Validation of Pediatric Diabetes Case Identification Approaches for Diagnosed Cases by Using Information in the Electronic Health Records of a Large Integrated Managed Health Care Organization.

MLA

Lawrence, Jean M., et al. “Validation of Pediatric Diabetes Case Identification Approaches for Diagnosed Cases by Using Information in the Electronic Health Records of a Large Integrated Managed Health Care Organization.” American Journal of Epidemiology, vol. 179, no. 1, Jan. 2014, pp. 27–38. EBSCOhost, https://doi.org/10.1093/aje/kwt230.

APA

Lawrence, J. M., Black, M. H., Zhang, J. L., Slezak, J. M., Takhar, H. S., Koebnick, C., Mayer-Davis, E. J., Zhong, V. W., Dabelea, D., Hamman, R. F., & Reynolds, K. (2014). Validation of Pediatric Diabetes Case Identification Approaches for Diagnosed Cases by Using Information in the Electronic Health Records of a Large Integrated Managed Health Care Organization. American Journal of Epidemiology, 179(1), 27–38. https://doi.org/10.1093/aje/kwt230

Chicago

Lawrence, Jean M., Mary Helen Black, Jian L. Zhang, Jeff M. Slezak, Harpreet S. Takhar, Corinna Koebnick, Elizabeth J. Mayer-Davis, et al. 2014. “Validation of Pediatric Diabetes Case Identification Approaches for Diagnosed Cases by Using Information in the Electronic Health Records of a Large Integrated Managed Health Care Organization.” American Journal of Epidemiology 179 (1): 27–38. doi:10.1093/aje/kwt230.