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hello everybody and welcome 20 episode of learning about the seer database I was surfing the seer website looking for ideas to introduce the theme of frequency to you in this video and I couldn't find a better illustration than this paragraph that that is shown to you this paragraph is about the percent of deaths by age group for female breast cancer and this is for the year 2010 to 2014 in the US and it's giving us an estimation that the percentage of female breast cancer deaths is highest among women aged 55 to 64 so we are talking about this column here from 55 64 is 22 percent which is the highest among the percentages of cancer deaths in female breast cancers from 2010 to 2014 in the u.s. in this video we're going to show you how they got to this number so don't go anywhere [Music] [Music] in order for you to gain the maximum benefits of this video you have to watch the previous videos that we have issued on learning about the CEO database in the following order episode 1 episode 2 episode 3 the examples link to episode 3 and episode 6 this is the only way you're going to maximize your benefits from this video so now we are in the seer stat software and we're going to like reverse engineer how they reach that 22% cancer deaths for female breast cancer we're going to enter into the we're going to choose the frequency session so inside the frequency session we're going to choose the latest registry which is the seer 18 registry from 1973 to 2014 since we are searching for breast cancer cancer deaths from 2010 to 2014 so this should be like the most appropriate interval to choose and the statistics tab we're going to choose the frequencies and we're going to choose percentages we're going to put percentages as column variables Y column variables we're going to to tell you this when we reach the table tab in the selection tab we're going to choose females with breast cancer in the chosen interval so we're going to choose the site of morphology the site and recode and we're going to scroll down to reach the breasts so this is the breasts okay we're going to choose okay but the cancer breast can occur in females and males so we're going to refine our research we are going to refine the search because breast cancer can occur in males and females so we're going to choose edit and the race and sex variables we're going to choose sex and we're going to make the sex equals to female and we're going to click ok so we have female breast cancer and the next thing is we're going to choose the interval so we're going to click Edit we are going to choose the ear diagnosis from this variables of the youth diagnosis and we are going to scroll down until you reach 2010 to 2014 so that is 2010 we hold shift and choose 2014 and we're there so this is the court that we want to to choose to apply our statistics upon so you should be wise putting your variables between the row of the row section and the colon section so since the age of diagnosis or the age REE codes are very numerous it's like like five year intervals from from the first year of life till about 85 years so we can put these in the row section so we will choose the age recode and then we'll put it into the row section and [Music] for the for the cause of death we will open this and we will choose the seer cause specific death classification and we were going to we are going to put it in the column variable so this should be the final orientation of the table and the output we're going to give it give it the table a name so we're going to rename it the breast cancer deaths by age groups and we are going to execute so that's that's the resulting matrix and we should take a very good look at this table so first we should like define the variables so the row variables are age groups it's it's divided into many many age groups starting from less than one year of age one to four years old five to nine years old ten to fourteen years old etc till till about eighty-five plus years and in the column variables we have the classifications or the levels of what is known as the specific cause of death of cancer so it's either alive or dead of another cause or dead attributable to this cancer diagnosis or it is not applicable because it's not the first tumor it's like the second or third or fourth of many many other tumors so what we really are concerned about is this section of the table this section which is concerned with death which is attributable to this cancer diagnosis if we go back to the graph that we have demonstrated to you in the beginning of this video you will find that they are saying that 22% of deaths that are related to female breast cancer happen in the age groups between 55 and 64 years of age so let's apply this to the table that we have we have shown up using the seer stat software in the seer stat software matrix we are only concerned with this section we are only concerned with dead people deaths attributable to this cancer diagnosis so these are the counts these are how many patients died and these are the column percentages and these are the cumulative percentages column percentages are calculated by dividing the count by the total number of deaths that is attributable to this cancer diagnosis the cumulative percentage is calculated by dividing the cumulative count so so in the column percentage we are just dividing this number by this number but in the cumulative percentage we are adding this Plus this Plus this Plus this Plus this Plus this Plus this Plus this Plus this and getting the total amount and then dividing it by the total number of deaths that are attributable to this cancer diagnosis so now we are demonstrating how to get this this percentage so in in the seer stat software we are going to highlight the interval that has represented it in the graph here so we are talking about the interval between 55 years of age and 64 years of age so so these are this is the interval that is represented here if we calculate the accounts of people who have died in relation to the diagnosis of female breast cancer so if we add these two numbers and then divided the the result of the addition of those two numbers by the total number of deaths that are attributable to this cancer diagnosis this will give us an approximate value of 22 I hope you have fully understood how how to calculate the percentages of cancer deaths stratified by any other variable using the seer stat software and if you find this example easy to understand then please give us your opinion in the comment section below if you need more example to understand how to calculate the percentages of cancer deaths using the seer software please also mention that in the comment section below your feedback is very important to us we will also leave you this practice question in order to test your knowledge of the methodology that we have shown you so far so using the CRA teen registry from 1973 to 2014 please comment below with the percentage of cancer deaths in females diagnosed with stomach cancer between 2004 and 2010 if you have found this tutorial to be a value please hit the like button share this video with your friends and subscribe to my channel in order not to miss more valuable tutorials thank you very much and see you next time [Music] [Music] [Music]