{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T01:36:36Z","timestamp":1791941796172,"version":"4.3.4"},"reference-count":28,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2014,11,7]],"date-time":"2014-11-07T00:00:00Z","timestamp":1415318400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P01 CA142538"],"award-info":[{"award-number":["P01 CA142538"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["1U01NS082062-01A1"],"award-info":[{"award-number":["1U01NS082062-01A1"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,9,1]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>We consider estimation of regression models for sparse asynchronous longitudinal observations, where time-dependent responses and covariates are observed intermittently within subjects. Unlike with synchronous data, where the response and covariates are observed at the same time point, with asynchronous data, the observation times are mismatched. Simple kernel-weighted estimating equations are proposed for generalized linear models with either time invariant or time-dependent coefficients under smoothness assumptions for the covariate processes which are similar to those for synchronous data. For models with either time invariant or time-dependent coefficients, the estimators are consistent and asymptotically normal but converge at slower rates than those achieved with synchronous data. Simulation studies evidence that the methods perform well with realistic sample sizes and may be superior to a naive application of methods for synchronous data based on an ad hoc last value carried forward approach. The practical utility of the methods is illustrated on data from a study on human immunodeficiency virus.<\/jats:p>","DOI":"10.1111\/rssb.12086","type":"journal-article","created":{"date-parts":[[2014,11,7]],"date-time":"2014-11-07T07:51:29Z","timestamp":1415346689000},"page":"755-776","source":"Crossref","is-referenced-by-count":21,"title":["Regression Analysis of Sparse Asynchronous Longitudinal Data"],"prefix":"10.1093","volume":"77","author":[{"given":"Hongyuan","family":"Cao","sequence":"first","affiliation":[{"name":"University of Chicago \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donglin","family":"Zeng","sequence":"additional","affiliation":[{"name":"University of North Carolina at Chapel Hill \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jason P.","family":"Fine","sequence":"additional","affiliation":[{"name":"University of North Carolina at Chapel Hill \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2014,11,7]]},"reference":[{"key":"2023021709291874700_rssb12086-cit-0001","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1093\/biomet\/87.1.89","article-title":"Inferences for a semiparametric model with panel data","volume":"87","author":"Cheng","year":"2000","journal-title":"Biometrika"},{"key":"2023021709291874700_rssb12086-cit-0002","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1198\/016214501753168280","article-title":"Smoothing spline estimation for varying coefficient models with repeatedly measured dependent variables","volume":"96","author":"Chiang","year":"2001","journal-title":"J. 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