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pro vyhledávání: '"Armstrong, A. B."'
Empirical research typically involves a robustness-efficiency tradeoff. A researcher seeking to estimate a scalar parameter can invoke strong assumptions to motivate a restricted estimator that is precise but may be heavily biased, or they can relax
Externí odkaz:
http://arxiv.org/abs/2305.14265
We consider estimation and inference for a regression coefficient in panels with interactive fixed effects (i.e., with a factor structure). We show that previously developed estimators and confidence intervals (CIs) might be heavily biased and size-d
Externí odkaz:
http://arxiv.org/abs/2210.06639
Autor:
Armstrong, Timothy B.
Multiple testing adjustments, such as the Benjamini and Hochberg (1995) step-up procedure for controlling the false discovery rate (FDR), are typically applied to families of tests that control significance level in the classical sense: for each indi
Externí odkaz:
http://arxiv.org/abs/2209.13686
Autor:
Armstrong, Timothy B.
We consider an experimental design setting in which units are assigned to treatment after being sampled sequentially from an infinite population. We derive asymptotic efficiency bounds that apply to data from any experiment that assigns treatment as
Externí odkaz:
http://arxiv.org/abs/2205.02726
Autor:
Armstrong, Georgina B., Shah, Vidhi, Sanches, Paula, Patel, Mitul, Casey, Ricky, Jamieson, Craig, Burley, Glenn A., Lewis, William, Rattray, Zahra
Publikováno v:
In Computational and Structural Biotechnology Journal December 2024 23:2345-2357
Autor:
Chen, Allen M., Harris, Jeremy P., Nabar, Rupali, Tjoa, Tjoson, Haidar, Yarah, Armstrong, William B.
Publikováno v:
In Radiotherapy and Oncology July 2024 196
We consider inference on a scalar regression coefficient under a constraint on the magnitude of the control coefficients. A class of estimators based on a regularized propensity score regression is shown to exactly solve a tradeoff between worst-case
Externí odkaz:
http://arxiv.org/abs/2012.14823
Autor:
Avila, Azalia, Lao, Oliver B., Neville, Holly L., Yorkgitis, Brian K., Chang, Henry L., Thatch, Keith, Plumley, Donald, Larson, Shawn D., Fitzwater, John W., Markley, Michele, Pedroso, Felipe, Fischer, Anne, Armstrong, Lindsey B., Petroze, Robin T., Snyder, Christopher W.
Publikováno v:
In The American Journal of Surgery February 2024 228:107-112
Publikováno v:
In Advances in Radiation Oncology January 2024 9(1)
Publikováno v:
Econometrica, Volume 90, Issue 6, November 2021, pages 2567-2602
We construct robust empirical Bayes confidence intervals (EBCIs) in a normal means problem. The intervals are centered at the usual linear empirical Bayes estimator, but use a critical value accounting for shrinkage. Parametric EBCIs that assume a no
Externí odkaz:
http://arxiv.org/abs/2004.03448