References. BEAUMONT, J.F., An estimation method for nonignorable nonresponse, Survey Methodology, 26, , 2000.

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1 References ANDERSON, C., NORBERG, L., A method for variance estimation of non-linear function of totals in surveys-theory and implementation, Journal of Official Statistics, ,1994. BEAUMONT, J.F., An estimation method for nonignorable nonresponse, Survey Methodology, 26, , BANKIER, M., LUC, M., NADEAU, C., NEWCOMBE, P., Imputing numeric and qualitative census variables simultaneously, Proceedings of the Survey Research Methods Section, 90-99,1996. BINDER, D.A. A framework for analyzing categorical survey data with nonresponse, Journal of Official Statistics, 7, , BINDER, D.A., SUN, W., Frequency valid multiple imputation for surveys with a complex design, Proceedings of the Section on Survey Research Methods, American Statistical Association, , BURNS, E. M., Multiple and replicate item imputation in a complex sample survey, Proceedings of the Sixth Annual Research Conference, U. S. Bureau of the Census , BRICK, J. M., KALTON, G., Handling missing data in survey research, Stat. Math. In Med. Res., 5, , CASELLA, G., EDWARD G.I., Explaining the Gibbs Sampler, The American Statistician, 46, 3 CARON, N., Les principales techniques de correction de la non-réponse, et les modèles associés, Document de travail, Méthodologie statistique, INSEE, 9604, CHEN, Y., Balanced repeated replication variance estimators for survey data under imputation, unpublished Ph. D. thesis, University of Ottawa, Department of Mathematics and Statistics, CHEN, J., SHAO, J., Nearest-neighbour imputation for survey data, Journal of Official Statistics, 16, , CHEN, J., SHAO, J., Jackknife variance estimation for nearest-neighbor imputation, Journal of the American Statistical Association, 96, , 2001.

2 COTTON, C., Generalised Edit and Imputation System functional description, Statistics Canada, DALENIUS, T., Some refections on the problem of missing data In: W. G. Madow and I. Olkin (eds.), Incomplete Data in Sample Surveys, vol. 3 New York: Academic Press, DEVILLE, J.-C., SÄRNDAL, C.-E., Estimation de la variance en présence de données imputées, proceedings of Invited Papers for the 48th Session of the International Statistical Institute, Book 2, Subject 17, 3e17, DEVILLE, J.-C., SÄRNDAL, C.-E., Variance estimation for the regression imputed Horvitz- Thompson estimator, Journal of Official Statistics, 10, , DROESBEKE, J.-J., LAVALLÉE, P., La non-réponse dans les enquêtes, Méthodologica, 4, ELTINGE, J. L., YANSANEH, I.S., Diagnostics for formation of nonresponse adjustment cells, with an application to income nonresponse in the U. S. Consumer Expenditure Survey, Survey Methodology, vol. 23, 33-40, ESTEVAO, V., HIDIROGLOU, M.A., SÄRNDAL, C.-E., Methodological principles for a generalized estimation system at Statistics Canada, Journal of Official Statistics, 11, , FELLEGI, I.P., HOLT, D., A systematic approach to automatic edit and imputation, Journal of the American Statistical Association, 71, 17-35, FAY, R. E., A design-based perspective on missing data variance, Proceedings of the 1991 Annual Research Conference, U. S. Bureau of the Census, , FAY, R. E., Alternative paradigms for the analysis of imputed survey data, Journal of the American Statistical Association,. 91, , FORD, B. M., An overview of hot-deck procedures In: W. G. Madow and I. Olkin (eds.), Incomplete Data in Sample Surveys, vol. 2 New York: Academic Press, FRIEDMAN, L.M., FURBERG, C.D., DeMETS, D.L., Fundementals of Clinical Trials, Springer, New York, 1998 GAGNON, F., LEE, H., RANCOURT, E., SÄRNDAL, C.-E., Estimating the variance of the Generalized regression estimator in the presence of imputation for the Generalized Estimation System, Proceedings of the Survey Methods Section, Statistical Society of Canada, , June 1996.

