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Itmle: An R package implementing targeted minimum loss-based estimation for longitudinal data
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نویسنده
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lendle s.d. ,schwab j. ,petersen m.l. ,van der laan m.j.
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منبع
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journal of statistical software - 2017 - دوره : 81 - شماره : 0
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چکیده
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In recent years,targeted minimum loss-based estimation methodology has been used to develop estimators of parameters in longitudinal data structures (gruber and van der laan 2012; petersen,schwab,gruber,blaser,schomaker,and van der laan 2014; schnitzer,moodie,van der laan,platt,and klein 2013). these methods are implemented in the ltmle package for r. the ltmle package provides methods to estimate intervention-specific means and measures of association including the average treatment effect,causal odds ratio and causal risk ratio and parameters of a longitudinal working marginal structural model. the package allows for multiple time point treatments,time-varying covariates and right censoring of the outcome. in this paper we described the usage of the ltmle package and provide examples. © 2017,american statistical association. all rights reserved.
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کلیدواژه
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Causal inference; Estimation; Longitudinal data; R; Targeted minimum loss-based estimation
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آدرس
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university of california,berkeley,united states,group in biostatistics university of california,berkeley,ca 94720, United States, university of california,berkeley, United States, university of california,berkeley, United States, university of california,berkeley, United States
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Authors
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