Matches in SemOpenAlex for { <https://semopenalex.org/work/W3038482741> ?p ?o ?g. }
- W3038482741 endingPage "1126" @default.
- W3038482741 startingPage "1097" @default.
- W3038482741 abstract "Abstract This article pertains to the analysis of recurrent event data in the presence of spatial correlation. Consider units located at n possibly spatially correlated geographical areas described by their longitude and latitude and monitored for the occurrence of an event that can recur. We propose a new class of semiparametric models for recurrent events that simultaneously account for risk factors and correlation among the spatial locations, and that subsumes the current methods. Since the parameters involved in the models are not directly estimable because of the high dimension of the likelihood, we use composite likelihood approach for estimation. The approach leads to estimates with population interpretation where their large sample properties are obtained under a reasonable set of regularity conditions. Simulation studies suggest that the resulting estimators have a very good finite sampling properties. The methods are illustrated using spatial data on recurrent esophageal cancer in the northern region of France and recurrent wildfire data in the province of Alberta, Canada." @default.
- W3038482741 created "2020-07-10" @default.
- W3038482741 creator A5049255136 @default.
- W3038482741 creator A5062376508 @default.
- W3038482741 date "2020-08-26" @default.
- W3038482741 modified "2023-09-27" @default.
- W3038482741 title "Semiparametric estimation with spatially correlated recurrent events" @default.
- W3038482741 cites W1460189015 @default.
- W3038482741 cites W1570622790 @default.
- W3038482741 cites W1593493925 @default.
- W3038482741 cites W1963693056 @default.
- W3038482741 cites W1966442636 @default.
- W3038482741 cites W1966947316 @default.
- W3038482741 cites W1970262854 @default.
- W3038482741 cites W1974493848 @default.
- W3038482741 cites W1977687650 @default.
- W3038482741 cites W1980669971 @default.
- W3038482741 cites W1983321209 @default.
- W3038482741 cites W1986529644 @default.
- W3038482741 cites W1986705681 @default.
- W3038482741 cites W1987620537 @default.
- W3038482741 cites W1987957096 @default.
- W3038482741 cites W2006665996 @default.
- W3038482741 cites W2008704042 @default.
- W3038482741 cites W2025050771 @default.
- W3038482741 cites W2030057222 @default.
- W3038482741 cites W2035417512 @default.
- W3038482741 cites W2038694923 @default.
- W3038482741 cites W2051933598 @default.
- W3038482741 cites W2052944216 @default.
- W3038482741 cites W2057436087 @default.
- W3038482741 cites W2058943235 @default.
- W3038482741 cites W2067641326 @default.
- W3038482741 cites W2069626069 @default.
- W3038482741 cites W2074672770 @default.
- W3038482741 cites W2080186428 @default.
- W3038482741 cites W2081502844 @default.
- W3038482741 cites W2085640490 @default.
- W3038482741 cites W2087034140 @default.
- W3038482741 cites W2089123532 @default.
- W3038482741 cites W2094219605 @default.
- W3038482741 cites W2100967164 @default.
- W3038482741 cites W2102630933 @default.
- W3038482741 cites W2104242073 @default.
- W3038482741 cites W2126863496 @default.
- W3038482741 cites W2136178461 @default.
- W3038482741 cites W2136342893 @default.
- W3038482741 cites W2137696504 @default.
- W3038482741 cites W2137938670 @default.
- W3038482741 cites W2145522942 @default.
- W3038482741 cites W2156841141 @default.
- W3038482741 cites W2161447189 @default.
- W3038482741 cites W2167410528 @default.
- W3038482741 cites W2243792033 @default.
- W3038482741 cites W2316375461 @default.
- W3038482741 cites W2496675188 @default.
- W3038482741 cites W2552605897 @default.
- W3038482741 cites W2896997664 @default.
- W3038482741 cites W2915643887 @default.
- W3038482741 cites W2930668792 @default.
- W3038482741 cites W2955494793 @default.
- W3038482741 cites W4210481549 @default.
- W3038482741 cites W4253828197 @default.
- W3038482741 cites W4254115559 @default.
- W3038482741 cites W4362227092 @default.
- W3038482741 cites W55912154 @default.
- W3038482741 doi "https://doi.org/10.1111/sjos.12480" @default.
- W3038482741 hasPublicationYear "2020" @default.
- W3038482741 type Work @default.
- W3038482741 sameAs 3038482741 @default.
- W3038482741 citedByCount "1" @default.
- W3038482741 countsByYear W30384827412023 @default.
- W3038482741 crossrefType "journal-article" @default.
- W3038482741 hasAuthorship W3038482741A5049255136 @default.
- W3038482741 hasAuthorship W3038482741A5062376508 @default.
- W3038482741 hasConcept C105795698 @default.
- W3038482741 hasConcept C106131492 @default.
- W3038482741 hasConcept C117220453 @default.
- W3038482741 hasConcept C121332964 @default.
- W3038482741 hasConcept C140779682 @default.
- W3038482741 hasConcept C144024400 @default.
- W3038482741 hasConcept C149782125 @default.
- W3038482741 hasConcept C149923435 @default.
- W3038482741 hasConcept C150060386 @default.
- W3038482741 hasConcept C162324750 @default.
- W3038482741 hasConcept C185429906 @default.
- W3038482741 hasConcept C187736073 @default.
- W3038482741 hasConcept C202444582 @default.
- W3038482741 hasConcept C2524010 @default.
- W3038482741 hasConcept C2779662365 @default.
- W3038482741 hasConcept C2908647359 @default.
- W3038482741 hasConcept C31972630 @default.
- W3038482741 hasConcept C33676613 @default.
- W3038482741 hasConcept C33923547 @default.
- W3038482741 hasConcept C41008148 @default.
- W3038482741 hasConcept C58489278 @default.
- W3038482741 hasConcept C62520636 @default.
- W3038482741 hasConcept C96250715 @default.