Pub Date : 2009-06-01DOI: 10.1007/s11425-009-0088-5
Hu Yu, He Xuming, Tao Jian, Shi Ning-Zhong
We use the functional principal component analysis (FPCA) to model and predict the weight growth in children. In particular, we examine how the approach can help discern growth patterns of underweight children relative to their normal counterparts, and whether a commonly used transformation to normality plays any constructive roles in a predictive model based on the FPCA. Our work supplements the conditional growth charts developed by Wei and He (2006) by constructing a predictive growth model based on a small number of principal components scores on individual's past.
{"title":"Modeling and prediction of children's growth data via functional principal component analysis.","authors":"Hu Yu, He Xuming, Tao Jian, Shi Ning-Zhong","doi":"10.1007/s11425-009-0088-5","DOIUrl":"https://doi.org/10.1007/s11425-009-0088-5","url":null,"abstract":"<p><p>We use the functional principal component analysis (FPCA) to model and predict the weight growth in children. In particular, we examine how the approach can help discern growth patterns of underweight children relative to their normal counterparts, and whether a commonly used transformation to normality plays any constructive roles in a predictive model based on the FPCA. Our work supplements the conditional growth charts developed by Wei and He (2006) by constructing a predictive growth model based on a small number of principal components scores on individual's past.</p>","PeriodicalId":51275,"journal":{"name":"Science in China. Series A, Mathematics, Physics, Astronomy","volume":"52 6","pages":"1342-1350"},"PeriodicalIF":0.0,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11425-009-0088-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29127017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-06-01DOI: 10.1007/s11425-009-0134-3
Zhao Sihai Dave, Li Yi
{"title":"A note on Optimal weights and variable selections for multivariate survival data.","authors":"Zhao Sihai Dave, Li Yi","doi":"10.1007/s11425-009-0134-3","DOIUrl":"https://doi.org/10.1007/s11425-009-0134-3","url":null,"abstract":"","PeriodicalId":51275,"journal":{"name":"Science in China. Series A, Mathematics, Physics, Astronomy","volume":"52 6","pages":"1131-1133"},"PeriodicalIF":0.0,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11425-009-0134-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28940098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}