Sampling Weights Literature Review

Books

Citro, C. F., & Graham, K. (Eds.). (2007). Using the American community survey: benefits and challenges. National Academies Press. PRI Library holdings, Penn State Libraries holdings

Lee, E. S., & Forthofer, R. N. (2006). Analyzing complex survey data. Sage Publications. PRI Library holdings, Penn State Libraries holdings

Särndal, C.-E., & Lundström, S. (2005). Estimation in surveys with nonresponse. Hoboken, NJ: Wiley. Penn State Libraries holdings

Groves, R. M., Fowler, F. J., Jr.  , Couper, M. P., Lepkowski, J. M., Singer, E., & Tourangeau, R. (2004). Survey methodology. Hoboken, NJ: J. Wiley. Penn State Libraries holdings

Kalton, G. (Ed.). (1983). Introduction to survey sampling. Beverly Hills, CA: Sage Publications. PRI Library holdings, Penn State Libraries holdings

Kish, L. (1965). Survey sampling. New York: J. Wiley. Penn State Libraries holdings

Journal Articles

Ciol, M. A., Hoffman, J. M., Dudgeon, B. J., Shumway-Cook, A., Yorkston, K. M., & Chan, L. (2006). Understanding the use of weights in the analysis of data from multistage surveys. Archives of Physical Medicine and Rehabilitation, 87(2), 299-303. doi: 10.1016/j.apmr.2005.09.021

Asparouhov, T. (2005). Sampling weights in latent variable modeling. Structural Equation Modeling-A Multidisciplinary Journal, 12(3), 411-434. doi: 10.1207/s15328007sem1203_4

Hofler, M., Pfister, H., Lieb, R., & Wittchen, H. U. (2005). The use of weights to account for non-response and drop-out. Social Psychiatry and Psychiatric Epidemiology, 40(4), 291-299. doi: 10.1007/s00127-005-0882-5

Kristman, V. L., Manno, M., & Cote, P. (2005). Methods to account for attrition in longitudinal data: Do they work? A simulation study. European Journal of Epidemiology, 20(8), 657-662. doi: 10.1007/s10654-005-7919-7

Rao, R. S., Sigurdson, A. J., Doody, M. M., & Graubard, B. I. (2005). An application of a weighting method to adjust for nonresponse in standardized incidence ratio analysis of cohort studies. Annals of Epidemiology, 15(2), 129-136. doi: 10.1016/j.annepidem.2004.05.007

Grilli, L., & Pratesi, M. (2004). Weighted estimation in multilevel ordinal and binary models in the presence of informative sampling designs. Survey Methodology, 30(1), 93-103.

Raghunathan, T. E. (2004). What do we do with missing data? Some options for analysis of incomplete data. Annual Review of Public Health, 25, 99-117. doi: 10.1146/annurev.publhealth.25.102802.124410

Kahn, K. L., Liu, H. H., Adams, J. L., Chen, W. P., Tisnado, D. M., Carlisle, D. M., et al. (2003). Methodological challenges associated with patient responses to follow-up longitudinal surveys regarding quality of care. Health Services Research, 38(6), 1579-1598.

Kneipp, S. M., & Yarandi, H. N. (2002). Complex sampling designs and statistical issues in secondary analysis. Western Journal of Nursing Research, 24(5), 552-566. doi: 10.1177/019394502400446414

Stapleton, L. A. (2002). The incorporation of sample weights into multilevel structural equation models. Structural Equation Modeling, 9(4), 475-502. doi: 10.1207/S15328007SEM0904_2

Butler, J. S. (2000). Efficiency results of MLE and GMM estimation with sampling weights. Journal of Econometrics, 96(1), 25-37. doi: 10.1016/S0304-4076(99)00049-4

Carlin, J. B., Wolfe, R., Coffey, C., & Patton, G. C. (1999). Analysis of binary outcomes in longitudinal studies using weighted estimating equations and discrete-time survival methods: Prevalence and incidence of smoking in an adolescent cohort. Statistics in Medicine, 18(19), 2655-2679.

