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pro vyhledávání: '"Robbins, Michael A."'
Resampling techniques have become increasingly popular for estimation of uncertainty in data collected via surveys. Survey data are also frequently subject to missing data which are often imputed. This note addresses the issue of using resampling met
Externí odkaz:
http://arxiv.org/abs/2311.13815
Autor:
Aghaee, Mahya, Ledzewicz, Urszula, Robbins, Michael, Bezman, Natalie, Cho, Hearn Jay, Moore, Helen
While many novel therapies have been approved in recent years for treating patients with multiple myeloma, there is still no established curative regimen, especially for patients with high risk disease. In this work, we use a mathematical modeling ap
Externí odkaz:
http://arxiv.org/abs/2211.09280
Policymakers often require information on programs' long-term impacts that is not available when decisions are made. We demonstrate how data fusion methods may be used address the problem of missing final outcomes and predict long-run impacts of inte
Externí odkaz:
http://arxiv.org/abs/2205.01804
Autor:
Robbins, Michael W.1 (AUTHOR) mrobbins@rand.org, Treyger, Elina1 (AUTHOR) etreyger@rand.org, Chang, Joseph C.1 (AUTHOR) jchang@rand.org
Publikováno v:
Journal of Homeland Security & Emergency Management. Sep2024, p1. 38p. 11 Illustrations.
Publikováno v:
Foreign Affairs. Jul/Aug2024, Vol. 103 Issue 4, p39-49. 11p.
Autor:
Robbins, Michael W.
Imputation of data with general structures (e.g., data with continuous, binary, unordered categorical, and ordinal variables) is commonly performed with fully conditional specification (FCS) instead of joint modeling. A key drawback of FCS is that it
Externí odkaz:
http://arxiv.org/abs/2008.02243
Akademický článek
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Autor:
Aghaee, Mahya, Ledzewicz, Urszula, Robbins, Michael, Bezman, Natalie, Jay Cho, Hearn, Moore, Helen
Publikováno v:
In European Journal of Pharmaceutical Sciences 1 August 2023 187
Blending of Probability and Non-Probability Samples: Applications to a Survey of Military Caregivers
Probability samples are the preferred method for providing inferences that are generalizable to a larger population. However, when a small (or rare) subpopulation is the group of interest, this approach is unlikely to yield a sample size large enough
Externí odkaz:
http://arxiv.org/abs/1908.04217
Akademický článek
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