Matches in SemOpenAlex for { <https://semopenalex.org/work/W1926851710> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W1926851710 endingPage "310" @default.
- W1926851710 startingPage "293" @default.
- W1926851710 abstract "Most genetic studies recruit high-risk families, and the discoveries are based on non-random selected groups. We must consider the consequences of this ascertainment process to apply the results of genetic research to the general population. In addition, in epidemiological studies, binary responses are often misclassified. We proposed a binary logistic regression model that provides a novel and flexible way to correct for misclassification in binary responses, taking into account the ascertainment issues. A hierarchical Bayesian analysis using Markov chain Monte Carlo method has been carried out to investigate the effect of covariates on disease status. The focus of this paper is to study the effect of classification errors and non-random ascertainment on the estimates of the model parameters. An extensive simulation study indicated that the proposed model results in substantial improvement of the estimates. Two data sets have been revisited to illustrate the methodology." @default.
- W1926851710 created "2016-06-24" @default.
- W1926851710 creator A5020475283 @default.
- W1926851710 creator A5033312478 @default.
- W1926851710 creator A5090397754 @default.
- W1926851710 date "2013-04-24" @default.
- W1926851710 modified "2023-09-27" @default.
- W1926851710 title "Analysis of binary data with the possibility of wrong ascertainment" @default.
- W1926851710 cites W1971499416 @default.
- W1926851710 cites W1975737929 @default.
- W1926851710 cites W1975881982 @default.
- W1926851710 cites W1978171896 @default.
- W1926851710 cites W1979185350 @default.
- W1926851710 cites W1988684120 @default.
- W1926851710 cites W1990289270 @default.
- W1926851710 cites W1999401528 @default.
- W1926851710 cites W2019842834 @default.
- W1926851710 cites W2029660590 @default.
- W1926851710 cites W203373601 @default.
- W1926851710 cites W2050432467 @default.
- W1926851710 cites W2051378554 @default.
- W1926851710 cites W2052204938 @default.
- W1926851710 cites W2083497187 @default.
- W1926851710 cites W2087999975 @default.
- W1926851710 cites W2107536612 @default.
- W1926851710 cites W2115609230 @default.
- W1926851710 cites W2117063843 @default.
- W1926851710 cites W2148534890 @default.
- W1926851710 cites W2149569695 @default.
- W1926851710 doi "https://doi.org/10.1111/stan.12008" @default.
- W1926851710 hasPublicationYear "2013" @default.
- W1926851710 type Work @default.
- W1926851710 sameAs 1926851710 @default.
- W1926851710 citedByCount "0" @default.
- W1926851710 crossrefType "journal-article" @default.
- W1926851710 hasAuthorship W1926851710A5020475283 @default.
- W1926851710 hasAuthorship W1926851710A5033312478 @default.
- W1926851710 hasAuthorship W1926851710A5090397754 @default.
- W1926851710 hasConcept C105795698 @default.
- W1926851710 hasConcept C107673813 @default.
- W1926851710 hasConcept C111350023 @default.
- W1926851710 hasConcept C119043178 @default.
- W1926851710 hasConcept C124101348 @default.
- W1926851710 hasConcept C126322002 @default.
- W1926851710 hasConcept C149782125 @default.
- W1926851710 hasConcept C151956035 @default.
- W1926851710 hasConcept C168743327 @default.
- W1926851710 hasConcept C2779190172 @default.
- W1926851710 hasConcept C2908647359 @default.
- W1926851710 hasConcept C33923547 @default.
- W1926851710 hasConcept C41008148 @default.
- W1926851710 hasConcept C48372109 @default.
- W1926851710 hasConcept C71924100 @default.
- W1926851710 hasConcept C94375191 @default.
- W1926851710 hasConcept C95190672 @default.
- W1926851710 hasConcept C98763669 @default.
- W1926851710 hasConcept C99454951 @default.
- W1926851710 hasConceptScore W1926851710C105795698 @default.
- W1926851710 hasConceptScore W1926851710C107673813 @default.
- W1926851710 hasConceptScore W1926851710C111350023 @default.
- W1926851710 hasConceptScore W1926851710C119043178 @default.
- W1926851710 hasConceptScore W1926851710C124101348 @default.
- W1926851710 hasConceptScore W1926851710C126322002 @default.
- W1926851710 hasConceptScore W1926851710C149782125 @default.
- W1926851710 hasConceptScore W1926851710C151956035 @default.
- W1926851710 hasConceptScore W1926851710C168743327 @default.
- W1926851710 hasConceptScore W1926851710C2779190172 @default.
- W1926851710 hasConceptScore W1926851710C2908647359 @default.
- W1926851710 hasConceptScore W1926851710C33923547 @default.
- W1926851710 hasConceptScore W1926851710C41008148 @default.
- W1926851710 hasConceptScore W1926851710C48372109 @default.
- W1926851710 hasConceptScore W1926851710C71924100 @default.
- W1926851710 hasConceptScore W1926851710C94375191 @default.
- W1926851710 hasConceptScore W1926851710C95190672 @default.
- W1926851710 hasConceptScore W1926851710C98763669 @default.
- W1926851710 hasConceptScore W1926851710C99454951 @default.
- W1926851710 hasIssue "3" @default.
- W1926851710 hasLocation W19268517101 @default.
- W1926851710 hasOpenAccess W1926851710 @default.
- W1926851710 hasPrimaryLocation W19268517101 @default.
- W1926851710 hasRelatedWork W1858985792 @default.
- W1926851710 hasRelatedWork W1995860843 @default.
- W1926851710 hasRelatedWork W2004983688 @default.
- W1926851710 hasRelatedWork W2005396658 @default.
- W1926851710 hasRelatedWork W2115219202 @default.
- W1926851710 hasRelatedWork W2143207053 @default.
- W1926851710 hasRelatedWork W2302773320 @default.
- W1926851710 hasRelatedWork W3094090087 @default.
- W1926851710 hasRelatedWork W3161611511 @default.
- W1926851710 hasRelatedWork W4233153962 @default.
- W1926851710 hasVolume "67" @default.
- W1926851710 isParatext "false" @default.
- W1926851710 isRetracted "false" @default.
- W1926851710 magId "1926851710" @default.
- W1926851710 workType "article" @default.