Hellerstein, J. K., & Imbens, G. W. (1999). Imposing moment restrictions from auxiliary data by weighting. Review of Economics and Statistics, 81(1), 1-14. doi: 10.1162/003465399557860

Whitmore, R. W., Byron, M. Z., Clayton, C. A., Thomas, K. W., Zelon, H. S., Pellizzari, E. D., et al. (1999). Sampling design, response rates, and analysis weights for the National Human Exposure Assessment Survey (NHEXAS) in EPA Region 5. Journal of Exposure Analysis and Environmental Epidemiology, 9(5), 369-380. doi: 10.1038/sj.jea.7500054

D. Pfeffermann, C. J. S., D. J. Holmes, H. Goldstein, J. Rasbash, (1998). Weighting for unequal selection probabilities in multilevel models. Journal of the Royal Statistical Society: Series B: Statistical Methodology, 60(1), 23-40. doi: 10.1111/1467-9868.00106

Gelman, A., King, G., & Liu, C. H. (1998). Not asked and not answered: Multiple imputation for multiple surveys. Journal of the American Statistical Association, 93(443), 846-857.

Heath, A. C., Madden, P. A. F., & Martin, N. G. (1998). Assessing the effects of cooperation bias and attrition in behavioral genetic research using data-weighting. Behavior Genetics, 28(6), 415-427. doi: 10.1023/A:1021633127604

Magee, L., Robb, A. L., & Burbidge, J. B. (1998). On the use of sampling weights when estimating regression models with survey data. Journal of Econometrics, 84(2), 251-271. doi: 10.1016/S0304-4076(97)00086-9

Taylor, A. W., Wilson, D. H., & Wakefield, M. (1998). Differences in health estimates using telephone and door-to-door survey methods - a hypothetical exercise. Australian and New Zealand Journal of Public Health, 22(2), 223-226. doi: 10.1111/j.1467-842X.1998.tb01177.x

Brick, J., & Kalton, G. (1996). Handling missing data in survey research. Statistical Methods in Medical Research, 5(3), 215-238. doi: 10.1177/096228029600500302

Korn, E. L., & Graubard, B. I. (1995). Analysis of large health surveys - accounting for the sampling design. Journal of the Royal Statistical Society Series A-Statistics in Society, 158, 263-295.

Kromrey, J. D., & Hines, C. V. (1994). Nonrandomly missing data in multiple-regression - an empirical-comparison of common missing-data treatments. Educational and Psychological Measurement, 54(3), 573-593. doi: 10.1177/0013164494054003001

Lohr, S. L., & Liu, J. (1994). A comparison of weighted and unweighted analyses in the National Crime Victimization Survey. Journal of Quantitative Criminology, 10(4), 343-360. doi: 10.1007/BF02221280

Winship, C., & Radbill, L. (1994). Sampling weights and regression-analysis. Sociological Methods & Research, 23(2), 230-257. doi: 10.1177/0049124194023002004

Potthoff, R. F., Manton, K. G., & Woodbury, M. A. (1993). Correcting for nonavailability bias in surveys by weighting based on number of callbacks. Journal of the American Statistical Association, 88(424), 1197-1207.

Johnson, E. G., & Rust, K. F. (1992). Population inferences and variance-estimation for NAEP data. Journal of Educational Statistics, 17(2), 175-190.

Rust, K. F., & Johnson, E. G. (1992). Sampling and weighting in the National Assessment. Journal of Educational Statistics, 17(2), 111-129. doi: 10.3102/10769986017002111

Korn, E. L., & Graubard, B. I. (1991). Epidemiologic studies utilizing surveys - accounting for the sampling design. American Journal of Public Health, 81(9), 1166-1173.

Meredith, W., & Tisak, J. (1982). Canonical-analysis of longitudinal and repeated measures data with stationary weights. Psychometrika, 47(1), 47-67. doi: 10.1007/BF02293850

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