找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Snake Venoms; P. Gopalakrishnakone,Hidetoshi Inagaki,Carl-Wilhel Living reference work 20200th edition

[复制链接]
楼主: 军械
发表于 2025-3-30 08:48:28 | 显示全部楼层
发表于 2025-3-30 15:21:50 | 显示全部楼层
发表于 2025-3-30 18:16:52 | 显示全部楼层
发表于 2025-3-30 21:51:48 | 显示全部楼层
发表于 2025-3-31 02:23:49 | 显示全部楼层
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
发表于 2025-3-31 07:30:42 | 显示全部楼层
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
发表于 2025-3-31 10:46:02 | 显示全部楼层
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
发表于 2025-3-31 17:13:15 | 显示全部楼层
发表于 2025-3-31 18:38:12 | 显示全部楼层
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.
发表于 2025-3-31 23:17:51 | 显示全部楼层
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
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-20 14:11
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表