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Thank you folks for everyone who is joining, um, I'd like to just give a few quick tips on using Webex and the Webex logistics. All lines will be muted on entry. Please submit your comments in chat using the Q and a, and chat panel and select all panelists. You may need to activate the appropriate panel using the menu found in the lower center of your screen. A closed captioning link will be available. Momentarily. Within the chat panel, please click on that. If you do need to closed captioning. Please note this webinar is being recorded. And we'll be posted online at a later date, we will be demoing some software. So if you have any issues seeing the screen, please select the plus and minus signs. Um, and they can zoom in and zoom out Thank you. And with that, I will pass it over it to not Nadia. How ladder. Um, thank you, Jennifer. Uh, welcome everybody. Uh, today I'll be talking to you about here and see your overview, um, quickly. Uh, I wanted to introduce myself. My name is Nadia. How letter? I'm, um. Epidemiologists and a statistician in the surveillance research program, which houses the and data. Hello. Slide is not advancing, but let me try something. There you go here is an outline of the topics we are going to cover today. 1st I'm going to start. With an introduction to steer, and some examples of analysis using this year, uh, data. Then I'll hand it over to Steve scope and Don green from the, and they will be talking about your step overall, and give a give a demo of the software, which we use to analyze the data. Very briefly, senior mission is to support research on cancer diagnosis, treatment and outcomes and we have been doing that since 1973. you'll see that the data that we make available for research use begins actually, from 75 as opposed to 73 for consistencies of data across registries. The main mission of is to provide baseline data on us cancer incidents and survival trends. These are population based registries representing almost about a 3rd of the U. S. population. And currently we capture information over half a 1Million incident cancer cases annually. Data quality is an important part of keeping data consistent and here, there's a lot of quality control work to produce a reliable and high quality source for cancer statistics, the North American Association of cancer, central cancer registries macer briefly issues certifications for data qualities for different registries. For example, some of the factors or criteria they use for determining whether it registries high quality or not are factors such as whether case entertainment was 95% or higher completeness. Very few cases should be. Reported from death certificate data, only so less than 3%, or so cases should come from death certificates. Because if we have a lot of cases from death certificates, we obviously will not have...