Takip et
David Azriel
David Azriel
Technion
ie.technion.ac.il üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Semi-supervised linear regression
D Azriel, LD Brown, M Sklar, R Berk, A Buja, L Zhao
Journal of the American Statistical Association 117 (540), 2238-2251, 2022
712022
The treatment versus experimentation dilemma in dose finding studies
D Azriel, M Mandel, Y Rinott
Journal of Statistical Planning and Inference 141 (8), 2759-2768, 2011
662011
The empirical distribution of a large number of correlated normal variables
D Azriel, A Schwartzman
Journal of the American Statistical Association 110 (511), 1217-1228, 2015
512015
Dose-finding designs: the role of convergence properties
AP Oron, D Azriel, PD Hoff
The international journal of biostatistics 7 (1), 0000102202155746791298, 2011
462011
Nearly random designs with greatly improved balance
AM Krieger, D Azriel, A Kapelner
Biometrika 106 (3), 695-701, 2019
452019
Harmonizing optimized designs with classic randomization in experiments
A Kapelner, AM Krieger, M Sklar, U Shalit, D Azriel
The American Statistician 75 (2), 195-206, 2021
322021
Head and Neck Cutaneous Squamous Cell Carcinoma Clinicopathological Risk Factors according to Age and Gender: A Population-based Study.
I Wiser, A Scope, D Azriel, E Zloczower, NN Carmel, A Shalom
The Israel Medical Association Journal: IMAJ 18 (5), 275-278, 2016
322016
Optimal allocation to maximize the power of two-sample tests for binary response
D Azriel, M Mandel, Y Rinott
Biometrika 99 (1), 101-113, 2012
322012
Erlang-S: A data-based model of servers in queueing networks
D Azriel, PD Feigin, A Mandelbaum
Management Science 65 (10), 4607-4635, 2019
242019
A note on the robustness of the continual reassessment method
D Azriel
Statistics & Probability Letters 82 (5), 902-906, 2012
222012
Optimal sequential designs in phase I studies
D Azriel
Computational Statistics & Data Analysis 71, 288-297, 2014
182014
Optimal rerandomization designs via a criterion that provides insurance against failed experiments
A Kapelner, AM Krieger, M Sklar, D Azriel
Journal of Statistical Planning and Inference 219, 63-84, 2022
92022
Adaptive designs to maximize power in clinical trials with multiple treatments
D Azriel, PD Feigin
Sequential Analysis 33 (1), 60-86, 2014
72014
Improved estimators for semi-supervised high-dimensional regression model
I Livne, D Azriel, Y Goldberg
Electronic Journal of Statistics 16 (2), 5437-5487, 2022
62022
The conditionality principle in high-dimensional regression
D Azriel
Biometrika 106 (3), 702-707, 2019
62019
Improving the power of the randomization test
AM Krieger, D Azriel, M Sklar, A Kapelner
arXiv preprint arXiv:2008.05980, 2020
52020
Optimal rerandomization via a criterion that provides insurance against failed experiments
A Kapelner, AM Krieger, M Sklar, D Azriel
arXiv preprint arXiv:1905.03337, 2019
52019
Optimal selection of sample-size dependent common subsets of covariates for multi-task regression prediction
D Azriel, Y Rinott
Electronic Journal of Statistics 15 (2), 4966-5013, 2021
42021
Estimation of linear projections of non-sparse coefficients in high-dimensional regression
D Azriel, A Schwartzman
32020
Optimal designs for the development of personalized treatment rules
D Azriel, Y Rinott, M Posch
Scandinavian Journal of Statistics 50 (2), 797-824, 2023
22023
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