The code block below illustrates how one might use # and // as comments in your logic and calculations.
# Text can be put here to explain what the logic/calculation does and why.
if ([field1] = '1' and [field2] > 7,
// This comment can explain what the next line does.
[score] * [factor],
// Return '0' if the condition is False.
0
)
Working...
0% means
50% means
100% means
This value you provided is not a number. Please try again.
This value you provided is not an integer. Please try again.
The value entered is not a valid Vanderbilt Medical Record Number (i.e. 4- to 9-digit number, excluding leading zeros). Please try again.
The value you provided must be within the suggested range
The value you provided is outside the suggested range
This value is admissible, but you may wish to double check it.
The value entered must be a time value in the following format HH:MM within the range 00:00-23:59 (e.g., 04:32 or 23:19).
This field must be a 5 or 9 digit U.S. ZIP Code (like 94043). Please re-enter it now.
This field must be a 10 digit U.S. phone number (like 415 555 1212). Please re-enter it now.
This field must be a valid email address (like joe@user.com). Please re-enter it now.
The value you provided could not be validated because it does not follow the expected format. Please try again.
Required format:
CBRaAPvo9Gs4mUPdDXh
TriNetX Training Sign-Up
AAA
Please sign up for a TriNetX training course here.
If you are signing up for multiple courses, you will need to sign up for each course individually.
Please note that if you are interested in the Analytics training, you must either already have a TriNetX Account or sign up for the "TriNetX Training" course first.
Registration is limited to 8. If a session is 'greyed out' it means the registration limit has been met.
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Agenda:
What is the analytics toolset?
Review cohorts to use
Explore options within analytics through examples
Discuss ways this would be useful for research questions
Session Info:
TriNetX Analytics
TriNetX Analytics is a new functionality within the TriNetX toolset. You will be able to explore and compare cohorts, review cohort characteristics and compare outcomes of interest.
We will demonstrate how to use these tools and give examples on best practices for when to use these different measures.
After this training you will have a basic understanding of the Analytics toolset and how it can be applied to research questions for your studies.
Agenda:
What is TriNetX
Build cohort example
Explore options for additional information around cohorts
Discuss next steps and how to get data
Session Info:
TriNetX Training
This training will provide an in depth look at TriNetX and show you how to use the tool. We will go through building a study, searching for a specific population, and finally what information you gather from the specific cohort. We will also discuss next steps on getting data extracted for research.
After this training you will have a thorough understanding of how to use TriNetX and what the process is to get data extracted for research studies.
