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  • Search: person:"Zhu, Yiliang"
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Zhu, Yiliang 4 Coreil, Jeannine 1 Das, Tapas 1 Jelsovsky, Jennyz H. 1 Lauzardo, Michael 1 Mayard, Gladys 1 Reid, Nancy 1 Savachkin, Alex 1 Simpson, Kelly M. 1 Wang, Tao 1 Weiss, Mitchell 1
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IIE transactions / Institute of Industrial Engineers, Norcross, Ga : industrial engineering and development 1 Risk analysis : an international journal 1 Social Science & Medicine 1 Statistics & Probability Letters 1
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OLC EcoSci 2 RePEc 2
Showing 1 - 4 of 4
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Structural forces and the production of TB-related stigma among Haitians in two contexts
Coreil, Jeannine; Mayard, Gladys; Simpson, Kelly M.; … - In: Social Science & Medicine 71 (2010) 8, pp. 1409-1417
In recent years renewed interest in health-related stigma has underscored the importance of better understanding the structural underpinnings of stigma processes. This study investigated the influence of sociocultural context on perceived components of tuberculosis-related stigma in non-affected...
Persistent link: https://www.econbiz.de/10008870189
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A large-scale simulation model of pandemic influenza outbreaks for development of dynamic mitigation strategies
Das, Tapas; Savachkin, Alex; Zhu, Yiliang - In: IIE transactions / Institute of Industrial Engineers, … 40 (2008) 9, pp. 893
Persistent link: https://www.econbiz.de/10008080275
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Bootstrap Estimation of Benchmark Doses and Confidence Limits with Clustered Quantal Data
Zhu, Yiliang; Wang, Tao; Jelsovsky, Jennyz H. - In: Risk analysis : an international journal 27 (2007) 2, pp. 447-466
Persistent link: https://www.econbiz.de/10007735628
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Efficient likelihood ratio tests under P-ancillarity and P-sufficiency
Zhu, Yiliang; Reid, Nancy - In: Statistics & Probability Letters 29 (1996) 3, pp. 213-221
A local power bound is obtained for asymptotic level-[alpha] tests in the presence of infinitely many nuisance parameters. Likelihood ratio tests, conditioning on P-ancillary statistics or based on marginal P-sufficient statistics, attain this power bound, and are thus locally most powerful...
Persistent link: https://www.econbiz.de/10005254762
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