Results 121 to 130 of about 14,292 (206)

Agreement between seroprevalence- and model-based estimates of COVID-19 burden. [PDF]

Glob Health Action
Owusu-Boaitey N, Böttcher L, Meyerowitz-Katz G, Howard J, Gorski DH, Besançon L, Barchuk A.   +6 more
europepmc   +1 more source

A Demonstration of Propensity-Score Weighting to Adjust a Social Media Nonprobability Sample Survey of Political Attitudes. [PDF]

Public Opin Q
Pollard MS, Robbins MW, Griswold M.
europepmc   +1 more source

A causal inference framework for poststratification: a method for improving external validity in epidemiological studies. [PDF]

BMC Med Res Methodol
Oh YW, Lee D, Cho J, Kim C, Kim KN.
europepmc   +1 more source

Aggregate administrative data and estimation from nonprobability samples

, 2021
In the last two decades survey research has faced two main challenges: the spread of online research using non-probability samples and the general drop of response rates. In this scenario complex adjustments are needed to preserve the inference process.
openaire   +1 more source

Public opinion trends in American society: Lessons from social science infrastructure. [PDF]

PNAS Nexus
Druckman JN, Brocheux A, Gordula P, Marsh HE, Sawler D, Sun D, Zhu YW.   +6 more
europepmc   +1 more source

Research Methods: Sampling.

Evidence Based Library and Information Practice, 2016
Virginia Wilson
doaj  

Towards a unified approach to formal "risk of bias" assessments for causal and descriptive inference. [PDF]

Qual Quant
Pescott OL, Boyd RJ, Powney GD, Stewart GB.   +3 more
europepmc   +1 more source

Correction for Participation Bias in Nonprobability Samples Using Multiple Reference Surveys. [PDF]

Stat Med
Landsman V, Wang L, Carrillo-Garcia I, Mitani AA, Smith PM, Graubard BI, Bui T, Carnide N.   +7 more
europepmc   +1 more source

A two-step approach to simultaneously correct for selection and misclassification bias in nonprobability samples from hard-to-reach populations. [PDF]

Am J Epidemiol
Dharma C, Dharma C, Smith P, Salway T, Gesink D, Escobar M, Landsman V.   +6 more
europepmc   +1 more source

Random probability vs quota sampling

, 2019
Executive Summary- Probability sampling has a well-developed, relatively straightforward, design-based estimation framework providing the best approach to making inference about a population.- Non-probability sampling includes a diverse range of methods ...
Dawber, James, Smith, Paul A.
core