{"id":16550,"date":"2024-07-30T14:12:14","date_gmt":"2024-07-30T06:12:14","guid":{"rendered":"\/stat\/?page_id=16550"},"modified":"2026-01-14T22:28:45","modified_gmt":"2026-01-14T14:28:45","slug":"%e8%8c%83%e5%be%b7%e5%a0%a1%e5%a4%a7%e5%ad%b8-2","status":"publish","type":"page","link":"\/stat\/?page_id=16550","title":{"rendered":"\u8303\u5fb7\u5821\u5927\u5b78"},"content":{"rendered":"

\u672c\u7cfb\u8207\u7f8e\u570b\u8303\u5fb7\u5821\u5927\u5b78(Vanderbilt University<\/span><\/a>)\u751f\u7269\u7d71\u8a08\u5b78\u7cfb\u3001\u6578\u91cf\u79d1\u5b78\u4e2d\u5fc3(Center for Quantitative Sciences<\/span><\/a> )\u9577\u671f\u9032\u884c\u76f8\u95dc\u5b78\u8853\u4ea4\u6d41\u6d3b\u52d5\uff0c\u5df2\u7d93\u9032\u884c\u7684\u5b78\u8853\u4ea4\u6d41\u5982\u4e0b\uff1a<\/span><\/span><\/strong><\/p>\n

1.\u672c\u7cfb\u8001\u5e2b\u5230\u8303\u5fb7\u5821\u5927\u5b78\u6578\u91cf\u79d1\u5b78\u4e2d\u5fc3\u64d4\u4efb\u8a2a\u554f\u5b78\u8005(Visiting Scholar)\uff0c\u9032\u884c\u76f8\u95dc\u7684\u7814\u7a76\uff0c\u6b77\u5e74\u4f86\u524d\u5f80\u7684\u8001\u5e2b\u5982\u4e0b\uff1a<\/span><\/span><\/span><\/p>\n\n\n\n\n\n\n\n\n\n
\n

\u7de8\u865f<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u671f\u9593<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u8a2a\u554f\u5b78\u8005\u59d3\u540d<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

2007\/7~2007\/8<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u9673\u6021\u5982<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

2<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

2008\/7~2008\/8<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u9673\u9e97\u83c1<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

3<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

2009\/7<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u674e\u767e\u9748<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

3<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

2011\/4<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u8521\u5b97\u5112<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

4<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

2012\/7~2012\/8<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u674e\u767e\u9748\uff0c\u9673\u6021\u5982(Vivian)<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

5<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

2017\/7<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u5f35\u96c5\u6885<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.\u8303\u5fb7\u5821\u5927\u5b78\u6578\u91cf\u79d1\u5b78\u4e2d\u5fc3\u63d0\u4f9b\u8cc7\u6599\u7d66\u672c\u7cfb\u8a2a\u554f\u5b78\u8005\u9032\u884c\u76f8\u95dc\u7814\u7a76\uff0c\u5171\u540c\u767c\u8868\u5b78\u8853\u8ad6\u6587\uff0c\u6b77\u5e74\u4f86\u5171\u540c\u767c\u8868\u8ad6\u6587\u5982\u4e0b\uff1a<\/span><\/span><\/span><\/p>\n\n\n\n\n\n
\n

\u4f5c\u8005\u540d\u7a31<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u7bc7\u540d<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u671f\u520a\u540d\u7a31<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Lin, Kuo-Chin;<\/span><\/span><\/span><\/p>\n

Chen, Yi-ju;<\/span><\/span><\/span><\/p>\n

Shyr, Yu<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

A nonparametric smoothing method for assessing GEE models with longitudinal binary data<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

Statistics in Medicine 27(22), pp.4428-4439, 2008<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Pai-Ling Li;<\/span><\/span><\/span><\/p>\n

Jeng-Min Chiou;<\/span><\/span><\/span><\/p>\n

Yu Shyr<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

Functional data classification using covariate-adjusted subspace projection<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

Computational Statistics & Data Analysis 115, p.21-34, 2017<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

3.\u672c\u7cfb\u8058\u8acb\u77f3\u745c\u535a\u58eb\u64d4\u4efb\u8b1b\u5ea7\u6559\u6388\u56de\u53f0\u77ed\u671f\u6388\u8ab2<\/span><\/span><\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n
\n

