منابع مشابه
Diagnostics for Multivariate Imputations∗
We consider three sorts of diagnostics for random imputations: (a) displays of the completed data, intended to reveal unusual patterns that might suggest problems with the imputations, (b) comparisons of the distributions of observed and imputed data values, and (c) checks of the fit of observed data to the model used to create the imputations. We formulate these methods in terms of sequential ...
متن کاملDiagnostics for Multiple Imputations
Multiple imputation technique is becoming a popular method for analyzing data with missing values. Several methods have been proposed for creating multiple imputations and most of these methods assume that the data are missing at random (MAR). However, limited diagnostic tools are available to check whether the imputations created by these methods are reasonable. This article develops a set of ...
متن کاملMultiple Imputations Based Estimation of Survival Functions
We derive the asymptotic distribution of the multiple imputations based Kaplan– Meier estimator from right censored data with missing censoring indicators and perform a theoretical and numerical comparison with a competing semiparametric survival function estimator, including a robustness study.
متن کاملImputations of missing values in practice: results from imputations of serum cholesterol in 28 cohort studies.
Missing values, common in epidemiologic studies, are a major issue in obtaining valid estimates. Simulation studies have suggested that multiple imputation is an attractive method for imputing missing values, but it is relatively complex and requires specialized software. For each of 28 studies in the Asia Pacific Cohort Studies Collaboration, a comparison of eight imputation procedures (uncond...
متن کامل[Multiple imputations for missing data: a simulation with epidemiological data].
In situations with missing data, statistical analyses are usually limited to subjects with complete data. However, such estimates may be biased. The method of 'filling in' missing data is called imputation. This article aimed to present a multiple imputation method. From a data set of 470 surgical patients, logistic models were developed for death as the outcome. Two incomplete data sets were g...
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ژورنال
عنوان ژورنال: Journal of the Royal Statistical Society: Series C (Applied Statistics)
سال: 2008
ISSN: 0035-9254,1467-9876
DOI: 10.1111/j.1467-9876.2007.00613.x