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M Elizabeth Halloran

Showing results (61-70 of 209) with videos related to

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Statistics in Medicine|July 22, 2015
A Bayesian approach to estimating causal vaccine effects on binary post-infection outcomesJincheng Zhou, Haitao Chu, Michael G Hudgens, et al.
American Journal of Epidemiology|March 23, 2004
Containing pandemic influenza with antiviral agentsIra M Longini, M Elizabeth Halloran, Azhar Nizam, et al.
The Annals of Applied Statistics|January 27, 2009
A Bayesian Framework for Estimating Vaccine Efficacy per Infectious ContactYang Yang, Peter Gilbert, Ira M Longini, et al.
Biometrics|April 18, 2012
A hybrid EM and Monte Carlo EM algorithm and its application to analysis of transmission of infectious diseasesYang Yang, Ira M Longini, M Elizabeth Halloran, et al.
Epidemics|December 1, 2015
One versus two doses: What is the best use of vaccine in an influenza pandemic?Laura Matrajt, Tom Britton, M Elizabeth Halloran, et al.
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|January 27, 2015
Interference and Sensitivity AnalysisTyler J VanderWeele, Eric J Tchetgen Tchetgen, M Elizabeth Halloran
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|July 15, 2026
Using case description information to reduce sensitivity to bias for the attributable fraction among the exposedKan Chen, Jing Cheng, M Elizabeth Halloran, et al.
Vaccine|September 6, 2002
Community interventions and the epidemic prevention potentialM Elizabeth Halloran, Ira M Longini, David M Cowart, et al.
American Journal of Epidemiology|November 1, 2008
Estimating influenza vaccine efficacy from challenge and community-based study dataNicole E Basta, M Elizabeth Halloran, Laura Matrajt, et al.
Biostatistics (Oxford, England)|March 25, 2006
On estimation of vaccine efficacy using validation samples with selection biasDaniel O Scharfstein, M Elizabeth Halloran, Haitao Chu, et al.
Pageof 21

Showing results (61-70 of 209) with videos related to

Sort By:
Pageof 21
Statistics in Medicine|July 22, 2015
A Bayesian approach to estimating causal vaccine effects on binary post-infection outcomesJincheng Zhou, Haitao Chu, Michael G Hudgens, et al.
American Journal of Epidemiology|March 23, 2004
Containing pandemic influenza with antiviral agentsIra M Longini, M Elizabeth Halloran, Azhar Nizam, et al.
The Annals of Applied Statistics|January 27, 2009
A Bayesian Framework for Estimating Vaccine Efficacy per Infectious ContactYang Yang, Peter Gilbert, Ira M Longini, et al.
Biometrics|April 18, 2012
A hybrid EM and Monte Carlo EM algorithm and its application to analysis of transmission of infectious diseasesYang Yang, Ira M Longini, M Elizabeth Halloran, et al.
Epidemics|December 1, 2015
One versus two doses: What is the best use of vaccine in an influenza pandemic?Laura Matrajt, Tom Britton, M Elizabeth Halloran, et al.
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|January 27, 2015
Interference and Sensitivity AnalysisTyler J VanderWeele, Eric J Tchetgen Tchetgen, M Elizabeth Halloran
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|July 15, 2026
Using case description information to reduce sensitivity to bias for the attributable fraction among the exposedKan Chen, Jing Cheng, M Elizabeth Halloran, et al.
Vaccine|September 6, 2002
Community interventions and the epidemic prevention potentialM Elizabeth Halloran, Ira M Longini, David M Cowart, et al.
American Journal of Epidemiology|November 1, 2008
Estimating influenza vaccine efficacy from challenge and community-based study dataNicole E Basta, M Elizabeth Halloran, Laura Matrajt, et al.
Biostatistics (Oxford, England)|March 25, 2006
On estimation of vaccine efficacy using validation samples with selection biasDaniel O Scharfstein, M Elizabeth Halloran, Haitao Chu, et al.
Pageof 21