Augmented designs to assess principal strata direct effects

By Alessandra Mattei, Fabrizia Mealli. 2011

50 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/bad6ca275e4e67caf870223fb68689ed94c35807

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Alfonso Flores-Lagunes
2. Peng Ding
3. Zhi Geng
4. Jiannan Lu
5. Zhichao Jiang

In Statistics and Probability

1. Carlos A Flores
2. Alfonso Flores-Lagunes
3. Peng Ding
4. Zhi Geng
5. Jiannan Lu
6. Zhichao Jiang
7. Ryo Okui
8. Xinran Li

Citations in the corpus

• Principal stratification analysis using principal scores (2016, methodology): “phase III trial (protocol 99-16) to compare the treatment of docetaxel and estramustine (DE) with mitoxantrone and prednisone (MP) in patients with metastatic, androgen-independent prostate cancer (Petrylak et al., 2004). A total of 674 eligible patients participated in the study between October 199”
• Partial Identification of Local Average Treatment Effects With an Invalid Instrument (2013, background): “For further discussion on these topics see, for example, Frangakis and Rubin (2002), Rubin (2004), Mattei and Mealli (2011), Pearl (2011), and Mealli and Mattei (2012).”
• Principal causal effect identification and surrogate end point evaluation by multiple trials (2015, methodology): “…response indicators are used to address non-ignorable non-response problems (Frangakis and Rubin, 1999; Mealli and Pacini, 2008; Mattei et al., 2014), and the potential intermediate variables are used to define direct and indirect effects (Rubin, 2004; Gallop et al., 2009; Mattei and Mealli, 2011).”