… Rubin DB. Assessing the fit of logistic regressions using the implied discriminant analysis.
Discussion of “Graphical Methods for Assessing Logistic Regression Models” by Landwehr, …

… D and can be used exactly as if it were D. This new procedure is due to Meng and Rubin.I2 …
methods; also see Rubin and S~henker,'~ Treiman, Bielby, and Cheng," and Clogg, …

… of the work of Rubin (70), which focuses on the teaching of causal inference in departments
of statistics and economics; a textbook on this topic is forthcoming (GW Imbens & DB Rubin, …

… Each collection Yt includes the same d aspects of experimental units, a particular column
in Yt referring for example to postoperative blood pressure, or doctor's assessment of …

… and inference for causal effects from this perspective is Imbens and Rubin (2006). … and
Rubin, D. 2003. A principal stratification approach to broken randomized experiments: a case …

… In the following comments, a notation close to that of Dr Rubin's paper is used. Thus U = (%,...,
uj denotes the full data, with density/(u; 6) (6e fle) and M = (m^,...,mn) indicates the …

… (see Frangakis and Rubin 2002; Rubin 2004; and the … We are in the position unusual
for critics of insisting that Rubin’… to observational studies (Rubin 1984a), I pointed out that …

… Following Holland (1986), we refer to the general potential outcomes approach taken in
this book as the Rubin Causal Model, although it has precursors in the work by Neyman (1923). …

… in chapter 3 in Rubin (1987) under the Bayesian paradigm for survey inference (introduced
in chap. 2 of Rubin 1987), assuming that the multiple imputations are repeated imputations. …

… The right of Roderick JA Little and Donald B Rubin to be identified as the authors of the …
, which is in fact similar to the notation employed by Rubin’s original (1976a) paper. We have …