3 GAGNON, F., LEE, H., PROVOST, M., RANCOURT, E., SÄRNDAL, C.-E., Estimation of the variance in presence of imputation, Proceedings of Symposium 97 : New Directions in Surveys and Censuses, , Statistics Canada, Ottawa, November GELFAND, A.E., SMITH, A.F.M., Sampling based approach to calculating marginal densities, Journal of the American Statistical Association, 85, , GILKS, W.R, CLAYTON, D.G., et al. Modelling Compelexity: Applications of Gibbs Sampling in Medicine, Journal of the Royal Statistical Society, 55, 1, 39-52, GROSS, S., Median estimation in sample surveys, Proceedings of the Section on Survey Research Methods, American Statistical Association, , GROVES, R. and COOPER, M. Nonresponse in Household Surveys, John Wiley and Sons, HANSEN, M.H., HURWITZ, W.N., The problem of nonresponse in sample surveys, Journal of the American Statistical Association, 41, , HAZIZA, D., CHARBONNIER, C., CHOW, O., BEAUMONT, J.-F. Cpnstruction of imputation cells in the context of the Canadian Labour Force Survey, Proceedings of Statistics Canada s Symposium 2001: Achieving Data Quality in a Statistical Agency - A Methodological Perspective, to appear, HAZIZA, D., RAO, J.N.K., Inference for regression coefficient under imputation for missing data, Proceedings of the Survey Methods Section, Statistical Society of Canada, to appear, HAZIZA, D., RAO, J.N.K., Model-assisted approach to inference for totals under imputation for missing data, Proceedings of the Survey Methods Section, American Statistical Association, HAZIZA, D., RAO, J.N.K., Inference for population means under unweighted imputation for missing survey data, submitted, HANSEN, M.H., HURWITZ, W.N., The problem of nonresponse in sample surveys, Journal of the American Statistical Association, 41, , HEERINGA, S.G., LEPKOWSKI, J.M. Longitudinal imputation for the SIPP, Proceedings of the Section on Survey Research Methods, American Statistical Association, , HIDIROGLOU, M.A., DREW, J.D., GRAY, G.B., A framework for measuring and reducing nonresponse in surveys, Survey Methodology, 19, 81-94, 1993 HU, M., SALVUCCI, S.M., COHEN, M.P., Evaluation of some popular imputation algorithms, Proceedings of the Section on Survey Research Methods, American Statistical Association, to appear, JUDKINS, D.R., Imputing for Swiss cheese patterns of missing data, Proceedings of Statistics Canada Symposium 97, New Directions in Surveys and Censuses, , 1999.

4 KALTON, G., Handling wave nonresponse in panel surveys, Journal of Official Statistics, 2, , KALTON, G., KASPRZYK, D., The treatment of missing survey data, Survey Methodology, 12, 1-16, KALTON, G., KISH, L., Some efficient random imputation methods, Communications in Statistics, 13, , KOTT, P. S., A paradox of multiple imputation, Proceedings of the Section on Survey Research Methods, American Statistical Association, , KOVAR, J.G., CHEN, E., Jackknife variance estimation of imputed survey data, Survey Methodology, 20, 45-52, KOVAR, J.G., WHITRIDGE, P.J., Imputation of business survey data, Business Survey Methods, Cox, B.G., Binder, D.A., Chinnappa, B.N., Christianson, A., Colledge, M.J. and Kott, P.S. (ed.), , New York: John Wiley and Sons, KRENZKE, T., MOHADJER, L., MONTEQUILA, J., Generalizing the imputation error variance in the alcohol and drug services study, Proceedings of the Section on Survey Research Methods, American Statistical Association, , LAIRD, N.M. Missing data in longitudinal studies, Statistics In Medicine, 7, , 1988 LEE, H., RANCOURT, E., SÄRNDAL, C.-E., Experiment with variance estimation from survey data with imputed values, Journal of Official Statistics, 10, , LEE, H., RANCOURT, E., SÄRNDAL, C.-E., Jackknife variance estimation for data with imputed Values, Proceedings of the Survey Methods Section, , Statistical Society of Canada, July LEE, H., RANCOURT, E., SÄRNDAL, C.-E., Variance estimation in the presence of imputed data for the Generalized Estimation System, Proceedings of the Section on Survey Research Methods, American Statistical Association, , August LEE, H., RANCOURT, E., SÄRNDAL, C.-E., Variance estimation from survey data under single value imputation, In: Survey Nonresponse, Groves, R., Dillman, D., Eltinge, J. and Little, R.J.A. (eds), John Wiley, , LI, K.H., Imputation using Markov Chains. Journal of Statistical Compuatioan and Simulation, 30, 57-79, 1988 LITTLE, R.J.A., Models for nonresponse in sample surveys. Journal of the American Statistical Association, 77, , 1982.

