Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases

MLA

Lisa M. Lix, et al. “Using Multiple Data Features Improved the Validity of Osteoporosis Case Ascertainment from Administrative Databases.” Journal of Clinical Epidemiology, vol. 61, Dec. 2008, pp. 1250–60. EBSCOhost, https://doi.org/10.1016/j.jclinepi.2008.02.002.

APA

Lisa M. Lix, Christopher S Bowman, Souradet Y. Shaw, William D. Leslie, Marina Yogendran, Abba B. Gumel, Colleen J. Metge, Robert C. James, Janet E. Hux, & Richard Baumgartner. (2008). Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases. Journal of Clinical Epidemiology, 61, 1250–1260. https://doi.org/10.1016/j.jclinepi.2008.02.002

Chicago

Lisa M. Lix, Christopher S Bowman, Souradet Y. Shaw, William D. Leslie, Marina Yogendran, Abba B. Gumel, Colleen J. Metge, Robert C. James, Janet E. Hux, and Richard Baumgartner. 2008. “Using Multiple Data Features Improved the Validity of Osteoporosis Case Ascertainment from Administrative Databases.” Journal of Clinical Epidemiology 61 (December): 1250–60. doi:10.1016/j.jclinepi.2008.02.002.