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Statistical Tools
Statistical Tools and Resources

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Cardio Thoracic Intensive Care Unit Nosocomial INFECTION INCIDENCE DENSITY Evaluation and management of clinical issues in the care of post open heart surgery patients
Hello everyone,If there are any SPSS or SAS users out there, there is a good tutorial on switching to the R environment attached. There is also a book on this, which is much longer and more in-depth than the attached pdf. For those of you who may not know, R is a free software environment that lets you do an extremely wide variety of statistical calculations. It has a rapidly growing number of users (probably because it is free!) and can do many things that even SAS and SPSS have a hard time doing (without complex macros at least). I havent figured out exactly how to use it yet, but I am just starting to learn. If anyone has any good tools, I please share! You can also download R from this website (works for Mac too!): http://www.r-project.org/ (http://www.r-project.org/) Enjoy!
Hello again, interested parties!Here is an excel file with a number of different statistical calculators I created.1) 2x2 table - creates p-value for chi-squared test, Odds ratio and 95% CI, Risk Ratio (Relative Risk) with 95% CI and expected values to see if you need to use Fisher's Exact test instead. Use this to find associations between two dichotomous variables (i.e. Mortality and MRSA).2) 3x2 table - p-value for chi-squared test of a 3x2 table - use this is one of your groups has 3 categories.3) Diagnostic Tests - creates sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, pre-test odds, post-test odds, pre-test and post-test probilities. 4) Reliablility - computes a kappa statistic for measuring the agreement between two reviewers. For example if two people read multiple x-rays and you want to see if the results of the readings are in agreement between the two parties, you can use this.5) Z-score - not often used but use this if you want to see the difference between two rates (be careful). It computes a Z-score which you then look up in the table to see the p-value. I have attached an article that shows you more about this in infection control (I used their formula from page 6).Enjoy!Timp.s. if you want anything else, let me know and ill see what I can do!
Hello again, interested parties!Here is an excel file with a number of different statistical calculators I created.1) 2x2 table - creates p-value for chi-squared test, Odds ratio and 95% CI, Risk Ratio (Relative Risk) with 95% CI and expected values to see if you need to use Fisher's Exact test instead. Use this to find associations between two dichotomous variables (i.e. Mortality and MRSA).2) 3x2 table - p-value for chi-squared test of a 3x2 table - use this is one of your groups has 3 categories.3) Diagnostic Tests - creates sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, pre-test odds, post-test odds, pre-test and post-test probilities. 4) Reliablility - computes a kappa statistic for measuring the agreement between two reviewers. For example if two people read multiple x-rays and you want to see if the results of the readings are in agreement between the two parties, you can use this.5) Z-score - not often used but use this if you want to see the difference between two rates (be careful). It computes a Z-score which you then look up in the table to see the p-value. I have attached an article that shows you more about this in infection control (I used their formula from page 6).Enjoy!Timp.s. if you want anything else, let me know and ill see what I can do!
Hey everyone -Here is an excel file with some control chart templates. I did create them myself, although they may look quite similar to some other programs out there. They are still in beta testing, but I will be uploading new versions as any errors get fixed. If you have any recommendations of things to add, let me know and Ill see what I can do.Tim

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