Model Assisted Data Integration: An unbiased sampling strategy to use nonprobability data [PDF]
Martin Hyllienmark, Gustaf Strandell
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The Double-Edged Sword of Consecutive and Snowball Sampling: Practical Utility Versus Methodological Compromise. [PDF]
Indian J Psychol MedTripathy JS, Singh A, Tripathy D.
europepmc +1 more source
Differences in Perceptions of Health Information Between the Public and Health Care Professionals: Nonprobability Sampling Questionnaire Survey [PDF]
, 2019 Anat Gesser‐Edelsburg +6 more
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Assessing the generalizability of prevalence estimates from the all of us research program. [PDF]
Am J EpidemiolMontgomery BW +11 more
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Correcting selection bias in nonprobability samples by pseudo weighting
Statistics are often estimated from a sample rather than from the entire population. If the inclusion probability of the sample is unknown to the researcher, that is, a nonprobability sample, naively treating the sample as a simple random sample may result in selection bias.
openaire +1 more source
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification. [PDF]
Stat SciSi Y.
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Evaluating the accuracy of survey data: a case study of COVID-19 vaccination rates in Germany. [PDF]
BMC Med Res Methodolvon Glasenapp K.
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TrueNorth 3.0: NORC's calibration tool for combining probability and nonprobability samples
Susan B. Clapp +2 more
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Calibration Weighting With a Blended (Probability and Nonprobability) Sample: Mean and Variance Estimation When Errors Can Come from Both Samples [PDF]
Phillip S. Kott, Jamie Ridenhour
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