Estimating the Efficiency Gain of Covariate-Adjusted Analyses in Future Clinical Trials Using External Data

Autor Li, Xiudi, Li, Sijia, Luedtke, Alex
Vydáno v ArXiv (2021)

Learning to learn from data: Using deep adversarial learning to construct optimal statistical procedures

Autor Luedtke, Alex, Carone, Marco, Simon, Noah, Sofrygin, Oleg
Vydáno v Sci Adv (2020)

Re. Selecting Optimal Subgroups for Treatment Using Many Covariates

Autor Penning de Vries, Bas B. L., Groenwold, Rolf H. H., Luedtke, Alex
Vydáno v Epidemiology (2020)

Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment, for Binary, Ordinal, and Time-to-Event Outcomes

Autor Benkeser, David, Díaz, Iván, Luedtke, Alex, Segal, Jodi, Scharfstein, Daniel, Rosenblum, Michael
Vydáno v medRxiv (2020)

Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes

Autor Benkeser, David, Díaz, Iván, Luedtke, Alex, Segal, Jodi, Scharfstein, Daniel, Rosenblum, Michael
Vydáno v Biometrics (2020)

Rejoinder: Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes

Autor Benkeser, David, Díaz, Iván, Luedtke, Alex, Segal, Jodi, Scharfstein, Daniel, Rosenblum, Michael
Vydáno v Biometrics (2021)

Optimal individualized decision rules using instrumental variable methods

Autor Qiu, Hongxiang, Carone, Marco, Sadikova, Ekaterina, Petukhova, Maria, Kessler, Ronald C., Luedtke, Alex
Vydáno v J Am Stat Assoc (2020)

Suicide prediction models: a critical review of recent research with recommendations for the way forward

Autor Kessler, Ronald C., Bossarte, Robert M., Luedtke, Alex, Zaslavsky, Alan M., Zubizarreta, Jose R.
Vydáno v Mol Psychiatry (2019)

Machine learning methods for developing precision treatment rules with observational data

Autor Kessler, Ronald C., Bossarte, Robert M., Luedtke, Alex, Zaslavsky, Alan M., Zubizarreta, Jose R.
Vydáno v Behav Res Ther (2019)

Selecting Optimal Subgroups for Treatment Using Many Covariates

Autor VanderWeele, Tyler J., Luedtke, Alex R., van der Laan, Mark J., Kessler, Ronald C.
Vydáno v Epidemiology (2019)

Targeted Estimation of the Relationship Between Childhood Adversity and Fluid Intelligence in a US Population Sample of Adolescents

Autor Platt, Jonathan M, McLaughlin, Katie A, Luedtke, Alex R, Ahern, Jennifer, Kaufman, Alan S, Keyes, Katherine M
Vydáno v Am J Epidemiol (2018)

Development and Validation of a Machine Learning Individualized Treatment Rule in First-Episode Schizophrenia

Autor Wu, Chi-Shin, Luedtke, Alex R., Sadikova, Ekaterina, Tsai, Hui-Ju, Liao, Shih-Cheng, Liu, Chen-Chung, Gau, Susan Shur-Fen, VanderWeele, Tyler J., Kessler, Ronald C.
Vydáno v JAMA Netw Open (2020)

Using Administrative Data to Predict Suicide After Psychiatric Hospitalization in the Veterans Health Administration System

Autor Kessler, Ronald C., Bauer, Mark S., Bishop, Todd M., Demler, Olga V., Dobscha, Steven K., Gildea, Sarah M., Goulet, Joseph L., Karras, Elizabeth, Kreyenbuhl, Julie, Landes, Sara J., Liu, Howard, Luedtke, Alex R., Mair, Patrick, McAuliffe, William H. B., Nock, Matthew, Petukhova, Maria, Pigeon, Wilfred R., Sampson, Nancy A., Smoller, Jordan W., Weinstock, Lauren M., Bossarte, Robert M.
Vydáno v Front Psychiatry (2020)

Clinical Endpoints for Evaluating Efficacy in COVID-19 Vaccine Trials

Autor Mehrotra, Devan V., Janes, Holly E., Fleming, Thomas R., Annunziato, Paula W., Neuzil, Kathleen M., Carpp, Lindsay N., Benkeser, David, Brown, Elizabeth R., Carone, Marco, Cho, Iksung, Donnell, Deborah, Fay, Michael P., Fong, Youyi, Han, Shu, Hirsch, Ian, Huang, Ying, Huang, Yunda, Hyrien, Ollivier, Juraska, Michal, Luedtke, Alex, Nason, Martha, Vandebosch, An, Zhou, Honghong, Cohen, Myron S., Corey, Lawrence, Hartzel, Jonathan, Follmann, Dean, Gilbert, Peter B.
Vydáno v Ann Intern Med (2020)

Assessing Durability of Vaccine Effect Following Blinded Crossover in COVID-19 Vaccine Efficacy Trials

Autor Follmann, Dean, Fintzi, Jonathan, Fay, Michael P., Janes, Holly E., Baden, Lindsey, Sahly, Hana El, Fleming, Thomas R., Mehrotra, Devan V., Carpp, Lindsay N., Juraska, Michal, Benkeser, David, Donnell, Deborah, Fong, Youyi, Han, Shu, Hirsch, Ian, Huang, Ying, Huang, Yunda, Hyrien, Ollivier, Luedtke, Alex, Carone, Marco, Nason, Martha, Vandebosch, An, Zhou, Honghong, Cho, Iksung, Gabriel, Erin, Kublin, James G., Cohen, Myron S., Corey, Lawrence, Gilbert, Peter B., Neuzil, Kathleen M.
Vydáno v medRxiv (2020)

A Deferred-Vaccination Design to Assess Durability of COVID-19 Vaccine Effect After the Placebo Group Is Vaccinated

Autor Follmann, Dean, Fintzi, Jonathan, Fay, Michael P., Janes, Holly E., Baden, Lindsey R., El Sahly, Hana M., Fleming, Thomas R., Mehrotra, Devan V., Carpp, Lindsay N., Juraska, Michal, Benkeser, David, Donnell, Deborah, Fong, Youyi, Han, Shu, Hirsch, Ian, Huang, Ying, Huang, Yunda, Hyrien, Ollivier, Luedtke, Alex, Carone, Marco, Nason, Martha, Vandebosch, An, Zhou, Honghong, Cho, Iksung, Gabriel, Erin, Kublin, James G., Cohen, Myron S., Corey, Lawrence, Gilbert, Peter B., Neuzil, Kathleen M.
Vydáno v Ann Intern Med (2021)