\u7de8\u865f<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u6642\u9593<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u8ab2\u7a0b\u540d\u7a31<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

100\/12\/26~100\/12\/30<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u9032\u968e\u751f\u7269\u7d71\u8a08\u5728\u91ab\u5b78\u4e4b\u7814\u7a76<\/span><\/span><\/span><\/p>\n

(Advanced Biostatistics in Medical Researches)<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

2<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

102\/12\/23~102\/12\/27<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u9032\u968e\u61c9\u7528\u7d71\u8a08—-\u500b\u6848\u7814\u7a76<\/span><\/span><\/span><\/p>\n

(Advanced Applied Statistics with Case Studies)<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

3<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

106\/12\/19~106\/12\/23<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u9032\u968e\u6578\u64da\u79d1\u5b78\u8207\u5927\u6578\u64da\u5206\u6790<\/span><\/span><\/span><\/p>\n

(Advanced Data Science and Big Data Analysis)<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

4<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

108\/12\/23~108\/12\/27<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u9032\u968e\u751f\u7269\u7d71\u8a08\u8207\u5065\u5eb7\u8cc7\u6599\u79d1\u5b78<\/span><\/span><\/span><\/p>\n

(Advanced Biostatistics & Health Data Science)<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

5<\/span><\/span><\/td>\n110\/12\/24~110\/12\/30<\/span><\/span><\/td>\n\n

\u6a5f\u5668\u5b78\u7fd2\u8207\u9032\u968e\u751f\u7269\u7d71\u8a08\u61c9\u7528\u65bc\u5065\u5eb7\u8cc7\u6599\u79d1\u5b78<\/span>
\n(Machine\u00a0Learning\u00a0& Advanced\u00a0Biostatistics in\u00a0Health\u00a0Data\u00a0Science)<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

6<\/span><\/span><\/td>\n112\/12\/20~112\/12\/25<\/span><\/span><\/td>\n\n

\u9032\u968e\u751f\u7269\u7d71\u8a08\u5728COVID_19\u8cc7\u6599\u4e0a\u7684\u61c9\u7528<\/span>
\n(Advanced Biostatistics in Real-World Data with COVID-19 Research Examples)<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

6<\/span><\/span><\/td>\n114\/12\/17~114\/12\/21<\/span><\/span><\/td>\n\n

\u9032\u968e\u4eba\u5de5\u667a\u6167\u5728\u751f\u7269\u91ab\u5b78\u4e0a\u4e4b\u61c9\u7528<\/span>
\n(Advanced AI for Biomedical Research)<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

4.\u672c\u7cfb\u9080\u8acb\u77f3\u745c\u535a\u58eb\u56de\u6821\u9032\u884c\u5c08\u984c\u6f14\u8b1b<\/span><\/span><\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n
\n

\u7de8\u865f<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u6642\u9593<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u5c08\u984c\u6f14\u8b1b\u984c\u76ee<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

100\/12\/29<\/span><\/span><\/span><\/p>\n<\/td>\n

Meticulous Quantitative Sciences Integration: the\u00a0 Foundation of Drug <\/span><\/span><\/span>Approval in the Personal Genome Era<\/span><\/span><\/span><\/td>\n<\/tr>\n
\n

2<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

102\/12\/26<\/span><\/span><\/span><\/p>\n<\/td>\n

Sample Size Calculation Based on Exact Test for Differential Expression Analysis <\/span><\/span><\/span>of RNA-seq Data<\/span><\/span><\/span><\/td>\n<\/tr>\n
\n

3<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

106\/12\/20<\/span><\/span><\/span><\/p>\n<\/td>\n

Big Data and the Best Global Universities Rankings \u2013 What have we learned?<\/span><\/span><\/span><\/td>\n<\/tr>\n
\n

4<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

106\/12\/21<\/span><\/span><\/span><\/p>\n<\/td>\n

Data Science, Machine Learning and Artificial Intelligence (AI) <\/span><\/span><\/span>Are you ready to be a data scientist?<\/span><\/span><\/span><\/td>\n<\/tr>\n
\n

