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    Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data von Bhandari, Parash Mani, Levis, Brooke, Neupane, Dipika, Patten, Scott B., Shrier, Ian, Thombs, Brett D., Benedetti, Andrea, Sun, Ying, He, Chen, Rice, Danielle B., Krishnan, Ankur, Wu, Yin, Azar, Marleine, Sanchez, Tatiana A., Chiovitti, Matthew J., Saadat, Nazanin, Riehm, Kira E., Imran, Mahrukh, Negeri, Zelalem, Boruff, Jill T., Cuijpers, Pim, Gilbody, Simon, Ioannidis, John P.A., Kloda, Lorie A., Ziegelstein, Roy C., Comeau, Liane, Mitchell, Nicholas D., Tonelli, Marcello, Vigod, Simone N., Aceti, Franca, Alvarado, Rubén, Alvarado-Esquivel, Cosme, Bakare, Muideen O., Barnes, Jacqueline, Bavle, Amar D., Beck, Cheryl Tatano, Bindt, Carola, Boyce, Philip M., Bunevicius, Adomas, Castro e Couto, Tiago, Chaudron, Linda H., Correa, Humberto, de Figueiredo, Felipe Pinheiro, Eapen, Valsamma, Favez, Nicolas, Felice, Ethel, Fernandes, Michelle, Figueiredo, Barbara, Fisher, Jane R.W., Garcia-Esteve, Lluïsa, Giardinelli, Lisa, Helle, Nadine, Howard, Louise M., Khalifa, Dina Sami, Kohlhoff, Jane, Kozinszky, Zoltán, Kusminskas, Laima, Lelli, Lorenzo, Leonardou, Angeliki A., Maes, Michael, Meuti, Valentina, Radoš, Sandra Nakić, García, Purificación Navarro, Nishi, Daisuke, Luwa E-Andjafono, Daniel Okitundu, Pawlby, Susan J., Quispel, Chantal, Robertson-Blackmore, Emma, Rochat, Tamsen J., Rowe, Heather J., Sharp, Deborah J., Siu, Bonnie W.M., Skalkidou, Alkistis, Stein, Alan, Stewart, Robert C., Su, Kuan-Pin, Sundström-Poromaa, Inger, Tadinac, Meri, Tandon, S. Darius, Tendais, Iva, Thiagayson, Pavaani, Töreki, Annamária, Torres-Giménez, Anna, Tran, Thach D., Trevillion, Kylee, Turner, Katherine, Vega-Dienstmaier, Johann M., Wynter, Karen, Yonkers, Kimberly A.


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