5 LITTLE, R.J.A., Survey nonresponse adjustments for estimates of means. International Statistical Review, 54, , LITTLE, R.J.A., RUBIN, D.B. Statistical analysis with missing data. New York, John Wiley and Sons MONTEQUILA, J. M., JERNIGAN, R. W., Variance estimation in the presence of imputed data, Proceedings of the Section on Survey Research Methods, American Statistical Association, ,1997. OH, H.L., SCHEUREN, F.J., Weighting adjustment for unit nonresponse, in Incomplete Data in Sample Surveys, vol. 2, ed. : W.G. Madow, I. Olkin and D.B. Rubin, New York : Academic Press, , OUTRATA, E., CHINNAPPA, B.N., General survey functions design at Statistics Canada, Bulletin of the International Statistical Institute, 53 : 2, , PANEL ON INCOMPLETE DATA, Incomplete Data in Sample Surveys, 3 volumes, Academic Press, PROVOST, M., Estimation de la variance dans les sondages utilisant l imputation hot-deck. Master s thesis, Université de Montréal, PIANTADOSI, S, Clinical Trials, Wiley, New York, 1997 QIN, J., LEUNG, D., SHAO, J., Estimation with survey data under nonignorable nonresponse or informative sampling. Journal of the American Statistical Association, 97, , RANCOURT, E., Issues in the combined use of Statistics Canada s Generalized Edit and Imputation System and Generalized Estimation System, Survey and Statistical Computing : Proceedings of The Second ASC International Conference, Association for Survey Computing, , September RANCOURT, E., Estimation de variance en présence d imputation par valeur précédente, Presented at the Colloque francophone sur les sondages, Rennes, June RANCOURT, E., Estimation de variance en présence d imputation : Où en sommes-nous?, presented at the Journées de méthodologie statistique, Paris, March RANCOURT, E., Estimation with nearest neighbour imputation at Statistics Canada, Proceedings of the Section on Survey Research Methods, American Statistical Association, , RANCOURT, E., Edit and Imputation: from suspicious to scientific techniques, manuscript, 2001.

6 RANCOURT, E., LEE, H., SÄRNDAL, C.-E., Variance estimation under more than one imputation method, Proceedings of the International Conference on Establishment Surveys, American Statistical Association, , June RANCOURT, E., LEE, H., SÄRNDAL, C.-E., Bias corrections for survey estimates from data with ratio imputed values for confounded nonresponse, Survey Methodology, 20, , RANCOURT, E., LEE, H., SÄRNDAL, C.-E., Estimation of the variance in the presence of nearest neighbour imputation, Proceedings of the Section on Survey Research Methods, American Statistical Association, , RAO, J.N.K., Variance estimation under imputation for missing data. Technical report, Statistics Canada, Ottawa, RAO, J.N.K., Linearization variance estimators under imputation for missing data. Technical report, Statistics Canada, Ottawa, RAO, J.N.K., On variance estimation with imputed survey data. Journal of the American Statistical Association, 91, , RAO, J.N.K., SHAO, J., Jackknife variance estimation with survey data under hot-deck imputation. Biometrika, 79, , RAO, J.N.K., SHAO, J., On balanced half-sample variance estimation in stratified sampling. Journal of the American Statistical Association, 91, , RAO, J.N.K., SITTER, R.R., Variance estimation under two-phase sampling with application to imputation for missing data, Biometrika, 82, , RAO, J.N.K., WU, C.F.J., Resampling inference with complex survey data, Journal of the American Statistical Association, 83, , ROBERT, C.P., CASELLA, Monte Carlo Statistical Methods, Spinger-Verlag, New York, 1999 RUBIN, D.B., Inference and missing data, Biometrika, 63, , RUBIN, D.B., Formalizing subjective notions about the effect of nonrespondents in sample surveys. Journal of the American Statistical Association, 77, , RUBIN, D.B., Multiple imputation in sample surveys - a phenomenological Bayesian approach to nonresponse. Proceedings of the Section on Survey Research Methods, American Statistical Association, 20-34, 1978.

