Results 41 to 50 of about 22,854 (294)

Machine learning nonresponse adjustment of patient-reported opioid consumption data to enable consumption-informed postoperative opioid prescribing guidelines

Surgery in Practice and Science, 2022
Background: Post-discharge opioid consumption is a crucial patient-reported outcome informing opioid prescribing guidelines, but its collection is resource-intensive and vulnerable to inaccuracy due to nonresponse bias.
Chris J. Kennedy, Jayson S. Marwaha, Brendin R. Beaulieu-Jones, P. Nina Scalise, Kortney A. Robinson, Brandon Booth, Aaron Fleishman, Larry A. Nathanson, Gabriel A. Brat   +8 more
doaj   +1 more source

Accuracy of Five Multiple Imputation Methods in Estimating Prevalence of Type 2 Diabetes based on STEPS Surveys

Journal of Epidemiology and Global Health, 2020
Background: This study was aimed to evaluate five Multiple Imputation (MI) methods in the context of STEP-wise Approach to Surveillance (STEPS) surveys.
Hamid Heidarian Miri, Jafar Hassanzadeh, Saeedeh Hajebi Khaniki, Rahim Akrami, Ehsan Baradaran Sirjani   +4 more
doaj   +1 more source

No evidence of response bias in a population-based childhood cancer survivor questionnaire survey - Results from the Swiss Childhood Cancer Survivor Study.

PLoS ONE, 2017
PurposeThis is the first study to quantify potential nonresponse bias in a childhood cancer survivor questionnaire survey. We describe early and late responders and nonresponders, and estimate nonresponse bias in a nationwide questionnaire survey of ...
Corina S Rueegg, Micòl E Gianinazzi, Gisela Michel, Marcel Zwahlen, Nicolas X von der Weid, Claudia E Kuehni, and the Swiss Paediatric Oncology Group (SPOG)   +6 more
doaj   +1 more source

Doing a Time Use Survey on Smartphones Only: What Factors Predict Nonresponse at Different Stages of the Survey Process?

Survey Research Methods, 2019
The increasing use of smartphones opens up opportunities for novel ways of survey data collection, but also poses new challenges. Collecting more and different types of data means that studies can become increasingly intrusive.
Anne Elevelt, Peter Lugtig, Vera Toepoel
doaj   +1 more source

Identifying Pertinent Variables for Nonresponse Follow-Up Surveys. Lessons Learned from 4 Cases in Switzerland

Survey Research Methods, 2015
All social surveys suffer from different types of errors, of which one of the most studied is non-response bias. Non-response bias is a systematic error that occurs because individuals differ in their accessibility and propensity to participate in a ...
Caroline Vandenplas, Dominique Joye, Michèle Staehli, Alexandre Pollien   +3 more
doaj   +1 more source

Unit Nonrespondents in a Taiwan Telephone Survey

Asian Journal for Public Opinion Research, 2016
Researchers have been perplexed by the issue of unit nonresponse since the beginning of practicing survey research and have been attentive to the causes that lead to the occurrence of unit nonresponse as well as the impact of unit nonresponse.
Kuang-hui Chen
doaj   +2 more sources

How many mailouts? Could attempts to increase the response rate in the Iraq war cohort study be counterproductive?

BMC Medical Research Methodology, 2007
Background Low response and reporting errors are major concerns for survey epidemiologists. However, while nonresponse is commonly investigated, the effects of misclassification are often ignored, possibly because they are hard to quantify.
Rona Roberto, Fear Nicola T, Hull Lisa, Jones Margaret, Tate A Rosemary, Wessely Simon, Hotopf Matthew   +6 more
doaj   +1 more source

Addressing nonresponse bias in forest inventory change estimation using response homogeneity classifications

Forest Ecosystems, 2023
Estimating amounts of change in forest resources over time is a key function of most national forest inventories (NFI). As this information is used broadly for many management and policy purposes, it is imperative that accurate estimations are made from ...
James A. Westfall, Mark D. Nelson
doaj   +1 more source

Nonresponse Error in Mail Surveys: Top Ten Problems

Nursing Research and Practice, 2011
Conducting mail surveys can result in nonresponse error, which occurs when the potential participant is unwilling to participate or impossible to contact. Nonresponse can result in a reduction in precision of the study and may bias results.
Jeanette M. Daly, Julie K. Jones, Patricia L. Gereau, Barcey T. Levy   +3 more
doaj   +1 more source

Evaluating the risk of nonresponse bias in educational large-scale assessments with school nonresponse questionnaires: a theoretical study

Large-scale Assessments in Education, 2017
Survey participation rates can have a direct impact on the validity of the data collected since nonresponse always holds the risk of bias. Therefore, the International Association for the Evaluation of Educational Achievement (IEA) has set very high ...
Sabine Meinck, Diego Cortes, Sabine Tieck   +2 more
doaj   +1 more source