Model-Based Alternatives to Trimming Survey Weights

By Michael R. Elliott, Roderick J. A. Little. 2000

87 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/61cb0123ac09f07e75ad7a13f7f87641194e6a49

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Citations in the corpus

Penalized Spline Nonparametric Mixed Models for Inference About a Finite Population Mean from Two-Stage Samples (2003, unknown): “…and Little 1998): Hhoh ...,,1,μφ =≡ and HID 2τ= ; Autoregressive (AR1): (Lazzaroni and Little 1998): Hhoh ...,,1,μφ =≡ and }ρ{ ||2 jirD −= ; Linear (LIN): (Lazzaroni and Little 1998): =hφ Hhxh ...,,1,βα =+ and HID 2τ= ; Nonparametric: (Elliott and Little 2000): =hφ Hhxf h ...,,1),( = and 0”
To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling (2004, unknown): “For example, the model of Elliott and Little (2000) shrinks the (post)strati ed means toward a smooth function of the selection probabilities, determined by a spline function.”
A new approach to weighting and inference in sample surveys (2008, methodology): “This is to be contrasted with other model-based approaches, such as that proposed by Elliott & Little (2000) or the prediction approach of Royall (1970), where it is necessary to postulate and validate a model for each variable of interest, which may then lead to variable-specific sets of weights.”
Does Weighting for Nonresponse Increase the Variance of Survey Means (2004, unknown): “A more sophisticated approach is to apply random-effects models to shrink the weights, with more shrinkage for outcomes that are not strongly related to the covariates (e.g., Elliott and Little 2000).”
Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data (2007, background): “The latter view has been expressed by Elliott and Little (2000) in the context of survey estimation, where the selection probabilities are known,”
Introduction to Survey Quality (2003, background): “However, there is an extensive literature on weighting and the interested reader is referred to Horvitz and Thompson (1952), Elliott and Little (2000), Pfeffermann et al. (1998), and Hidiroglou et al. (1995a).”