Please answer each question in the template document
401077 Introduction to Biostatistics, Autumn 2018 Assignment 3 Due Sunday June 10, 2018 Please answer each question in the template document provided and submit via Turnitin on or before the due date. The marks allocated to each question are shown in the assignment. A total of 40 marks are available and this assignment is worth 40% of your overall grade. One of the questions in this assignment ask you to analyse the data set assigned to you for assignments. This is the same data set which you used for Assignments 1 and 2. Read Description of your data set.docx for the descriptions of the variables. This assignment is assessing your skills, not the skills of the computer. You will need to include graphs from R Commander into your assignment but all other R Commander output will attract 0 marks and is discouraged. It is your task to identify the relevant results in the R Commander output and write these up in your assignment. Question 1 (18 marks) Read the paper Davoren, M. P., Shiely, F., Byrne, M., & Perry, I. J. (2015). Hazardous alcohol consumption among university students in Ireland: a cross-sectional study. BMJ open, 5(1), e006045. Critically appraise of the statistical material in this paper against items 10, 12-17 of the STROBE checklist. Present your review as a 400-500 word report. Further instructions: Only review the provided paper Davoren et al, 2015. Do not read any other papers. Restrict your review to how well Davoren et al have documented their statistical methods that is, items 10, 12-17 of STROBE only. You may not have to address every item; just describe the major strengths and weaknesses of the authors descriptions of their statistical methods and results. For each important STROBE item: state whether you believe the STROBE item is met or not, support your judgment with proof or examples from the paper, and describe why this inclusion or exclusion is important / how it will impact on the readers understanding and decision making. The 400-500 words is a guideline not a rule. There are no penalties for exceeding this guideline. There are no marks for adding a reference list. Referencing is optional. Question 2 (22 marks) Note: Students will get different answers as the data sets differ. Using the University of Eastern Sydney data set assigned to you for your Assignments and R Commander address the following research question: Does student well-being score (WEMWBS) predict self-reported average alcohol consumption (alc and/or logalc) after correcting for gender (sex) for University of Eastern Sydney students? Further instructions: You should only use the variables alc and/or logalc, WEMWBS and sex. Correcting for sex is just including sex in the regression model. When sex is in the model all other variables are corrected for it. Do report the results of your descriptive analyses Well labelled graphs can be copied from R Commander Summary statistics and tables should be manually typed Summarise the main findings of your descriptive analyses in words and describe how these findings inform your expectations and interpretation of the more complex models. Do report the results of your statistical inference and/or regression models Any fitted regression models should be manually typed and described in the text. Any hypothesis tests should contain all relevant information (use the 5 step method to be sure) Any other results such as confidence intervals should be manually typed and described in the text. Summarise the main findings of your regression model and statistical inference in one or two paragraphs. If using logalc, results are expressed in units of log standard drinks (or use the exponential (exp or ex) function on your calculator if you wish to convert your results back into standard drinks). Do remember to answer the research question Write a final paragraph which summarises the key findings of your analysis and your answer to the research question. Do check the Learning Guide for the marking criteria Do write your answers yourself and keep them private.