Odds ratio and relative risk

I am a PhD student pursuing doctoral studies in statistics. Previously, I graduated with a M.Sc. (Statistics) and earlier on I had finished my B.Ed. (Sciences) majoring in Double Mathematics from university. Among the skills that I have are: Research, thesis & project work, lecturing of mathematics & statistics, monitoring & evaluation, supervision of research work, use of information technology, statistical analysis using SPSS, STATA, R, Excel etc. I promise to work on your assignment as per the requirements and guarantee you excellent pass. The work or paper will be plagiarism free and grammatically correct.

Hi. I am a statistician. I have dealt with odds ratios, relative risks, risk ratios and p-values in data analysis especially categorical data. You may message me if you want me to submit the paragraph.

Hi. We know how to explain that the adjusted odd ratio is a good approximation of the risk ration when p is a small value. We are 3 PhD students in Statistics (Dr. Torretta became a PhD three weeks ago). We have a good background (Excel, R, STATA, SAS and SPSS and Latex) in every direction which involves Statistics. We'll be glad to work for and with you. Contact us via chat. Our group is very specialized in biostatistics and methodological statistics, but our PhD at the university of Palermo is in Statistics, Applied Statistics and Quantitative Finance. To show that we are quite skilled, we attach a list of some publications of two of us, dr. F. Torretta and dr V. Capuccio. • P-spline quantile regression with a mixed model algorithm. Federico Torretta, Vito M.R. Muggeo, Paul H.C. Eilers. Proceedings 30th International Workshop on Statistical Modelling, Linz 2015. • Red blood cell distribution width as new biomarker in predicting outcomes after aortic valve replacement: A Retrospective Cohort Study. C. Pisano, C.R. Balistreri, O.F. Triolo, F. Torretta, V. Capuccio, V. Argano, C. Palmeri, G. Ruvolo. Acta Cardiologica. Under review. • Growth curves of sorghum roots via quantile regression with P-Splines. Alessio Pollice, Vito M.R. Muggeo, Federico Torretta, Rocco Bochicchio and Mariana Amato. 47th Scientific Meeting of the Italian Statistical Society, Cagliari 2014.