Matches in SemOpenAlex for { <https://semopenalex.org/work/W2778584503> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2778584503 endingPage "112" @default.
- W2778584503 startingPage "104" @default.
- W2778584503 abstract "Because of the data collection process, measurement error and missing responses are common in longitudinal data, and correctly addressing these scenarios becomes one of main challenges in longitudinal data analysis. First, an unbiased estimating equation is proposed to improve the efficiency of parameter estimations for the marginal mean model for longitudinal data with covariate measurement error. The proposed unbiased estimating equation is asymptotically more efficient than the method in Qin et al. (2016a). Second, the proposed method can be extended to handle more complicated scenarios. Specifically, robust estimation for partially linear models with missing responses and covariate measurement error is considered. The proposed robust estimation does not require specifying the distribution of the covariate or the measurement error and is computationally easy to implement. Simulation studies are conducted to evaluate the improvement of the proposed method over existing methods (Qin et al., 2016b), and a sketch of the proof of its asymptotic property is provided. Finally, the proposed method is applied to the data from the Lifestyle Education for Activity and Nutrition (LEAN) study." @default.
- W2778584503 created "2018-01-05" @default.
- W2778584503 creator A5062459178 @default.
- W2778584503 creator A5062709913 @default.
- W2778584503 creator A5077691983 @default.
- W2778584503 creator A5080436902 @default.
- W2778584503 date "2018-05-01" @default.
- W2778584503 modified "2023-10-18" @default.
- W2778584503 title "Analysis of longitudinal data with covariate measurement error and missing responses: An improved unbiased estimating equation" @default.
- W2778584503 cites W1498947193 @default.
- W2778584503 cites W1969496347 @default.
- W2778584503 cites W1974374099 @default.
- W2778584503 cites W1980128351 @default.
- W2778584503 cites W2027106381 @default.
- W2778584503 cites W2073941082 @default.
- W2778584503 cites W2105029316 @default.
- W2778584503 cites W2139764923 @default.
- W2778584503 cites W2153531124 @default.
- W2778584503 cites W2234328742 @default.
- W2778584503 cites W2495727511 @default.
- W2778584503 doi "https://doi.org/10.1016/j.csda.2017.11.010" @default.
- W2778584503 hasPublicationYear "2018" @default.
- W2778584503 type Work @default.
- W2778584503 sameAs 2778584503 @default.
- W2778584503 citedByCount "4" @default.
- W2778584503 countsByYear W27785845032018 @default.
- W2778584503 countsByYear W27785845032022 @default.
- W2778584503 countsByYear W27785845032023 @default.
- W2778584503 crossrefType "journal-article" @default.
- W2778584503 hasAuthorship W2778584503A5062459178 @default.
- W2778584503 hasAuthorship W2778584503A5062709913 @default.
- W2778584503 hasAuthorship W2778584503A5077691983 @default.
- W2778584503 hasAuthorship W2778584503A5080436902 @default.
- W2778584503 hasConcept C105795698 @default.
- W2778584503 hasConcept C11413529 @default.
- W2778584503 hasConcept C119043178 @default.
- W2778584503 hasConcept C149782125 @default.
- W2778584503 hasConcept C19619285 @default.
- W2778584503 hasConcept C204016326 @default.
- W2778584503 hasConcept C2779231336 @default.
- W2778584503 hasConcept C33923547 @default.
- W2778584503 hasConcept C41008148 @default.
- W2778584503 hasConcept C49781872 @default.
- W2778584503 hasConcept C9357733 @default.
- W2778584503 hasConceptScore W2778584503C105795698 @default.
- W2778584503 hasConceptScore W2778584503C11413529 @default.
- W2778584503 hasConceptScore W2778584503C119043178 @default.
- W2778584503 hasConceptScore W2778584503C149782125 @default.
- W2778584503 hasConceptScore W2778584503C19619285 @default.
- W2778584503 hasConceptScore W2778584503C204016326 @default.
- W2778584503 hasConceptScore W2778584503C2779231336 @default.
- W2778584503 hasConceptScore W2778584503C33923547 @default.
- W2778584503 hasConceptScore W2778584503C41008148 @default.
- W2778584503 hasConceptScore W2778584503C49781872 @default.
- W2778584503 hasConceptScore W2778584503C9357733 @default.
- W2778584503 hasFunder F4320321001 @default.
- W2778584503 hasFunder F4320335766 @default.
- W2778584503 hasLocation W27785845031 @default.
- W2778584503 hasOpenAccess W2778584503 @default.
- W2778584503 hasPrimaryLocation W27785845031 @default.
- W2778584503 hasRelatedWork W1842401162 @default.
- W2778584503 hasRelatedWork W2057612738 @default.
- W2778584503 hasRelatedWork W2068538455 @default.
- W2778584503 hasRelatedWork W2090656103 @default.
- W2778584503 hasRelatedWork W2266771332 @default.
- W2778584503 hasRelatedWork W3032945164 @default.
- W2778584503 hasRelatedWork W4310633471 @default.
- W2778584503 hasRelatedWork W4387034900 @default.
- W2778584503 hasRelatedWork W44636601 @default.
- W2778584503 hasRelatedWork W2187751129 @default.
- W2778584503 hasVolume "121" @default.
- W2778584503 isParatext "false" @default.
- W2778584503 isRetracted "false" @default.
- W2778584503 magId "2778584503" @default.
- W2778584503 workType "article" @default.