Book Review: Andrew Gelman and Xiao-Li Meng,eds. (2004). Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family,Wiley Series in Probability and Statistics . New York: John Wiley

Restricted accessReview articleFirst published online August, 2007

Book Review: Andrew Gelman and Xiao-Li Meng,eds. (2004). Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family,Wiley Series in Probability and Statistics . New York: John Wiley

Volume 36, Issue 1https://doi.org/10.1177/0049124107299429

Abstract

Get full access to this article

View all access options for this article.

References

Allison, Paul D. and Robert M. Hauser . 1991. `` Reducing Bias in Estimates of Linear Models by Remeasurement of a Random Subsample .'' Sociological Methods and Research 19(4): 466-92 .

Heckman, James J. 2005. `` Rejoinder: Response to Sobel .'' Sociological Methodology 35(1): 135-62 .

Holland, Paul W. 1986. `` Statistics and Causal Inference .'' Journal of the American Statistical Association 81(396): 945-62 .

Smith, Herbert L. 1990. ``Specification Problems in Experimental and Nonexperimental Social Research.'' Pp. 59-91 in Sociological Methodology 1990, edited by C. C. Clogg. Oxford , UK: Basil Blackwell .