Results 11 to 20 of about 2,499,937 (274)

Studying Hard-to-Reach Populations applications using river sampling, The case of foster families

Ask, 2023
This paper presents the application of non-probability sampling – the rivers sample method to reach a group of professional foster parents in Poland – case of hard-to-reach population. This is a population whose public, nationwide register does not exist
Agata Skalec-Ruczyńska
doaj   +1 more source

Prevalence of Substance Use and Mental Health Problems among Transgender and Cisgender U.S. Adults: Results from a National Probability Sample

Psychiatry Research, 2023
Transgender individuals experience numerous health disparities relative to cisgender individuals. However, most transgender-health studies have focused on convenience samples with limited generalizability.
J. Kidd, Nicky Tettamanti, Roma Kaczmarkiewicz, Thomas Corbeil, Jordan D Dworkin, K. Jackman, T. Hughes, W. Bockting, I. Meyer   +8 more
semanticscholar   +1 more source

Intimate partner violence, suicidality, and self-harm: a probability sample survey of the general population in England

Lancet psychiatry, 2022
Summary Background Intimate partner violence (IPV) is a recognised risk factor for psychiatric disorders. There is little current evidence on IPV and self-harm and suicidality, and we therefore aimed to investigate the associations between experience of ...
S. McManus, S. Walby, E. Barbosa, L. Appleby, T. Brugha, P. Bebbington, E. Cook, D. Knipe   +7 more
semanticscholar   +1 more source

Combining Statistical Matching and Propensity Score Adjustment for inference from non-probability surveys

Journal of Computational and Applied Mathematics, 2021
The convenience of online surveys has quickly increased their popularity for data collection. However, this method is often non-probabilistic as they usually rely on selfselection procedures and internet coverage.
L. Castro-Martín, M. Rueda, R. Ferri-García   +2 more
semanticscholar   +1 more source

Doubly robust inference when combining probability and non-probability samples with high dimensional data [PDF]

Journal of The Royal Statistical Society Series B-statistical Methodology, 2019
We consider integrating a non‐probability sample with a probability sample which provides high dimensional representative covariate information of the target population.
Shu Yang, Jae Kwang Kim, Rui Song
semanticscholar   +1 more source

FlexSketch: Estimation of Probability Density for Stationary and Non-Stationary Data Streams

Sensors, 2021
Efficient and accurate estimation of the probability distribution of a data stream is an important problem in many sensor systems. It is especially challenging when the data stream is non-stationary, i.e., its probability distribution changes over time ...
Namuk Park, Songkuk Kim
doaj   +1 more source

Sample sizes for non-inferiority studies based on the difference between two proportions: a unified approach for difference, ratio and odds ratio models

Epidemiology, Biostatistics and Public Health, 2020
Background: It is never easy to make sample size calculation for two-arm, non-inferiority studies with a primary proportion outcome not only because the different parameterisations involved in the difference, ratio, and odds ratio models lead to ...
Bruno Mario Cesana, Paolo Antonelli
doaj   +1 more source

Data quality assessment and subsampling strategies to correct distributional bias in prevalence studies

BMC Medical Research Methodology, 2021
Background Healthcare-associated infections (HAIs) represent a major Public Health issue. Hospital-based prevalence studies are a common tool of HAI surveillance, but data quality problems and non-representativeness can undermine their reliability ...
A. D’Ambrosio, J. Garlasco, F. Quattrocolo, C. Vicentini, C. M. Zotti   +4 more
doaj   +1 more source

Weighting Non-probability and Probability Sample Surveys in Describing Cancer Catchment Areas

Cancer Epidemiology, Biomarkers and Prevention, 2019
Background: The Population Health Assessment initiative by NCI sought to enhance cancer centers’ capacity to acquire, aggregate, and integrate data from multiple sources, as well as to plan, coordinate, and enhance catchment area analysis activities ...
Ronaldo Iachan, Lew Berman, Tonja M. Kyle, Kelly Martin, Yangyang Deng, Davia Moyse, Deirdre Middleton, Audie A Atienza   +7 more
semanticscholar   +1 more source

Methods for sampling and inference with non-probability samples

, 2021
Non-probability samples are a topic of growing relevance in academic and applied research as well as national statistical institutes. This deliverable discusses the major statistical challenges that arise when using non-probability samples, as well as methodological advances for improving the reliability of results and conclusions that are obtained ...
Lenau, Simon, Marchetti, S., Münnich, Ralf, Pratesi, Monica, Salvati, N., Shlomo, N., Schirripa Spagnolo, F., Zhang, L.-C.   +7 more
openaire   +1 more source