Inference for Nonprobability Samples

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Combining non‐probability and probability survey samples through mass imputation (2018, background): “See, for instance, Dever and Valliant (2016) and Elliott and Valliant (2017).”
Recruiting the ABCD sample: Design considerations and procedures (2018, unknown): “achieving greater “external validity” for both experimental and observational study findings, there is a growing body of statistical literature and methods that aim to maximize the population representativeness even when study conditions do not permit a full application of traditional probability sa”
Forecasting: theory and practice (2020, background): “s et al., 2020). The increasing need of post-sampling adjustments of probabilistic samples has led to a resurgence of interest in non-probabilistic polls (Pav´ıa and Larraz, 2012; Wang et al., 2015b; Elliott and Valliant, 2017), abandoned in favour of probabilistic sampling in 1936, when Gallup fore”