A note on non‐parametric ANCOVA for covariate adjustment in randomized clinical trials
By Emmanuel Lesaffre, S. Senn. 2003
44 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Susan Athey
- Nathan Kallus
- Stefan Wager
- Guido W. Imbens
- Marie Davidian
- Xiaomin Lu
- Anastasios A. Tsiatis
- Peng Ding
Citations in the corpus
- The Econometrics of Randomized Experiments (2016, background): “See for additional discussions Lesaffre and Senn (2003), Samii and Aronow (2012), Rosenbaum (2002), Lin (2013), Schochet (2010), Young (2016), Senn (1994).”
- On regression adjustments to experimental data (2008, background): “Persi Diaconis, Thad Dunning, Winston Lin, Stephen Senn, and Terry Speed made many useful comments.”
- Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach (2008, background): “Thus, via semiparametric theory, we are led directly to the result that β KOCH and β AN COV A2 are asymptotically equivalent; moreover, as observed by Lesaffre and Senn [4], when n 0 = n 1 (approximately δ = 0.5), β KOCH is approximately equivalent to the usual ANCOVA estimator β AN COV A1 .”