What kind of Excel formula or data analysis to use in a statistical study? Example included?
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I'm making a study about whether the more surgery you get, the higher the mortality rate is (on a specific disease). here is the data first column: number of interventios (surgery) that patients went through: values are 1, 2, 3, 4 second column: number of patients that went through those interventions: values are 27, 9, 3, 1 third column: how many died after they underwent respectively 1, 2, 3, or 4 interventions: values are 9, 4, 2, 0. So the one guy that went through 4 interventions did not die, 27 went through 1 intervention and out of these 9 died, etc. All I want is to find what corelation is between the number of interventions and the mortality rate. Pls help, I suck at math, but I can find my way around in excel (I can find a function etc, but I have no ideea what it does).
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Answer:
12790.333333333 2940.444444444 3320.666666667 4111 These are in Columns A to D rows 1 to 4 Made a new cell with =Correl(A1:A4,D1:D4) And -0.361478446 is the answer. However, THIS IS AN INAPPROPRIATE MEASURE OF ANY RELATIONSHIP I just thought i would point that out. The sample sizes in the bottom two are too small. As well it is an inappropriate model. Consider if you ignored the case with 4 interventions who did not die. =CORREL(A1:A3,D1:D3) 0.981980506 See how much it changes? This is not a good method. You need to do something else. I suggest regrouping. EDIT also if you change the value in 4 interventions to 1 you get a correlation of 0.975900073. You may even want to omit that data.
Paul C at Yahoo! Answers Visit the source
Other answers
First of all, you must understand that this sample size in each number of interventions is too small to make any statistical conclusions with a high probability of being right. Minimum sample size for each intervention should be 30. And, you should have a minimum of 30 diff readings of death and number of interventions. If you still want to go ahead and do it, then add solver tools and run a regression with these values.
DG
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