Global sensitivity analysis for repeated measures studies with informative drop‐out: A semi‐parametric approach
By D. Scharfstein, Aidan McDermott, Iv'an D'iaz, Marco Carone, Nicola Lunardon, I. Turkoz. 2018
25 citations recorded by the source corpus.
Subfields: Statistics and Probability
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In Statistics and Probability
- Ioana Bica
- Mihaela van der Schaar
- Ahmed M. Alaa
- James Jordon
- Craig Lambert
- Adarsh Subbaswamy
- Suchi Saria
Citations in the corpus
- Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders (2019, background): “Sensitivity analysis methods that evaluate the potential impact that an unmeasured confounder could have on the estimation of treatment effects have also been developed (Robins et al., 2000b; Roy et al., 2016; Scharfstein et al., 2018).”