Combining Probability and Nonprobability Samples by Using Multivariate Mass Imputation Approaches with Application to Biomedical Research [PDF]
Stats, 2023 Nonprobability samples have been used frequently in practice including public health study, economics, education, and political polls. Naïve estimates based on nonprobability samples without any further adjustments may suffer from serious selection bias.
Sixia Chen +2 more
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Descriptive inference using large, unrepresentative nonprobability samples: An introduction for ecologists. [PDF]
Ecology, 2023 AbstractBiodiversity monitoring usually involves drawing inferences about some variable of interest across a defined landscape from observations made at a sample of locations within that landscape. If the variable of interest differs between sampled and nonsampled locations, and no mitigating action is taken, then the sample is unrepresentative and ...
Boyd RJ, Stewart GB, Pescott OL.
europepmc +7 more sources
A causal inference framework for poststratification: a method for improving external validity in epidemiological studies [PDF]
BMC Medical Research MethodologyBackground Poststratification, a method for improving the representativeness of nonprobability samples, has developed primarily within survey methodology.
Yeon Woo Oh +4 more
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Annual Review of SociologyOnline nonprobability samples provide social scientists with opportunities to conduct surveys and experiments on large, diverse samples at modest prices. Researchers may find bewildering the options offered by the many commercial entities that provide research participants, and our review seeks to orient researchers to key issues about their use.
Jeremy Freese
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Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys [PDF]
Annals of Applied Statistics, 2021 Brady T West +2 more
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Combining Probability and Nonprobability Samples on an Aggregated Level
Journal of Official StatisticsProbability surveys are experiencing important drawbacks nowadays: costs are relatively high and participation rates are decreasing, which could yield less accurate estimates. Alternatively, nonprobability samples like administrative records are having a rise in popularity due to their convenience and low costs.
Sander Scholtus, Ton de Waal
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Analysis of combined probability and nonprobability samples: a simulation evaluation and application to a teen smoking behavior survey [PDF]
Communications in Statistics Part B: Simulation and ComputationWenna Xi, Alice Hinton, Bo Lu
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occAssess: An R package for assessing potential biases in species occurrence data
Ecology and Evolution, 2021 Species occurrence records from a variety of sources are increasingly aggregated into heterogeneous databases and made available to ecologists for immediate analytical use. However, these data are typically biased, i.e.
Robin J. Boyd +3 more
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Survey Research Methods, 2022 In this paper we report the findings from our study which was undertaken to learn if the findings of Chang et al. (2009), Yeager et al. (2011), Erens et al. (2014), MacInnis et al. (2018) and Cornesse et al. (2020) would be replicated in Australia.
Paul John Lavrakas +3 more
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Polling India via regression and post-stratification of non-probability online samples.
PLoS ONE, 2021 Recent technological advances have facilitated the collection of large-scale administrative data and the online surveying of the Indian population. Building on these we propose a strategy for more robust, frequent and transparent projections of the ...
Roberto Cerina, Raymond Duch
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