Results 1 to 10 of about 2,751,217 (162)

On valid descriptive inference from non-probability sample [PDF]

Statistical Theory and Related Fields, 2018
We examine the conditions under which descriptive inference can be based directly on the observed distribution in a non-probability sample, under both the super-population and quasi-randomisation modelling approaches.
Zhang, Li-Chun
core   +7 more sources

Combining Non-Probability and Probability Survey Samples Through Mass Imputation [PDF]

Journal of the Royal Statistical Society Series A: Statistics in Society, 2021
Abstract Analysis of non-probability survey samples requires auxiliary information at the population level. Such information may also be obtained from an existing probability survey sample from the same finite population. Mass imputation has been used in practice for combining non-probability and probability survey samples and making ...
Kim, Jae Kwang, Park, Seho, Chen, Yulin, Wu, Changbao   +3 more
  +8 more sources

Doubly Robust Inference when Combining Probability and Non-probability Samples with High-dimensional Data [PDF]

, 2019
Non-probability samples become increasingly popular in survey statistics but may suffer from selection biases that limit the generalizability of results to the target population.
Bang, Berger, Berger, Bethlehem, Breidt, Brewer, Brookhart, Buchanan, Cao, Chen, Chen, Chen, Chernozhukov, Chipperfield, Conti, De, Deville, DiSogra, Elliott, Fan, Fan, Farrell, Friedman, Fuller, Gao, Grafström, Han, Hunter, Hájek, Johnson, Kang, Keiding, Kim, Kim, Kott, Kott, Lee, McConville, Meng, O’Muircheartaigh, Patrick, Rivers, Rosenbaum, Shao, Shortreed, Stuart, Stuart, Tillé, Tsiatis, Valliant   +49 more
core   +6 more sources

Examining the unique characteristics of a non-probability sample of undocumented female sex workers with dependent children: The case of Haitians in the Dominican Republic. [PDF]

Sex Cult, 2017
Rael CT, Sheinfil A, Hampanda K, Carballo-Diéguez A, Pala AN, Brown W.   +5 more
europepmc   +3 more sources

Comparing the health of non-binary and binary transgender adults in a statewide non-probability sample. [PDF]

PLoS One, 2019
Reisner SL, Hughto JMW.
europepmc   +3 more sources

Causal Inference With Survey Data: A Robust Framework for Propensity Score Weighting in Probability and Non-Probability Samples. [PDF]

Stat Med
Liang W, Wu C.
europepmc   +3 more sources

Calibration Weighting for Analyzing Non-Probability Samples [PDF]

Journal of Official Statistics
Jae‐Kwang Kim
openaire   +2 more sources

Methodology of Non-Probability Samples Through Data Integration [PDF]

American Journal of Biomedical Science & Research
Kyu-Seong Kim
openaire   +2 more sources

Methods in health research: Probability and non-probability sampling

Health Sciences International Journal
Background: Sampling is a crucial step in health research that directly affects internal and external validity. Selecting the appropriate sampling technique minimizes bias and enhances population representativeness. Objective: To review the concepts, types, strengths, limitations, and applications of probability and non-probability sampling techniques ...
Bayu Hari Mukti
openaire   +3 more sources

Feasibility of Hair Collection for Cortisol Measurement in Population Research on Adolescent Health [PDF]

, 2016
Background: Black–White disparities in adolescent health are widespread and thought to be explained, in part, by exposure to chronic stress. Cortisol assayed from hair is increasingly recognized as a valid and reliable measure for chronic physiological ...
Boch, Samantha J., Ford, Jodi L., McCarthy, Donna O.   +2 more
core   +2 more sources