Zobrazeno 1 - 10
of 832
pro vyhledávání: '"Halloran, M Elizabeth"'
Autor:
Lee, TingFang, Buchanan, Ashley L., Katenka, Natallia, Forastiere, Laura, Halloran, M. Elizabeth, Nikolopoulos, Georgios
Estimating causal effects in the presence of spillover among individuals embedded within a social network is often challenging with missing information. The spillover effect is the effect of an intervention if a participant is not exposed to the inte
Externí odkaz:
http://arxiv.org/abs/2304.09361
The attributable fraction among the exposed (\textbf{AF}$_e$), also known as the attributable risk or excess fraction among the exposed, is the proportion of disease cases among the exposed that could be avoided by eliminating the exposure. Understan
Externí odkaz:
http://arxiv.org/abs/2209.00781
Autor:
Lee, TingFang, Buchanan, Ashley L., Katenka, Natallia V., Forastiere, Laura, Halloran, M. Elizabeth, Friedman, Samuel R., Nikolopoulos, Georgios
Evaluating causal effects in the presence of interference is challenging in network-based studies of hard-to-reach populations. Like many such populations, people who inject drugs (PWID) are embedded in social networks and often exert influence on ot
Externí odkaz:
http://arxiv.org/abs/2108.04865
Autor:
Potter, Gail E., Carnegie, Nicole Bohme, Sugimoto, Jonathan D., Diallo, Aldiouma, Victor, John C., Neuzil, Kathleen, Halloran, M. Elizabeth
This study estimates the overall effect of two influenza vaccination programs consecutively administered in a cluster-randomized trial in western Senegal over the course of two influenza seasons from 2009-2011. We apply cutting-edge methodology combi
Externí odkaz:
http://arxiv.org/abs/2006.13455
Autor:
Mistry, Dina, Litvinova, Maria, Piontti, Ana Pastore y, Chinazzi, Matteo, Fumanelli, Laura, Gomes, Marcelo F. C., Haque, Syed A., Liu, Quan-Hui, Mu, Kunpeng, Xiong, Xinyue, Halloran, M. Elizabeth, Longini Jr., Ira M., Merler, Stefano, Ajelli, Marco, Vespignani, Alessandro
Mathematical and computational modeling approaches are increasingly used as quantitative tools in the analysis and forecasting of infectious disease epidemics. The growing need for realism in addressing complex public health questions is however call
Externí odkaz:
http://arxiv.org/abs/2003.01214
Cluster-randomized trials are often conducted to assess vaccine effects. Defining estimands of interest before conducting a trial is integral to the alignment between a study's objectives and the data to be collected and analyzed. This paper consider
Externí odkaz:
http://arxiv.org/abs/1910.03675
Autor:
Chakladar, Sujatro, Hudgens, Michael G., Halloran, M. Elizabeth, Clemens, John D., Ali, Mohammad, Emch, Michael E.
Estimating population-level effects of a vaccine is challenging because there may be interference, i.e., the outcome of one individual may depend on the vaccination status of another individual. Partial interference occurs when individuals can be par
Externí odkaz:
http://arxiv.org/abs/1910.03536
Publikováno v:
In Epidemics September 2023 44
Publikováno v:
BMC Medical Research Methodology; 7/16/2024, Vol. 24 Issue 1, p1-12, 12p