Comparación de dos métodos para corregir el sesgo de no respuesta a una encuesta: sustitución muestral y ajuste según propensión a responder

Groves, 1989 Kessler, 1995, Advances in strategies for minimizing and adjusting for survey nonresponse, Epidemiol Rev, 17, 192, 10.1093/oxfordjournals.epirev.a036176 Goyder, 1985, The decline in survey response: a social values interpretation, Sociology, 19, 55, 10.1177/0038038585019001006 Steeh, 1981, Trends in nonresponse rates, 1952–1979, Public Opin Q, 45, 40, 10.1086/268633 Atrostic, 2001, Nonresponse in US government household surveys: consistent measures, recent trends, and new insights, Journal of Official Statistics, 17, 209 Brick, 1996, Handling missing data in survey research, Stat Methods Med Res, 5, 215, 10.1177/096228029600500302 Stang, 2003, Nonresponse research—an underdeveloped field in epidemiology, Eur J Epidemiol, 18, 929, 10.1023/A:1025877501423 Groves, 1998 Chapman, 1982, Substitution for missing units, Proceedings of the Survey Research Methods Section, American Statistical Association, 76 Vehovar, 1994, Field substitutions—a neglected option?, Proceedings of the Survey Research Methods Section, American Statistical Association, 589 Rubin DB, Zanutto E. Using matched substitutes to adjust for nonignorable nonresponse through multiple imputations. En: Groves R, Little RJ, Eltinge J, editores. Survey nonresponse. 1st ed. Nueva York: John Wiley & Sons, Inc.; 2002. Vehovar, 1999, Field substitution and unit nonresponse, Journal of Official Statistics, 15, 335 Little, 1986, Survey nonresponse adjustments, International Statistical Review, 54, 139, 10.2307/1403140 Iannacchione, 1991, Response probability weight adjustments using logistic regression, Proceedings of the Survey Research Methods Section, American Statistical Association, 637 Ezzati-Rice, 1994, Modeling of response propensity in the third National Health and Nutrition Examination Survey, Proceedings of the Survey Research Methods Section, American Statistical Association, 955 Vartivarian S, Little RJ. On the formation of weighting adjustments cells for unit nonresponse. American Statistical Association Proceedings of the Joint Statistical Meetings. 2002;3353–8. Rosenbaum, 1983, The central role of the propensity score in observational studies for causal effects, Biometrika, 70, 41, 10.1093/biomet/70.1.41 Ministerio de Salud, Departamento de Epidemiología y Departamento de Promoción de Salud/Instituto Nacional de Estadísticas. Presentación de factores de riesgo. Primera Encuesta Nacional de Calidad de Vida y Salud. 2000. [Acceso el 02/05/2007.] Disponible en: http://epi.minsal.cl/epi/html/sdesalud/cdevid/presentacion.ppt#1. Ministerio de Salud. Informe final: resultados de la Encuesta Nacional de Salud, Chile 2003. Mayo, 2004. [Acceso el 02/05/2007.] Disponible en: http://epi.minsal.cl/epi/html/frames/frame3.htm. Kish, 1949, A procedure for objective respondent selection within the household, JASA, 44, 380, 10.1080/01621459.1949.10483314 Little, 2003, On weighting the rates in non-response weights, Stat Med, 22, 1589, 10.1002/sim.1513 Beck, 2000, Comparison of nonresponse adjustment methods in a health survey, Proceedings of the Research Methods Section, American Statistical Association, 630 Smith, 2004, Evaluation of adjustments for partial non-response bias in the US National Immunization Survey, Journal of the Royal Statistical Society: Series A (Statistics in Society), 167, 141, 10.1046/j.0964-1998.2003.00636.x Stang, 2004, Studies with low response proportions may be less biased than studies with high response proportions, Am J Epidemiol, 159, 204, 10.1093/aje/kwh009 Carlson BL, Williams S. A comparison of two methods to adjust weights for non-response: propensity modeling and weighting class adjustments. Proceedings of the Annual Meeting of the American Statistical Association; August 5–9, 2001. McCall, 2004, Estimation of non-response bias in the Medicare FFS HOS, Health Care Financ Rev, 25, 27 Boshuizen, 2006, Non-response in a survey of cardiovascular risk factors in the Dutch population: determinants and resulting biases, Public Health, 120, 297, 10.1016/j.puhe.2005.09.008 Rao, 2005, An application of a weighting method to adjust for nonresponse in standardized incidence ratio analysis of cohort studies, Ann Epidemiol, 15, 129, 10.1016/j.annepidem.2004.05.007 Cohen, 2002, Are nonrespondents to health surveys less healthy than respondents?, Journal of Official Statistics, 18, 13 Criqui, 1978, Differences between respondents and non-respondents in a population-based cardiovascular disease study, Am J Epidemiol, 108, 367, 10.1093/oxfordjournals.aje.a112633 Hill, 1997, Non-response bias in a lifestyle survey, J Public Health Med, 19, 203, 10.1093/oxfordjournals.pubmed.a024610 Brogger, 2003, Contribution of follow-up of nonresponders to prevalence and risk estimates: a Norwegian respiratory health survey, Am J Epidemiol, 157, 558, 10.1093/aje/kwg003 Baptista AM, Gomes C, Valdivia G, on behalf of the Chile Platino Study Team. Platino Study-Chilean Survey, Report. 2004. [Acceso el 02/07/2007.] Disponible en: http://www.platino-alat.org/docs/report_platino_chile_2004.pdf.