Software for a class of response selective and missing data problems
This software is in the form of an R package that we are currently calling "missreg"
See:
The computational methods are based on
- Scott, A.J. and Wild, C.J., “Calculating efficient semiparametric estimators for a broad class of missing-data problems,” In Festschrift for Tarmo Pukkila on his 60th Birthday. E. P. Liski, J. Isotalo, J. Niemelä, S. Puntanen, and G. P. H. Styan (Eds), Dept. of Mathematics, Statistics and Philosophy, Univ. of Tampere, ISBN 978-951-44-6620-5, 301-314, 2006.
implements the maximum likelihood methods described in
- Lee, A.J, Scott, A.J. and Wild, C.J., “Fitting binary regression models with case-augmented samples”, Biometrika, 93, 385–397, 2006.
- Neuhaus, J., Scott, A.J. and Wild, C.J., “Family-specific approaches to the analysis of retrospective family data", Biometrics, 62, 488-494, 2006.
- Jiang, Y., Scott, A.J. and Wild, C.J., “Secondary analyses of case-control sampled data”, Statistics in Medicine, 25, 1323-1339, 2006.
- Neuhaus, J., Scott, A.J. and Wild, C.J., "The Analysis of Retrospective Family Studies ",
Biometrika, 89, 23-37, 2002.
- Scott, A.J. and Wild, C.J., "Maximum likelihood for generalised case-control studies",
Journal of Statistical Planning and Inference, 96, 3-27, 2001.
- Lawless, J.F., Wild, C.J., and Kalbfleisch, J.D "Estimation for Response-selective and
Missing Data Problems in Regression", Journal of the Royal Statistical Society, Series B, 61,
413-438, 1999.
- Scott, A.J. and Wild, C.J., "Maximum Likelihood Estimation for Case-Control Data",
Biometrika, 84, 57-71, 1997.