5<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

108\/12\/24<\/span><\/span><\/span><\/p>\n

(\u5927\u5e2b\u6f14\u8b1b)<\/span><\/span><\/span><\/p>\n<\/td>\n

AI, Machine Learning, and Novel Statistical Methods in Biomedical Research<\/span><\/span><\/span><\/td>\n<\/tr>\n
\n

6<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

112\/12\/21<\/span><\/span><\/span><\/p>\n

(\u5927\u5e2b\u6f14\u8b1b)<\/span><\/span><\/span><\/p>\n<\/td>\n

Challenges and Opportunities in Statistics and Data Science for Cancer Research<\/span><\/span><\/span><\/td>\n<\/tr>\n
\n

6<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

114\/12\/18<\/span><\/span><\/span><\/p>\n

(\u5927\u5e2b\u6f14\u8b1b)<\/span><\/span><\/span><\/p>\n<\/td>\n

Statistical Inference for F-Beta Scores to Design Reliable AI and Machine Learning Classifiers in Clinical Practice<\/span><\/span><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

5.\u5171\u540c\u8209\u8fa6\u5b78\u8853\u7814\u8a0e\u6703<\/span><\/span><\/span><\/p>\n\n\n\n\n\n
\n

\u7de8\u865f<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u6642\u9593<\/span><\/span><\/span><\/p>\n<\/td>\n

\n

\u7814\u8a0e\u6703\u540d\u7a31<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

1<\/span><\/span><\/p>\n<\/td>\n

\n

2008\/10\/3~2008\/10\/5<\/span><\/span><\/p>\n<\/td>\n

2008\u9ad8\u7dad\u5ea6\u8cc7\u6599\u5206\u6790\u5728\u751f\u7269\u7d71\u8a08\u8207\u751f\u7269\u8cc7\u8a0a\u4e4b\u61c9\u7528\u5c08\u984c\u7814\u8a0e\u6703<\/span><\/span>(2008 Biostatistics and Bioinformatics Workshop for High-Dimensional Data Analysis)<\/span><\/span><\/td>\n<\/tr>\n
\n

2<\/span><\/span><\/p>\n<\/td>\n

\n

2011\/3\/11~2011\/3\/12<\/span><\/span><\/p>\n<\/td>\n

2011\u61c9\u7528\u7d71\u8a08\u570b\u969b\u7814\u8a0e\u6703<\/span><\/span>(2011 International Conference on Applied Statistics)<\/span><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0 \u00a0 \u00a0\"\"\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

