When is it appropriate to model transmission of tuberculosis using a dose response model
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.12.006
Abstract: Abstract The risk of transmission of tuberculosis (TB) in confined spaces is analyzed using the Gammaitoni and Nucci model and its variant, a dose response model. The dose response model with its additional parameters has… read more here.
Keywords: dose response; response model; model; transmission tuberculosis ... See more keywords
Robustness of Parameter Estimation to Assumptions of Normality in the Multidimensional Graded Response Model
Sign Up to like & getrecommendations! Published in 2018 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2018.1455572
Abstract: ABSTRACT A central assumption that is implicit in estimating item parameters in item response theory (IRT) models is the normality of the latent trait distribution, whereas a similar assumption made in categorical confirmatory factor analysis… read more here.
Keywords: estimation; response; graded response; multidimensional graded ... See more keywords
Randomized response model to alter the nuisance effect of non-response due to stigmatized issues in survey sampling
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2020.1777295
Abstract: The present study deals with the estimation procedures of the mean number of persons bearing a rare sensitive attribute in the clustered population under two-stage sampling scheme. The resultant estimators have been suggested using two-stage… read more here.
Keywords: estimation procedures; randomized response; response; survey ... See more keywords
An ameliorated stratified two-stage randomized response model for estimating the rare sensitive parameter under Poisson distribution
Sign Up to like & getrecommendations! Published in 2019 at "Statistics"
DOI: 10.1080/02331888.2019.1569665
Abstract: ABSTRACT This manuscript presents the process for estimating the mean number of individuals having rare sensitive characteristic when population units are heterogeneous with and without prior information on the supplementary (unrelated rare non-sensitive) characteristic. The… read more here.
Keywords: randomized response; two stage; rare sensitive; stage randomized ... See more keywords
A modified two-stage randomized response model for estimating the proportion of stigmatized attribute
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2018.1529150
Abstract: ABSTRACT The survey related to stigmatized characteristics leads to the non-response problem if it is conducted according to classical (direct) methods, especially, developed for non-sensitive issues; therefore, it needs to be applied appropriate survey methodology… read more here.
Keywords: randomized response; two stage; response; response model ... See more keywords
A stratified randomized response model for sensitive characteristics using non identical trials
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1530791
Abstract: Abstract Stratification provides a powerful tool for improving the efficiency and, being suitable for various sampling situations, it is commonly used in practice. Motivated by the utility of stratified sampling scheme, we focus on studying… read more here.
Keywords: response model; stratified randomized; randomized response; non identical ... See more keywords
Towards the Development of an Integrated Incident Response Model for Database Forensic Investigation Field
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3008696
Abstract: For every contact that is made in a database, a digital trace will potentially be left and most of the database breaches are mostly aimed at defeating the major security goals (Confidentiality, Integrity, and Authenticity)… read more here.
Keywords: incident response; investigation; response model; integrated incident ... See more keywords
A modified dose–response model that describes the relationship between haemagglutination inhibition titre and protection against influenza infection
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Microbiology"
DOI: 10.1111/jam.13628
Abstract: Develop a model for quantifying the risk of an adverse human response to influenza virus infection as a function of exposure dose and pre‐exposure antibody titre level. read more here.
Keywords: dose response; response; infection; response model ... See more keywords
A Graded Response Model Framework for Questionnaires With Uniform Response Formats
Sign Up to like & getrecommendations! Published in 2019 at "Applied Psychological Measurement"
DOI: 10.1177/0146621618789394
Abstract: Questionnaires with uniform-ordered categorical response formats are widely applied in psychology. Muraki proposed a modified graded response model accounting for the items’ uniform response formats by assuming identical threshold parameters defining the category boundaries for… read more here.
Keywords: response; response formats; graded response; response model ... See more keywords
Editorialist response: A model for predicting the growth of unruptured intracranial aneurysms: Beyond fortune telling
Sign Up to like & getrecommendations! Published in 2017 at "Neurology"
DOI: 10.1212/wnl.0000000000004378
Abstract: I thank Dr. Munakomi for the comments on the prediction of unruptured intracranial aneurysms. I agree that computational fluid dynamics (CFD) may provide valuable insight into the rupture risk of unruptured aneurysms, in addition to… read more here.
Keywords: predicting growth; model predicting; intracranial aneurysms; response model ... See more keywords
On partial randomized response model using ranked set sampling
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0277497
Abstract: In this paper, we propose a partial randomized response technique to collect reliable sensitive data for estimation of population proportion in ranked set sampling (RSS) scheme using auxiliary information. The idea is to increase confidence… read more here.
Keywords: response model; randomized response; ranked set; response ... See more keywords