I am looking for an experienced biostatistician for the analysis of a dataset.
This is a medical research study aimed at identifying prognostic factors for the subsequent development of a disease. The dataset consist of the outcome variabile and the time to event, and approximately 10 indipendent variables (prognostic factors).
I want to carry out the analysis as in the papers attached to this post. Particularly:
- univariate and multivariate cox
- c index, LR chi squared, AIC, and calibration cox chi squared
- net re-classification improvement with calibration and global model fit
Either SAS and R are suitable for carryoung out the analysis. Probably, as in most papers they are using SAS for carryoung out this type of analysis, it would be easier with that (there should be a macro on the internet for that) than with R. In any case, as I am learning SAS and R, I would like to receive the code you used in order to compare your with mine.
Thank you for your attention
15 freelancer đang chào giá trung bình $205 cho công việc này
Dear Employer, I am an experienced Biostatistican and I have good knowledge of the techniques mentioned in the task. I use mostly R. Please let me know if you are interested in collaboration? Best regards