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Your step-by-step guide — fax populated age
Using airSlate SignNow’s eSignature any business can speed up signature workflows and eSign in real-time, delivering a better experience to customers and employees. fax populated age in a few simple steps. Our mobile-first apps make working on the go possible, even while offline! Sign documents from anywhere in the world and close deals faster.
Follow the step-by-step guide to fax populated age:
- Log in to your airSlate SignNow account.
- Locate your document in your folders or upload a new one.
- Open the document and make edits using the Tools menu.
- Drag & drop fillable fields, add text and sign it.
- Add multiple signers using their emails and set the signing order.
- Specify which recipients will get an executed copy.
- Use Advanced Options to limit access to the record and set an expiration date.
- Click Save and Close when completed.
In addition, there are more advanced features available to fax populated age. Add users to your shared workspace, view teams, and track collaboration. Millions of users across the US and Europe agree that a solution that brings everything together in a single holistic enviroment, is what enterprises need to keep workflows working smoothly. The airSlate SignNow REST API allows you to integrate eSignatures into your app, internet site, CRM or cloud storage. Check out airSlate SignNow and get faster, easier and overall more efficient eSignature workflows!
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Fax populated age
let's do a review of age adjusted old population from the two points two populations of comparison in this we have hospital a and Hospital B there are two age groups less than 50 and greater than 50 years of age we have deaths patients and then the death rate per 1000 so in these two hospitals first we're going to look at the crude mortality and we take then the number of deaths over the total number of patients and we get a crude rate of 40 per 1000 in hospital B it's also 60 over 1,500 for a crude rate of 40 per 1000 but when you look at the age specific mortality as it's given here which in the less than 50 age group would be 10 over 500 for 20 per thousand and 30 per thousand for 30 per thousand then you see for both age groups at hospital B is higher than hospital a making us wonder if they have higher mortality rates and if the crude mortality rate is actually then reflecting what's going on so we want to calculate it do a direct age adjustment of the crude rates to compare the mortality to see if the difference is due to age adjustment might go away this is the same table I had in the previous slide but now I've added on a bit here to begin the age adjustment the first thing I'm going to do is create my standard population in this case I'm calling it a pooled population and I take the total number of patients in hospital a total number Haitians of hospital B pull them together for a total of 3,000 now I know that there's 500 and in it and then the pool group then less than 50 years of age I know that there's 500 plus a thousand so there's 1500 in the age group of the pool under 50 years of age and there's 1500 in the age group greater than 50 now when I look at the proportion of the population the total pooled population that is in each age group I see that it's half and half so 50% or 0.5 is the weight of the age group or the proportion of the population that's in each age group of the total I've carried the death rate the age specific rates over here just to make it easier to see so this age specific rate of 20 is here and I take the weight of the age group times the rate for hospital a to come up with a rate adjust at hospital a of 10 so the weight of 5 times the 20 deaths per 1000 is 10 for Hospital B 0.5 times 30 is 15 for the older age group point 5 times 50 is 25 point 5 times 60 is 30 by then some thus columns to add the total age adjusted mortality they have one measure that reflects the overall mortality experience and in this case then it's 35 compared to 45 so a hospital B has a higher age adjusted mortality rate I could have used as a pool as a as the standard the year 2000 population from the US Census and I would have had to divide the census data by these two age groups to make it comparable so even though the crude mortality rates are the same hospital B has an older population as we were able to see and it's crude mortality rate is higher
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