Can someone interpret my STATA survival output?
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Title: How to interpret STATA output from a survival analysis In the previous section, I showed you how to run a Cox proportional hazard model (PHR) to analyze a dataset using R (R: Statistical software) and Stata (Statistical software). But, sometimes, when we run the Cox PH analysis, we need to know how our result will come out. In such cases, we can interpret the data with some help from STATA. The STATA code I used is “` // PRO
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Hey, it’s been a while. I would like you to interpret the STATA survival output of my sample dataset. learn the facts here now I have attached the data to your email. I was wondering if it would be possible for you to interpret the results in your own words. I would appreciate it if you could let me know what conclusions you think the results draw regarding my hypothesis. Can you make a paragraph about that for me, please? (Include a direct quote from your sample dataset, so we know the context, and highlight important aspects of it)
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The STATA software is used widely to study longitudinal data, and is a great tool for conducting survival analyses. But how well does it do? I recently analyzed a dataset that used STATA, and found that it had some serious issues when it came to interpreting the results. The main problem is that it doesn’t handle continuous variables well. When we had categorical variables, we could use the CATEGORICAL function, but when we had continuous variables, we couldn’t. When we wanted to make a simple survival analysis on
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This is a STATA output report I generated. Here’s the interpretation: For surviving 1501 individuals in a group of 3000 randomly selected by age and gender, the mean time of being surviving is 2.55 years. The most significant factors in increasing the survival time are age and gender: 1. Age and gender: The mean survival time of 2 years decreased by 0.43 years when the age falls below 60 years, and increased by 1.15
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“When I received the STATA output of a survey study, I could not wait to see the results. My first thought was, could the results be wrong? In all honesty, the results were what I expected: there was an increase in the mortality rate in the first 10 years after an emergency cardiac surgery, and a decrease in the mortality rate at all years. So I am very happy. I wrote this response to the results of a survey study because I really think you need to know the truth, regardless of what you expect to see. So,