{"title":"多层次模型","authors":"Germán Rodŕıguez","doi":"10.1002/9781119513469.ch22","DOIUrl":null,"url":null,"abstract":"The course has a website at https://data.princeton.edu/pop510, where you will find supporting materials including a course syllabus and bibliography, with useful links to other resources a collection of computing logs including Stata and R logs fitting various linear and generalized linear multilevel models by maximum likelihood Computing logs illustrating the use of Bayesian methods in multilevel analysis, including a random-effects logistic regression model fitted using WinBUGS and Stan Some older runs using the classic package MLwiN Some of my own research on multilevel models is housed at https://data.princeton.edu/multilevel. Resources include a list of publications, the simulated data used in a 1995 JRSS-A paper, and the actual data used in a 2001 JRSS-A paper (and earlier in a 1996 Demography paper)","PeriodicalId":330426,"journal":{"name":"Applied Longitudinal Analysis","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"54","resultStr":"{\"title\":\"Multilevel Models\",\"authors\":\"Germán Rodŕıguez\",\"doi\":\"10.1002/9781119513469.ch22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The course has a website at https://data.princeton.edu/pop510, where you will find supporting materials including a course syllabus and bibliography, with useful links to other resources a collection of computing logs including Stata and R logs fitting various linear and generalized linear multilevel models by maximum likelihood Computing logs illustrating the use of Bayesian methods in multilevel analysis, including a random-effects logistic regression model fitted using WinBUGS and Stan Some older runs using the classic package MLwiN Some of my own research on multilevel models is housed at https://data.princeton.edu/multilevel. Resources include a list of publications, the simulated data used in a 1995 JRSS-A paper, and the actual data used in a 2001 JRSS-A paper (and earlier in a 1996 Demography paper)\",\"PeriodicalId\":330426,\"journal\":{\"name\":\"Applied Longitudinal Analysis\",\"volume\":\"150 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"54\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Longitudinal Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/9781119513469.ch22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Longitudinal Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/9781119513469.ch22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The course has a website at https://data.princeton.edu/pop510, where you will find supporting materials including a course syllabus and bibliography, with useful links to other resources a collection of computing logs including Stata and R logs fitting various linear and generalized linear multilevel models by maximum likelihood Computing logs illustrating the use of Bayesian methods in multilevel analysis, including a random-effects logistic regression model fitted using WinBUGS and Stan Some older runs using the classic package MLwiN Some of my own research on multilevel models is housed at https://data.princeton.edu/multilevel. Resources include a list of publications, the simulated data used in a 1995 JRSS-A paper, and the actual data used in a 2001 JRSS-A paper (and earlier in a 1996 Demography paper)