Analysis of randomized comparative clinical trial data for personalized treatment selections.
By Tianxi Cai, Lu Tian, Peggy H. Wong, Lee-Jen Wei. 2011
276 citations recorded by the source corpus.
Subfields: Infectious Diseases, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Infectious Diseases
In Statistics and Probability
- Cynthia Rudin
- Xuming He
- Juan Shen
- Jared C. Foster
- Fulton Wang
- Berk Ustun
- Ying Wei
- Damian W. Betebenner
Citations in the corpus
- Causal Falling Rule Lists (2015, background): “…of differential treatment effect has been of recent interest in social science, medical, and marketing domains (Brodersen et al. 2015; Sun et al. 2014; Cai et al. 2011; Foster, Taylor, and Ruberg 2011; Taddy et al. 2014), precisely so that the relevant subgroups can be given priority treatment.”
- Subgroup Identification and Variable Selection from Randomized Clinical Trial Data. (2013, methodology): “…treatment which is best for them [Friedman and Fisher, 1999, Negassa et al., 2005, Gunter et al., 2007, Su et al., 2008, 2009, Brinkley et al., 2010, Cai et al., 2011, Foster et al., 2011, Janes et al., 2011, Lipkovich et al., 2011, Qian and Murphy, 2011, Zhao et al., 2011, Imai and Ratkovic,…”
- Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model (2015, background): “Cai et al. (2011) and Zhao et al. (2013) suggested a parametric scoring system based on multiple covariates to help assign new patients to treatments.”