带子
发表于 2025-3-30 08:48:28
http://reply.papertrans.cn/87/8692/869176/869176_51.png
Intend
发表于 2025-3-30 15:21:50
http://reply.papertrans.cn/87/8692/869176/869176_52.png
Firefly
发表于 2025-3-30 18:16:52
http://reply.papertrans.cn/87/8692/869176/869176_53.png
漫步
发表于 2025-3-30 21:51:48
http://reply.papertrans.cn/87/8692/869176/869176_54.png
JIBE
发表于 2025-3-31 02:23:49
Dibakar Chakrabarty,Chandrasekhar Chanda time-friendly.The book is multipurpose, (1) an introduction.The amount of data medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional data analysis has difficulty to identify outliers and patterns in big data and data with multiple exposure / outc
Chipmunk
发表于 2025-3-31 07:30:42
Hidetoshi Inagaki time-friendly.The book is multipurpose, (1) an introduction.The amount of data medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional data analysis has difficulty to identify outliers and patterns in big data and data with multiple exposure / outc
符合规定
发表于 2025-3-31 10:46:02
Alexey V. Osipov,Yuri N. Utkin time-friendly.The book is multipurpose, (1) an introduction.The amount of data medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional data analysis has difficulty to identify outliers and patterns in big data and data with multiple exposure / outc
incisive
发表于 2025-3-31 17:13:15
http://reply.papertrans.cn/87/8692/869176/869176_58.png
名字的误用
发表于 2025-3-31 18:38:12
Yazine Mahjoub,Stéphanie Malaquin,Frédéric Ducancelculty to identify outliers and patterns in big data and data with multiple exposure / outcome variables and analysis-rules for surveys and questionnaires, currently common methods of data collection, are, essentially, missing. Consequently, proper data-based health decisions will soon be impossible.
Affectation
发表于 2025-3-31 23:17:51
Choo Hock Tan,Nget Hong Tan time-friendly.The book is multipurpose, (1) an introduction.The amount of data medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional data analysis has difficulty to identify outliers and patterns in big data and data with multiple exposure / outc