Resumen

BOJORQUEZ-CHAPELA, Ietza Rocío; TREJO VALDIVIA, Belem  y  SALGADO DE SNYDER, V. Nelly. Application of censored-data analysis for managing CES-D incomplete responses. Salud Ment [online]. 2012, vol.35, n.1, pp.21-27. ISSN 0185-3325.

Purpose To provide an example of censored data analysis in the management of CED-S missing data, using a data set of a study conducted with Mexican rural women. Material and Methods Data used for this exercise were collected in a cross-sectional study with 416 women in the Mexican region known as the Mixteca Baja. Using a Survival Analysis (SA) focus we present a general description of the scores, along with the estimation of association patterns between those scores and the independent variables departing from Cox's proportional risk model. A comparison is made of these results and those obtained through a regression analysis. Results Using only the information from observations with complete data, the average CES-D score was 11.0 and the prevalence of symptoms above the cut-off point (16) was 23.2%. Twenty-six percent of the women did not respond to at least one item. When conducting the SA, the estimated mean score of the scale was 14.0. Survival above the cut-off point corresponded to an estimated prevalence of 21%. Conclusions SA is useful in the management of data sets with missing data in scales such as the CES-D. In this example, the increased percentage of observations with missing data produced a loss of precision in the estimators. The differences in mean item scores between observation with complete and incomplete data suggested a non-random, no-response pattern, if this is not taken into consideration it could bias the estimation in the scale mean and its association with other variables. Conducting SA we were able to use the information of most women participating in the study, including those who did not respond to all items in the scale.

Palabras llave : Analysis of censored data; survival analysis; CES-D.

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