Results 11 to 20 of about 91,945 (288)

Diagnostic and prognostic performance of urinary neutrophil gelatinase‐associated lipocalin in patients with cirrhosis and acute kidney injury

open access: yesHepatology, EarlyView., 2022
Diagnostic and prognostic ability of urinary NGAL in patients with cirrhosis and AKI. Abstract Background and Aims Acute kidney injury (AKI) commonly occurs in patients with decompensated cirrhosis. Urinary neutrophil gelatinase–associated lipocalin (uNGAL) could help discriminate between different etiologies of AKI.
Carmine Gambino   +14 more
wiley   +1 more source

On the impact of nonresponse in logistic regression: application to the 45 and Up study

open access: yesBMC Medical Research Methodology, 2017
Background In longitudinal studies, nonresponse to follow-up surveys poses a major threat to validity, interpretability and generalisation of results. The problem of nonresponse is further complicated by the possibility that nonresponse may depend on the
Joanna J. J. Wang   +2 more
doaj   +1 more source

Nonresponse Error in Mail Surveys: Top Ten Problems

open access: yesNursing 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   +3 more
doaj   +1 more source

Implementation of the forced answering option within online surveys: Do higher item response rates come at the expense of participation and answer quality? [PDF]

open access: yesPsihologija, 2015
Online surveys have become a popular method for data gathering for many reasons, including low costs and the ability to collect data rapidly. However, online data collection is often conducted without adequate attention to implementation details.
Décieux Jean Philippe   +3 more
doaj   +1 more source

Item-nonresponse in a household sample survey in Colombia

open access: yesRevista UIS Ingenierías, 2021
Item nonresponse occurs when sample units do not provide information on a particular variable, problem that may affect the representativeness of the sample and the reliability of the estimates.
Josefa Ramoni-Perazzi   +2 more
doaj  

Unit Nonrespondents in a Taiwan Telephone Survey

open access: yesAsian 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   +1 more source

An Experimental Examination of the Content of Persuasion Letters on Nonresponse Rates and Survey Estimates in a Nonresponse Follow-Up Study

open access: yesSurvey Research Methods, 2011
Nonresponse follow-up studies are often conducted to understand whether respondents and nonrespondents differ on survey variables of interest in sample surveys.
Kristen Olson   +2 more
doaj   +1 more source

Improving Standard Poststratification Techniques For Random-Digit-Dialing Telephone Surveys

open access: yesSurvey Research Methods, 2008
Random-digit-dialing surveys in the United States such as the Behavioral Risk Factor Surveillance System (BRFSS) typically poststratify on age, gender and race/ethnicity using control totals from an appropriate source such as the 2000 Census, the Current
Michael P. Battaglia   +2 more
doaj   +1 more source

Nonignorable item nonresponse in panel data

open access: yesStatistical Theory and Related Fields, 2022
To estimate unknown population parameters based on panel data having nonignorable item nonresponse, we propose an innovative data grouping approach according to the number of observed components in the multivariate outcome $ \boldsymbol {y} $ when the ...
Sijing Li, Jun Shao
doaj   +1 more source

The effect of events between waves on panel attrition

open access: yesSurvey Research Methods, 2015
Panel surveys suffer from attrition. Most panel studies use propensity models or weighting class approaches to correct for non-random dropout. These models draw on variables measured in a previous wave or from paradata of the study. While it is plausible
Mark Trappmann   +2 more
doaj   +1 more source

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