Dear all,
        a summary of the replies I received with regard to dealing with missing data:

1) Statistical Analysis With Missing Data, 2nd Edition by Roderick J. A.
Little, Donald B. Rubin. Publisher: Wiley

2) Multiple Imputation for Nonresponse in Surveys, Donald B. Rubin.
Publisher: Wiley.

3) Carpenter, J.R., Pocock, S. J. and Lamm, C. (2002) Coping with missing
data in clinical
trials; a model based approach applied to asthma trials. Statistics in
medicine 21, 1043--1066.

4) Multiple imputation: a primer by Schafer J. L.Statistical Methods in
Medical Research (1999), vol. 8 pages3-15.

5) Analysis of Experiments with Missing Data (1985) by Dodge, Y. Publisher:
John Wiley and Sons, New York.
(thought to be out of print)

6) Analysis of Incomplete Multivariate Data by JLSchafer. Publisher: CRC Press

7) Intention-to-treat approach to data from randomized controlled trials: A
sensitivity analysis C.C. Wright, J Sim. Journal of Clinical Epidemiology
56 (2003) 833-842.
(Good for further references)

8) Handling missing data in clinical trials: an overview.  WR Myers.  Drug
information journal. 2000; 34: p525-533

9) Xiaolu Huang and Qiuming Zhu, A pseudo nearest-neighbor approach for missing
data recovery on Gaussian random data sets, Pattern Recognition Letters, In
Press, Uncorrected Proof, Available online 29 April 2002, .

10) Jos Twisk and Wieke de Vente, Attrition in longitudinal studies; How to
deal
with missing data, Journal of Clinical Epidemiology, Volume 55, Issue 4,
April 2002, Pages 329-337.

11) Jeremy M.G. Taylor, Susan Murray and Chiu-Hsieh Hsu, Survival
estimation and
testing via multiple imputation, Statistics & Probability Letters, In Press,
Uncorrected Proof, Available online 4 March 2002, .

12) Man-Suk Oh, Dong Wan Shin and Han Joon Kim, Bayesian analysis of regression
models with spatially correlated errors and missing observations,
Computational Statistics & Data Analysis, In Press, Uncorrected Proof,
Available online 19 October 2001, .

13) P. Ho, M. C. M. Silva and T. A. Hogg, Multiple imputation and maximum
likelihood principal component analysis of incomplete multivariate data from
a study of the ageing of port, Chemometrics and Intelligent Laboratory
Systems, Volume 55, Issues 1-2, 13 January 2001, Pages 1-11.

14) Kamalaldin Morad, William Y. Svrcek and Ian McKay, Probability density
estimation using incomplete data, ISA Transactions, Volume 39, Issue 4,
September 2000, Pages 379-399.

15) A. C. Atkinson and Tsung-Chi Cheng, On robust linear regression with
incomplete data, Computational Statistics & Data Analysis, Volume 33, Issue
4, 28 June 2000, Pages 361-380.

16) K. C. Carriere, Methods for repeated measures data analysis with missing
values, Journal of Statistical Planning and Inference, Volume 77, Issue 2, 1
March 1999, Pages 221-236.

17) Joseph E. Cavanaugh and Robert H. Shumway, An Akaike information criterion
for model selection in the presence of incomplete data, Journal of
Statistical Planning and Inference, Volume 67, Issue 1, 16 March 1998, Pages
45-65.


with grateful thanks to the following for their replies:

Isaac Dialsingh
Stephen Senn
Dimitris N Lambrou
Julius Sim
Jamal Ameen
Ly-Mee Yu
James Carpenter

Mark

Mark A S Griffin
Lecturer in Medical Statistics
Royal Free & University College Medical School
Department of Primary Care & Population Sciences
Level 2
Archway Campus
Holborn Union Building
Highgate Hill
London N19 5LW

Tel: 020 7288 3471
Fax: 020 7288 8004
e-mail: [log in to unmask]