Jianing Wang
Jianing Wang
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Multivariate Outcomes
Modeling recurrent relapse and remitting episodes during MOUD treatment: a tutorial
Working Paper abstract In longitudinal studies participants can often experience the outcome(s) of interest multiple times during the observation period, creating recurrent event data. Depending on the primary research objective, advanced statistical methods are required to correctly analyze this special type of data.
Jianing Wang
,
Stavroula A. Chrysanthopoulou
,
Shayla Nolen
,
R. W. M. A. Madushani
,
Sean M. Murphy
,
Benjamin P. Linas
,
Laura F. White
Meta-Modelling for Policy Simulations with Multivariate Outcomes
abstract Purpose: A metamodel is a simplified approximation of the relationships between inputs and outputs in a simulation model. A challenge in metamodeling for policy analysis is that there are often multiple correlated outputs of interest: for example, costs and effects of different policy choices.
Huaiyang Zhong
,
Golnaz Eftekhari Yazdi
,
Jianing Wang
,
Shayla Nolen
,
Benjamin P Linas
,
Margaret L Brandeau
,
Joshua Salomon
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