Titre : | Handling Nonresponse in Surveys : Analytic Corrections Compared with Converting Nonresponders. (2008) |
Auteurs : | Paul JENKINS ; Patrick BURDICK ; Giulia EARLE-RICHARDSON ; John MAY ; Bassett Research Institute. Cooperstown. NY. USA ; New York Center for Agricultural Medicine and Health. Cooperstown. NY. USA |
Type de document : | Article |
Dans : | American journal of epidemiology (vol. 167, n° 3, 2008) |
Pagination : | 369-374 |
Langues: | Anglais |
Mots-clés : | Enquête épidémiologique ; Enquête ; Surveillance ; Etude comparée ; Biais ; Collecte information ; Prélèvement ; Statistique ; Epidémiologie ; Homme |
Résumé : | [BDSP. Notice produite par INIST-CNRS R0xhEMz2. Diffusion soumise à autorisation]. A large health survey was combined with a simulation study to contrast the reduction in bias achieved by double sampling versus two weighting methods based on propensity scores. The survey used a census of one New York county and double sampling in six others. Propensity scores were modeled as a logistic function of demographic variables and were used in conjunction with a random uniform variate to simulate response in the census. These data were used to estimate the prevalence of chronic disease in a population whose parameters were defined as values from the census. Significant (p$18,000 (OR=0.8). The model likelihood ratio chi-square was significant (p |