蒙特卡洛算法SAS程序（Monte Carlo method），也称统计模拟方法，是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明，而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数（或更常见的伪随机数）来解决很多计算问题的方法。

sas教程的PDF版，由浅及深，适合入门的新手学习，从软件安装到实例代码都有。

SAS (Serial Attached SCSI) is the serial storage interface that has been designed to replace and upgrade SCSI, by far the most popular storage interface for high-performance systems for many years. Retaining backward compatibility with the millions of lines of code written to support SCSI devices, SAS incorporates recent advances in high-speed serial design to provide better performance, better reliability and enhanced capabilities, all at a lower cost. SAS will be a significant part of many future high-performance storage systems, and hardware designers, system validation engineers, device driver developers and others working in this area will need a working knowledge of it. SAS Storage Architecture provides a comprehensive guide to the SAS standard. The book contains descriptions and numerous examples of the concepts presented, using the same building block approach as other MindShare offerings. This book details important concepts relating to the design and implementation of storage networks. Specific topics of interest include: SATA Compatibility Expander devices Discovery Process Connection protocols Arbitration of competing connection requests Flow Control protocols ACK/NAK protocol Primitives construction and uses Frames format, definition, used of each field Error checking mechanisms Description of responsibilities for each layer: Application layer mode and log pages Transport Layer frame construction Port Layer call center model Link Layer establish and maintain connections Phy Layer OOB, Initialization, and Reset Physical Layer connectors and cables Serial Support serial transmission support requirements The future of SAS competition with SATA and Fibre Channel in the server marketplace

不同统计软件总有自己的优势与劣势，而我们数据工作者往往以一款软件为主，并辅以其他软件。然而，数据的格式转换有时确实令人头疼。因此开发出一款软件，可以在目前34种数据软件格式间自由转换，而这款软件就是Stat/Transfer（统计/转换器）

数据分析方法梅长林 范金城 编习题答案及习题数据 各章word文档 各章例题之SAS程序 各章习题数据

小白学SAS 完整版

北京大学李东风老师《统计软件教程》的电子版。内容包括SAS/INSIGHT使用、SAS语言基本概念、SAS的一般高级语言功能、SAS宏介绍、数据步的数据管理、常用过程、常用统计分析过程、多元统计分析、R语言介绍。

SAS EG官方文档，介绍了SAS EG可视化界面工具的使用方法

SAS公司的官方文档。英文，有图，比较好理解。

SAS Programming in the Pharmaceutical Industry, Second Edition by Jack Shostak English | 2014 | ISBN: 1612906044 | 308 pages | PDF | 14 MB This comprehensive resource provides on-the-job training for statistical programmers who use SAS in the pharmaceutical industry. This one-stop resource offers a complete review of what entry- to intermediate-level statistical programmers need to know in order to help with the analysis and reporting of clinical trial data in the pharmaceutical industry. SAS Programming in the Pharmaceutical Industry, Second Edition begins with an introduction to the pharmaceutical industry and the work environment of a statistical programmer. Then it gives a chronological explanation of what you need to know to do the job. It includes information on importing and massaging data into analysis data sets, producing clinical trial output, and exporting data. This edition has been updated for SAS 9.4, and it features new graphics as well as all new examples using CDISC SDTM or ADaM model data structures. Whether you're a novice seeking an introduction to SAS programming in the pharmaceutical industry or a junior-level programmer exploring new approaches to problem solving, this real-world reference guide offers a wealth of practical suggestions to help you sharpen your skills.