Design of Experiments (D-Optimal) for Biopharmaceutical Research
Paper details:
Hello! There are three main tasks for this paper improvement. In the first task, I am looking to improve the methodology section of my praxis by looking at my R code and putting this into more academic writing, perhaps even layman terms. It will not require you to understand all of the code (as I have already annotated some lines of the code), but it will require describing how I’ve put together an ensemble of R libraries to make a unique D-optimal, web-based program that has a clear advantage over OFAT designs in the realm of biopharmaceutical experiments. This should then tie back to my research hypotheses.
In the second task, there is also a need to improve my overall paper by improving on my research question and hypotheses. This will require a solid understanding of the results section of my research, the data sets that I will provide to you, and finally wrapping it all up and describing how the research variance of my program vs OFAT variance of the data set differs. There may be some light statistical work (I can provide the SPSS files that has been done).
Finally, the third task wil be to actually shave down my praxis. I have too much written (over the limit) and will need your help to shorten my dissertation within the page limits.
I will be at every step of the way for questions – please don’t hesitate to message me.
Thank you
