History-Adjusted Marginal Structural Models and Statically-Optimal Dynamic Treatment Regimens
By M. J. van der Laan, M. Petersen, M. Joffe. 2005
86 citations recorded by the source corpus.
Subfields: Statistics and Probability
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In Statistics and Probability
- D. Almirall
- Jared C. Foster
- Susan A. Murphy
- Eric B. Laber
- Michael R. Kosorok
- Nathan Kallus
- Donglin Zeng
- Ying‐Qi Zhao
Citations in the corpus
- The International Journal of Biostatistics (2017, unknown): “In van der Laan et al. (2005) history adjusted marginal structural models were proposed as a natural extension of marginal structural models, and it was shown that the latter also imply an individualized treatment rule of interest (a so called history adjusted statically optimal treatment regimen):…”
- Subgroup Identification and Variable Selection from Randomized Clinical Trial Data. (2013, background): “A number of authors, including Murphy [2002], Lavori and Dawson [2004], Robins [2004], Laan and Petersen [2004], Murphy [2005], Laber et al. [2010], and Shortreed et al.”
- Dynamic treatment regimes (2009, background): “Instead of estimating the optimal dynamic treatment regimes, van der Laan and his colleagues (van der Laan et al. 2005; Petersen et al. 2007; van der Laan and Petersen 2007) aimed at ascertaining a " statically " optimal dynamic treatment regime.”
- Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. (2016, unknown): “The second strategy requires emulating multiple nested trials, each of them with a different start of follow-up (31 – 33).”