7 RUBIN, D.B., Basic ideas of multiple imputation for nonresponse, Survey Methodology, 12, 37-47, RUBIN, D.B., Multiple imputation for nonresponse in surveys, New York: John Wiley and Sons, RUBIN, D.B., Multiple imputation after 18+ years, Journal of the American Statistical Association, vol. 91, , RUBIN, D.B., SCHENKER, N., Multiple imputation for interval estimation from simple random samples with ignorable nonresponses, Journal of the American Statistical Association, vol. 81, , RUST, K.F., RAO, J.N.K., Variance estimation for complex surveys using replication techniques, Statistical Methods in Medical Research, 5, , SANTOS, R., Effects of imputation on regression-coefficients, Proceedings of the Section on Survey Research Methods, American Statistical Association, , SÄRNDAL, C.-E., Methods for estimating the precision of survey estimates when imputation has been used, Proceedings of Symposium 90: Measurement and improvement of data quality, Statistics Canada, Ottawa, SÄRNDAL, C.-E., Methods for estimating the precision of survey estimates when imputation has been used, Survey Methodology, 18, , SÄRNDAL, C.-E., For a better understanding of imputation, Proceedings of the 6th Workshop on Household Survey Nonresponse, Helsinki, October SCHAFER, J.-L., Analysis of incomplete multivariate data. Chapman and Hall, London, SHAO, J., Replication Methods for variance estimation in complex surveys with imputed data, In: Survey Nonresponse, Groves, R., Dillman, D., Eltinge, J. and Little, R.J.A. (eds), John Wiley, , SHAO, J., CHEN, Y, CHEN, Y., Balanced repeated replication for stratified multistage survey data under imputation, Journal of the American Statistical Association, 93, , SHAO, J., SITTER, R.R., Bootstrap for imputed survey data, Journal of the American Statistical Association, 91, , SHAO, J., STEEL, P., Variance estimation for survey data with composite imputation and nonnegligible sampling fractions, Journal of the American Statistical Association, 94, , 1999.

8 SHAO, J., TU, D., The jackknife and the bootstrap, New York: Springer, SITTER, R.R., A resampling procedure for complex survey data, Journal of the American Statistical Association, 87, , SITTER, R.R., Comparing three bootstrap methods for survey data, Canadian Journal of Statistics, 20, , SITTER, R.R., RAO, J.N.K. Imputation for missing values and corresponding variance estimation, Canadian Journal of Statistics, 25, 61-73, SKINNER, C.J., RAO, J.N.K. Jackknife variance estimation for multivariate statistics under hotdeck imputation from common donors, Journal of Statistical Planning and Inference, , STATISTICS CANADA (2001). Standards and Guidelines for Reporting of Nonresponse Rates. Statistics Canada Technical Report. STEEL, P., FAY, R.E., Variance estimation for finite populations with imputed data, Proceedings of the Section on Survey Research Methods, American Statistical Association, , SWAIN, L., DOLSON, D., Current issues in household survey nonresponse at Statistics Canada, presented at the 8 th International Workshop on Household Survey Nonresponse, TANNER, M.A., WONG, W.H. The calculation of posterior distributions by data augmentation (with discussion), Journal of the American Statistical Association, 82, , TOLLEFSON, M., FULLER, W. A., Variance estimation for samples with random imputation, Proceedings of the Section on Survey Research Methods, American Statistical Association, , WANG, N., ROBINS, J.M. Large sample inference in parametric multiple imputation, Biometrika, 85, , WHITRIDGE, P., Encouraging response in agricultural surveys, Proceedings Symposium 96: Nonsampling errors, Statistics Canada, Ottawa, , WHITRIDGE, P., BUREAU, M. KOVAR, J. Mass Imputation at Statistics Canada, Proceedings of the Annual Research Conference, US Census Bureau, Washington, , WHITRIDGE, P., BUREAU, M. KOVAR, J. Use of Mass Imputation to Estimate for Subsample Variables, Proceedings of the Business and Economic Statistics Section, American Statistical Association, , 1990.

9 YUNG, W., RAO, J.N.K. Jackknife variance estimation under imputation for estimators using poststratification information, Journal of the American Statistical Association, 95, , ZANUTTO, E., Jackknife variance estimation under imputation for missing data in survey samples, Master of Science Thesis, Carleton University, Ottawa, WEB Donald Hedeker - longitudinal missing data:

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