Hello, dear friend, you can consult us at any time if you have any questions, add WeChat: THEend8_
FMHU5002 Introductory Biostatistics – Data Analysis and Reporting Assignment
If you have any administrative questions, please post them on the Canvas Discussion Board.
Go to Discussions > Data Analysis and Reporting Assignment Discussion.
The timestamp of your email will be used as evidence of the date and time of your assignment submission.
Please note responses to emails will only occur during business hours on standard working days.
Important Notes:
• The data for the assignment has been simulated for the purposes of an assessment exercise.
As such, the outcomes from these analyses have no practical or clinical meaning.
• This assignment paper (including cover page, instructions, and data dictionary) is five (5)
pages in length. Please ensure you have all pages.
• The variable names and coding of the variables (i.e., the data dictionary) for your dataset are
included at the end of this assignment on page 5.
• Name your submission file with your student number (SID), unit of study code, and “A4” (e.g.,
311275249_FMHU5002_A4.pdf). Ensure all pages are numbered, and that your student
number is included in the header or footer of the document.
• Assignments are marked anonymously, so please do NOT put your name anywhere on the
assignment or submission title.
• Any jamovi output presented must be edited to comply with the recommendations for
presenting results as covered in the Lecture 1 Notes.
FMHU5002 Introductory Biostatistics – Data Analysis and Reporting Assignment
Assignment Questions
You have been asked to help analyse the results of a cross-sectional study among males aged 18-65
years old which was undertaken within a local health district to examine the impact of weight status
(i.e., overweight / not overweight) on health service usage (i.e., overnight hospitalisation in the past
12 months), and systolic blood pressure (mmHg).
Your collaborators within the local health district have provided you with the dataset (in the file
“FMHU5002 A4 Dataset.csv”, the data dictionary for which is provided on the last page of this
assignment document). The data has already been screened by a colleague, and all values in the
dataset should be considered correct (i.e., you do not need to screen the data for impossible,
implausible, extreme, or missing values).
Question 1 (12 marks)
a. Perform an appropriate analysis to assess whether there is an association between weight
status and overnight hospitalisations. In your response, clearly state the null hypothesis that
is being tested, and provide a brief conclusion including relevant statistical values. Your
response should be no longer than 4 sentences.
b. Perform an appropriate analysis to determine whether there is an association between weight
status and mean systolic blood pressure. In your response, clearly state the null hypothesis
that is being tested, and provide a brief conclusion including relevant statistical values. Your
response should be no longer than 4 sentences.
Question 2 (4 marks)
a. For the analysis performed in Question 1a, a prevalence of hospitalisation among people with
a weight status of overweight that is 1.4 times that of people not overweight would be
considered practically important. Based on your analysis, what can you conclude about the
practical importance of the results?
b. You are informed that a sample size calculation was performed in the design stage of the
study. This calculation determined that, in order to detect a practically important effect with
90% power at the 5% significance level, each study group would require 686 individuals.
However, due to staffing and budgetary constraints, this number was not achieved and no
further data can be collected. What are the implications of this on the detectable effect and
the precision of the estimated effect?
FMHU5002 Introductory Biostatistics – Data Analysis and Reporting Assignment
A colleague has also been analysing the data, and based on input from clinical collaborators, they
have included age as a potential confounder of systolic blood pressure in their model, generating
the output below:
Use the information provided in this output to answer the remaining questions (Question 3 and 4).