This post is to talk about how to compare two paired areas under ROC curves(AUC) for diagnostic accuracy by non-inferiority test.
If you often work with data manipulation, obviously you need to know how to merge and transpose data as that is very common in our data processing.
Selecting N rows from a dataset or K-th element from a macro variable is a common data manipulation process. This post is listing the ways how to resolve these questions.
Handling the duplicates and missing values in data manipulation is a very common process. This post is taking a few examples to list how to accomplish it from a datasets in SAS.
This post is talking about how to display descriptive statistics for variables quickly. In the sense that we would like to know an usual and agile way to accomplish it in SAS.
Sometimes we would want to list column names of a SAS dataset, which can be useful in other programs, such as
Standing up a flag here, I'm planning to keep a series of notes to minute my questions met in sas learning. Practice is the best teacher, practice makes perfect!
Assume that you
input a character string
20211109 with a sas format like
yymmdd8. that specifies how sas must interpret the character string, you will get a numeric number
This is reference to the "Chapter 8 A graphical compendium" in <SAS and R: Data Management, Statistical Analysis, and Graphics (second edition)>.
I believe that the capability of data science is more than just building predictive models, data visualization is also an integral part, especially in a convincing way.
This is reference to the "Chapter 3 Statistical and mathematical functions", "Chapter 4 Programming and operating system interface" and "Chapter 5 Common statistical procedures" in <SAS and R: Data Management, Statistical Analysis, and Graphics (second edition)>.
This is reference to the 2.3 section of Data management and 2.4 Date and time variables in <SAS and R: Data Management, Statistical Analysis, and Graphics (second edition)>.
处理数据，常见的不外乎combination, collation, and subsetting
This is reference to the 2.1 to 2.2 section of Data management in <SAS and R: Data Management, Statistical Analysis, and Graphics (second edition)>.
我一直想找一个合适的方法来记录SAS的学习笔记，最好能结合以往的编程经验（如R or Python）；我想到了当初学习Python的时候是根据实际需要，结合R/Perl的既往经验来互补学习，那么SAS也是可以这样。
What is Git?
Git is a version control system used to track changes in computer files. Git's primary purpose is to manage any changes made in one or more projects over a given period of time. It helps coordinate work among members of a project team and tracks progress over time. Git also helps both programming professionals and non-technical users by monitoring their project files.
What is Gitlab?
GitLab is a web-based Git repository that provides free open and private repositories, issue-following capabilities, and wikis. It is a complete DevOps platform that enables professionals to perform all the tasks in a project—from project planning and source code management to monitoring and security. Furthermore, it allows teams to collaborate and build better software.
This post is the reading notes for the e-book “SAS Programming in the Pharmaceutical Industry” to keep recording some knowledge points about pharma programming.
I have a strong interest in data visualization. For me, the purpose to learn this skill is driven by having a good understanding and examination for the question one wants to solve.
It is not to be denied that sas is an essential skill for statistical programmers in the pharma field. Of course sas is a programming language which can be derived to different using requirements in different fields. So I think we should follow the actual requirements in the pharmaceutical industry to learn SAS if you want to be a qualified statistical programmer. Therefore the purpose of this post is to record some actual applications by sas so that I can understand and remember sas syntax clearly.