Table of Contents

• Back to Case Studies

• Overview

• Introduction

• Data Description

  • Excel file

  • SAS 8.2 file

• Objectives

• Exercise 1

• Exercise 2

• Exercise 3

• Exercise 4

• GENESIS

• FAQs

• References

Handling Missing Data

CASE STUDY - References

Notes: * denotes an important technical article or book

Bourbeau R, Legare J, and Emond V. Nouvelles tables de mortalité par génération au Canada et au Québec. Document demographique no. 3. (Statistics Canada Catalogue no. 91F0015MPF) 1997.

Fellegi, I. P., and D. Holt (1976), "A Systematic Approach to Automatic Edit and Imputation", Journal of the American Statistical Association, 71, pp. 17-35.

*Kalton, G. and D. Kasprzyk (1982), "Imputing for Missing Survey Responses", Proceedings of the Survey Research Methods Section, American Statistical Association, pp. 22-31.

*Kalton, G., and Kasprzyk, D. (1986), "The treatment of missing survey data", Survey Methodology, 12, pp. 1-16.

*Kovar, J. G. and P. Whitridge (1995), "Imputation of Business Survey Data", in B. Cox, D. Binder, A. Christianson, M. Colledge, and P. Kott (eds),  Business Survey Methods, New Work: Wiley, pp. 403-420.

Lee, H., E. Rancourt and C.-E. Särndal (1991), "Experiments with Variance Estimation from Survey Data with Imputed Values", Proceedings of the Survey Research Methods Section, American Statistical Association, pp. 690-695.

*Little, R. J. A. and D. B. Rubin (1987), Statistical Analysis with Missing Data, New York: Wiley.

Lohr, S.L. (1999).  Sampling: Design and Analysis.  Duxbury Press.

Martel L, Bélanger A. An analysis of the change in dependence-free life expectancy in Canada between 1986 and 1996. Report on the Demographic Situation in Canada 1998-1999 (Statistics Canada Catalogue no. 91-209-XPE) 1999;164-86.

Mathers CD (1992) Estimating gains in health expectancy due to elimination of specified diseases. Fifth meeting of the International Network on Health Expectancy (REVES-5), Statistics Canada, Ottawa, 19-21 February 1992.

Monier A. La conjoncture demographique: l'Europe et les pays developes d'outre-mer. Population 1998;53:995-1023.

*Nordholt, E.S. (1997). Imputation: methods, simulation experiments and practical examples. Statistics Netherlands, 1-9

Nusselder WJ, van der Velden K, Sonsbeek JLA et al (1996). The elimination of selected chronic diseases in a population: the compression and expansion of morbidity. American Journal of Public Health  86(2): 187-193.

Oh, H. L. and F. J. Scheuren (1983), "Weighting Adjustment for Unit non-response", in W. G. Madow, I. Olkin, and D. B. Rubin (eds), Incomplete data in Sample Surveys, Vol. 2: Theory and Bibliographies, New York: Academic Press, pp. 143-184.

Sande, I. G. (1982), "Imputation in Surveys: Coping with Reality", American Statistician, 36, pp. 145-152.

Smith, P. J., Hoaglin, D. C., Battaglia, M. P., Rao, J. N. K., and Daniels, D. (2001), "Evaluation of Adjustment for Partial Nonresponse Bias, Applied to Provider nonresponse in the National Immunization Survey", paper presented at the Annual Meeting of the Statistical Society of Canada, Ottawa, Canada.

Torrance, George W. (1987): Utility approach to measuring health-related quality of life, Journal of Chronicle diseases, 40:6:593-600.

Torrance, George W. and Feeny, David (1989): Utilities and Quality-Adjusted Life Years, International Journal of Technology Assessment in Health Care.