Help with SAS - Non-parametric bootstrap to estimate the 'coefficient of variation' of a dataset
£20-250 GBP
Closed
Posted over 6 years ago
£20-250 GBP
Paid on delivery
Below is the outline of what I need to do for a mock coursework assignment at University. There are a few more notes to help if you accept the assignment plus a dataset.
This is the scenario:
Whilst working on a foot ulcer trial application as a medical statistician, a colleague asks you to
provide assistance in designing a surgical trial in colorectal cancer. A surgeon has
approached your department for help with an application for a trial looking at
changes in patient weight before and after a surgical procedure.
In the consultancy session, the discussion turned to some datasets from a trial of surgical
techniques for colorectal cancer that you have previously worked on, so this data could help inform the design of your colleague’s trial. However, the discussion concluded that the key parameter is the COEFFICIENT OF VARIATION (CV) of the patients’ Body Mass Index (BMI). To complicate matters, your colleague needs you to provide the CV for your data, but also a
plausible range of values that the CV could take.
The CV is defined as the standard deviation divided by the mean. An expression for
the distribution of a CV is not straightforward. While SAS can provide a standard
error and confidence interval for the mean of observations, a variance or standard
error for the CV is not available by default.
In situations where you need to know the distribution of a parameter, and cannot easily obtain this analytically, you can use computationally-intensive methods to simulate a possible distribution based on the underlying data. One such approach is the non-parametric bootstrap using PROC SURVEYSELECT. A call to PROC SURVEYSELECT would look something like this:
proc surveyselect data=<DATASET> out=<DATASET>
<sampsize=...> <method=...>
<other options>
run;
Task
You need to implement a non-parametric bootstrap to estimate
the CV of BMI for patients in your workshop dataset.
You need to choose the PROC SURVEYSELECT options to ensure that this procedure correctly performs the non-parametric bootstrap to analyse the results in each sample.
You must:
1) Estimate the Coefficient of Variation of the Body Mass Index of the patients in
the baseline dataset. You will need to first derive the BMI for the patients in your baseline dataset;
2) Using SAS, implement the non-parametric bootstrap using PROC
SURVEYSELECT as described above to draw a suitable number of bootstrap
samples from the baseline dataset;
3) Include one or more PROC steps to summarise the results of your
simulations, so that your colleague can investigate the impact if the true value
is in a plausible range of values.
4) Provide your SAS code and the full SAS Output to show what was produced.
1-2 sides of A4 incl. comments - each step must have a comment explaining what you have done
Submit your SAS code as a SAS code file, or paste the code into Word. You
should also save your plain text output OR your HTML output and include that
Use size 10pt Courier typeface, and single line spacing, as the text
appears in SAS.
Readable code is important as well as my being able to reproduce your output from the code provided.
I did tons of such projects, have 2 SAS certificates.
Relevant Skills and Experience
Recently I successfully finished more than 80 projects related to almost all branches of Statistics and Data Science on this and other freelance websites. I will show you if you are interested.
Proposed Milestones
£20 GBP - 1st milestone
£40 GBP - 2nd milestone
£30 GBP - 3rd milestone
I'm an Engineer in Statistics and Applied Economics, i've got many skills and expertise that will allow me achieving perfectly all the projects and assignments because my priority is your satisfaction
Relevant Skills and Experience
I am a master of softwares like SPSS, SAS, STATA, R, Eviews, Minitab, MS excel.
Proposed Milestones
£300 GBP - work required
I am working as a statistical programmer (SAS) for a clinical research organization (quintiles IMS). so working with medical data is my day today life hope you will reach out to me.
Relevant Skills and Experience
I am Bsc graduate in statistic and a expert SAS programmer
Proposed Milestones
£150 GBP - Whole project
Additional Services Offered
£15 GBP - explain the process
Can i know more details
The task will be done in SAS with required codes within stipulated time and proper commenting and tabulation of the output.
Relevant Skills and Experience
SAS, Statistics, Bootstrapping.
Proposed Milestones
£20 GBP - Initial plan discussion after project award and acceptance.
£100 GBP - Final delivery of the SAS code.
I have 7 years of experience in Statistical Analysis project. I would like to take this discussion forward and serve you with better quality results.
Relevant Skills and Experience
SAS/SPSS
Proposed Milestones
£166 GBP - END Results
What is the deadline to this project.
It's something I've done before. You'll have it ready by Friday.
Relevant Skills and Experience
I'm an expert in SAS base, SAS Sql, SAS macros
Proposed Milestones
£222 GBP - All the requierements will be ready by Friday
Just send the data as soon as you´re ready.