzhe}, }