\u672c\u7cfb\u8207\u7f8e\u570b\u8303\u5fb7\u5821\u5927\u5b78(Vanderbilt University)\u751f\u7269\u7d71\u8a08\u5b78\u7cfb\u3001\u6578\u91cf\u79d1\u5b78\u4e2d\u5fc3(Center for Quantitative Sciences )\u9577\u671f\u9032\u884c\u76f8\u95dc\u5b78\u8853\u4ea4\u6d41\u6d3b\u52d5\uff0c\u5df2\u7d93\u9032\u884c\u7684\u5b78\u8853\u4ea4\u6d41\u5982\u4e0b\uff1a 1.\u672c\u7cfb\u8001\u5e2b\u5230\u8303\u5fb7\u5821\u5927\u5b78\u6578\u91cf\u79d1\u5b78\u4e2d\u5fc3\u64d4\u4efb\u8a2a\u554f\u5b78\u8005(Visiting Scholar)\uff0c\u9032\u884c\u76f8\u95dc\u7684\u7814\u7a76\uff0c\u6b77\u5e74\u4f86\u524d\u5f80\u7684\u8001\u5e2b\u5982\u4e0b\uff1a \u7de8\u865f \u671f\u9593 \u8a2a\u554f\u5b78\u8005\u59d3\u540d 1 2007\/7~2007\/8 \u9673\u6021\u5982 2 2008\/7~2008\/8 \u9673\u9e97\u83c1 3 2009\/7 \u674e\u767e\u9748 3 2011\/4 \u8521\u5b97\u5112 4 2012\/7~2012\/8 \u674e\u767e\u9748\uff0c\u9673\u6021\u5982(Vivian) 5 2017\/7 \u5f35\u96c5\u6885 2.\u8303\u5fb7\u5821\u5927\u5b78\u6578\u91cf\u79d1\u5b78\u4e2d\u5fc3\u63d0\u4f9b\u8cc7\u6599\u7d66\u672c\u7cfb\u8a2a\u554f\u5b78\u8005\u9032\u884c\u76f8\u95dc\u7814\u7a76\uff0c\u5171\u540c\u767c\u8868\u5b78\u8853\u8ad6\u6587\uff0c\u6b77\u5e74\u4f86\u5171\u540c\u767c\u8868\u8ad6\u6587\u5982\u4e0b\uff1a \u4f5c\u8005\u540d\u7a31 \u7bc7\u540d \u671f\u520a\u540d\u7a31 Lin, Kuo-Chin; Chen, Yi-ju; Shyr, Yu A nonparametric smoothing method for assessing GEE models with longitudinal binary data Statistics in Medicine 27(22), […]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"wp-custom-template-detail-4-page-2","meta":{"_uag_custom_page_level_css":"","footnotes":""},"acf":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"\u9ec3\u6dd1\u82ac","author_link":"\/stat\/?author=6"},"uagb_comment_info":0,"uagb_excerpt":"\u672c\u7cfb\u8207\u7f8e\u570b\u8303\u5fb7\u5821\u5927\u5b78(Vanderbilt University)\u751f\u7269\u7d71\u8a08\u5b78\u7cfb\u3001\u6578\u91cf\u79d1\u5b78\u4e2d\u5fc3(Center for Quantitative Sciences )\u9577\u671f\u9032\u884c\u76f8\u95dc\u5b78\u8853\u4ea4\u6d41\u6d3b\u52d5\uff0c\u5df2\u7d93\u9032\u884c\u7684\u5b78\u8853\u4ea4\u6d41\u5982\u4e0b\uff1a 1.\u672c\u7cfb\u8001\u5e2b\u5230\u8303\u5fb7\u5821\u5927\u5b78\u6578\u91cf\u79d1\u5b78\u4e2d\u5fc3\u64d4\u4efb\u8a2a\u554f\u5b78\u8005(Visiting Scholar)\uff0c\u9032\u884c\u76f8\u95dc\u7684\u7814\u7a76\uff0c\u6b77\u5e74\u4f86\u524d\u5f80\u7684\u8001\u5e2b\u5982\u4e0b\uff1a \u7de8\u865f \u671f\u9593 \u8a2a\u554f\u5b78\u8005\u59d3\u540d 1 2007\/7~2007\/8 \u9673\u6021\u5982 2 2008\/7~2008\/8 \u9673\u9e97\u83c1 3 2009\/7 \u674e\u767e\u9748 3 2011\/4 \u8521\u5b97\u5112 4 2012\/7~2012\/8 \u674e\u767e\u9748\uff0c\u9673\u6021\u5982(Vivian) 5 2017\/7 \u5f35\u96c5\u6885 2.\u8303\u5fb7\u5821\u5927\u5b78\u6578\u91cf\u79d1\u5b78\u4e2d\u5fc3\u63d0\u4f9b\u8cc7\u6599\u7d66\u672c\u7cfb\u8a2a\u554f\u5b78\u8005\u9032\u884c\u76f8\u95dc\u7814\u7a76\uff0c\u5171\u540c\u767c\u8868\u5b78\u8853\u8ad6\u6587\uff0c\u6b77\u5e74\u4f86\u5171\u540c\u767c\u8868\u8ad6\u6587\u5982\u4e0b\uff1a \u4f5c\u8005\u540d\u7a31 \u7bc7\u540d \u671f\u520a\u540d\u7a31 Lin, Kuo-Chin; Chen, Yi-ju; Shyr, Yu A nonparametric smoothing method for assessing GEE models with longitudinal binary data Statistics in Medicine 27(22),…","_links":{"self":[{"href":"\/stat\/index.php?rest_route=\/wp\/v2\/pages\/16550"}],"collection":[{"href":"\/stat\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"\/stat\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"\/stat\/index.php?rest_route=\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"\/stat\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16550"}],"version-history":[{"count":8,"href":"\/stat\/index.php?rest_route=\/wp\/v2\/pages\/16550\/revisions"}],"predecessor-version":[{"id":34213,"href":"\/stat\/index.php?rest_route=\/wp\/v2\/pages\/16550\/revisions\/34213"}],"wp:attachment":[{"href":"\/stat\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16550"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}