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Course Catalog

Below are topic or subject areas taught by the NIH Library. Click the topic to see a list of upcoming classes or other related content. To view our full training catalog, visit the library training calendar. We are open to your feedback and suggestions related to our training program. Please suggest a class if you do not see it listed.

NIH Library classes are taught in-person in the NIH Library training rooms, Building 10, Clinical Center, near the South Entrance or virtually. In addition to classes, self-paced online tutorials are available.

 

  • This one-hour online training, provided by a presenter from SAS, will review general best coding practices for SAS 9.4 that, when processing large data, will speed up performance.   

    By the end of this training, attendees will be able to:     

    • Identify best practices in using PROC SQL and DATA Step in working with large data 

    • Discuss best practices for when the data is in external data sources 

    Attendees are expected to have some working experience with SAS 9.4 or to have attended an introductory SAS class, such as SAS® Programming 1: Essentials.    

    Training Category: Data Services
  • This one-hour online training in the NIH Library Evidence Synthesis Review series provides an overview of the reporting guidelines used for writing your review manuscript including how to structure the manuscript and select an appropriate journal for submission. 

    By the end of this training attendees will be able to: 

    • Understand the importance of using a guideline for writing the review 

    • Identify reporting guidelines used for reviews 

    • Explain the importance of following the PRISMA checklist  

    • Describe the purpose of the PRISMA flow diagram 

    • Name ways to identify a potential journal to submit your manuscript 

    • List key items to include in your supplemental materials 

    Attendees are not expected to have prior knowledge of how to conduct a review.  It is recommended that those planning to undertake a review, should register for the Evidence Synthesis series that take a deeper dive into the required methods for each step in a review.