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Kornak J, Fields J, Kremers W, et al. Nonlinear Z-score modeling for improved detection of cognitive abnormality. Alzheimers Dement (Amst). 2019;11:797-808doi: 10.1016/j.dadm.2019.08.003.
Kornak, J., Fields, J., Kremers, W., Farmer, S., Heuer, H. W., Forsberg, L., Brushaber, D., Rindels, A., Dodge, H., Weintraub, S., Besser, L., Appleby, B., Bordelon, Y., Bove, J., Brannelly, P., Caso, C., Coppola, G., Dever, R., Dheel, C., Dickerson, B., Dickinson, S., Dominguez, S., Domoto-Reilly, K., Faber, K., Ferrall, J., Fishman, A., Fong, J., Foroud, T., Gavrilova, R., Gearhart, D., Ghazanfari, B., Ghoshal, N., Goldman, J., Graff-Radford, J., Graff-Radford, N., Grant, I. M., Grossman, M., Haley, D., Hsiao, J., Hsiung, R., Huey, E. D., Irwin, D., Jones, D., Jones, L., Kantarci, K., Karydas, A., Kaufer, D., Kerwin, D., Knopman, D., Kraft, R., Kramer, J., Kukull, W., Lapid, M., Litvan, I., Ljubenkov, P., Lucente, D., Lungu, C., Mackenzie, I., Maldonado, M., Manoochehri, M., McGinnis, S., McKinley, E., Mendez, M., Miller, B., Multani, N., Onyike, C., Padmanabhan, J., Pantelyat, A., Pearlman, R., Petrucelli, L., Potter, M., Rademakers, R., Ramos, E. M., Rankin, K., Rascovsky, K., Roberson, E. D., Rogalski-Miller, E., Sengdy, P., Shaw, L., Staffaroni, A. M., Sutherland, M., Syrjanen, J., Tartaglia, C., Tatton, N., Taylor, J., Toga, A., Trojanowski, J., Wang, P., Wong, B., Wszolek, Z., Boeve, B., Boxer, A., Rosen, H. (2019). Nonlinear Z-score modeling for improved detection of cognitive abnormality. Alzheimer's & dementia (Amsterdam, Netherlands), 11797-808. https://doi.org/10.1016/j.dadm.2019.08.003
Kornak, John, et al. "Nonlinear Z-score modeling for improved detection of cognitive abnormality." Alzheimer's & dementia (Amsterdam, Netherlands) vol. 11 (2019): 797-808. doi: https://doi.org/10.1016/j.dadm.2019.08.003
Kornak J, Fields J, Kremers W, Farmer S, Heuer HW, Forsberg L, Brushaber D, Rindels A, Dodge H, Weintraub S, Besser L, Appleby B, Bordelon Y, Bove J, Brannelly P, Caso C, Coppola G, Dever R, Dheel C, Dickerson B, Dickinson S, Dominguez S, Domoto-Reilly K, Faber K, Ferrall J, Fishman A, Fong J, Foroud T, Gavrilova R, Gearhart D, Ghazanfari B, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford N, Grant IM, Grossman M, Haley D, Hsiao J, Hsiung R, Huey ED, Irwin D, Jones D, Jones L, Kantarci K, Karydas A, Kaufer D, Kerwin D, Knopman D, Kraft R, Kramer J, Kukull W, Lapid M, Litvan I, Ljubenkov P, Lucente D, Lungu C, Mackenzie I, Maldonado M, Manoochehri M, McGinnis S, McKinley E, Mendez M, Miller B, Multani N, Onyike C, Padmanabhan J, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin K, Rascovsky K, Roberson ED, Rogalski-Miller E, Sengdy P, Shaw L, Staffaroni AM, Sutherland M, Syrjanen J, Tartaglia C, Tatton N, Taylor J, Toga A, Trojanowski J, Wang P, Wong B, Wszolek Z, Boeve B, Boxer A, Rosen H. Nonlinear Z-score modeling for improved detection of cognitive abnormality. Alzheimers Dement (Amst). 2019 Dec 05;11:797-808. doi: 10.1016/j.dadm.2019.08.003. eCollection 2019 Dec. PMID: 31872042; PMCID: PMC6911910.
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