ANALYSIS LENGHT OF STAY AND TOTAL CHARGES

Hi, I have served in data analysis, analytics, survey data analysis and quantitative market research for 3 years.I am proficient in statistical soft wares such as SPSS, SAS (SAS Certified base programmer),R Excel and in PowerPoint and Word and in univariate and multivariate techniques such as T-Test, Chi-Square test, ANOVA, GLM, MANOVA, Regression analysis, Logistic regression, CHAID analysis, Factor analysis, Cluster analysis, Discriminant analysis and Statistical Modeling. Looking forward to hearing from you Regards Manoj

Hi I have around 8 years of experience of SAS and i have SAS software available on my disposal. You can let me know more details of the project and we can have small discussion on this. Thanks Vaibhav

I have a great deal of experience transforming data using SAS and finding insights. This is actually a huge part of what a do for my day job as a business intelligence analyst. I have an excellent ability to clean data using statisically sound practices, and I am able to make clean and compelling presentations of insights. From the way you describe the data, I believe this is an easy request, and I think you will be impressed with my ability to understand the data and deliver results in just a few hours

A proposal has not yet been provided

I have a Masters degree in Health Economics and Outcomes Research (HEOR) from University of Arkansas for Medical Sciences, and 8+ years of experience working on HEOR projects for pharmaceutical clients. My research has been published in many journals and been presented in scientific conferences. I work as an independent contractor for pharma/consulting companies based in the US and Europe. I typically work with big insurance claims databases to study outcomes. Given that your data is small and assuming LOS and TCHGS have already been calculated, I believe you need help in conducting regression analysis and identifying statistically significant factors. I recommend using Proc Genmod with Poisson distribution for LOS and gamma distribution for cost, with log link.

A proposal has not yet been provided

Read the data set based on length or delimiter. Sum up the needed fields(here LOS and TCHGS) using PROC MEANS for unique patients condition. Write the output in the presentable format as proposed by viewers.