Getting Started:
Analyzing Data with Missing Values

 

Department of Statistics

The Methodology Center

Penn State

    Allison, P.D. (2002) Missing Data. Thousand Oaks, CA: Sage.

Collins, L.M., Schafer, J.L. and Kam, C.M. (2001) A comparison of inclusive and restrictive missing-data strategies in modern missing-data procedures.  Psychological Methods, 6, 330-351

Heitjan, D.F. and Rubin, D.B. (1991). Ignorability and coarse data. Annals of Statistics, 19, 2244-2253.

Little, R.J.A. and Rubin, D.B. (2002) Statistical Analysis with Missing Data, 2nd edition. New York: Wiley.

Rubin, D.B. (1976) Inference and missing data.  Biometrika, 63, 581-592.

Rubin, D.B. (1987) Multiple imputation for nonresponse in surveys. New York: Wiley,

Rubin, D.B., Stern, H.S and Vehovar, V. (1995) Handling "don't know" survey responses: the case of the Slovenian plebiscite. Journal of the American Statistical Association,  90, 822-828.

Schafer, J.L. (1997) Analysis of incomplete multivariate data. London: Chapman and Hall/CRC Press.

Schafer, J.L. and Graham, J.W. (2002) Missing data: our view of the state of the art.  Psychological Methods, 7, 147-177

Revised: 01/12/06.