PUBH7630 Introduction to Biostatistics
Assignment 3 Instructions and Questions
Assignment 3 is a culmination of the information from Topics 1-9. The assignment is
worth 40% of your overall mark.
Notice: This assignment is an individual assignment and must be your own
individual work.
Format of assignment
Use the document provided on Blackboard to create your assignment because
it is already formatted correctly and has the cover sheet already in it.
The assignment should be in Word (.doc or.docx) or .pdf format. If working from
a Mac computer, it is recommended to submit in .pdf format.
Use 2.54cm margins all around and no smaller than 12 size font.
Use a common font such as Times New Roman, Arial or Calibri.
The first page of your assignment must be the cover sheet. i.e. the cover is
part of your assignment and not a separate document. Make sure to fill it in with
the relevant details.
Your assignment answers must total 10 pages or less. The cover sheet should be
included in the file as the first page, bringing the total pages to no more than 11
pages. Follow the individual instructions on page/word limits.
Submission of the assignment
Students are required to submit their assignments to the Blackboard site via the
TurnItIn link.
Name your file by YOURSURNAME_INITIAL_PUBH7630A3 so it would look like
Darssan_D_PUBH7630A3.doc. This is so we can easily match up files to
students. If you don‘t name your file correctly, you are making extra work for the
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marking team, which will not put smiles on your markers‘ faces. Not a good idea
to do before the markers mark your assignment.
Make sure you complete each section of the cover sheet, with the correct course
name and number, assignment number and title and the course coordinator‘s
name. On the cover sheet (which is the first page of your file), you affirm that
the work is your own, as per the University Academic Integrity and Plagiarism
policy at http://ppl.app.uq.edu.au/content/3.60.04-student-integrity-and-
misconduct; entering your name on the signature line is an acceptable substitute
for your signature.
Please keep a copy of your assignment.
Please keep a copy of your TurnItIn Digital Submission receipt that you will
receive by email once you’ve submitted your assignment.
Once marking starts, the assignment information will be hidden in My Grades
until marking is complete.
Background
The Health Information National Trends Survey (HINTS) is a national survey uniquely
dedicated to learning how people find, use, and understand health information
(http://hints.cancer.gov/Default.aspx). An information sheet about the study is
available on the Blackboard site (HINTS_Fact_Sheet.pdf). We will use the data for some
simple statistical analysis.
Data
You will be using the HINTS 4 (Cycle 2) data to answer the assignment questions. This
data set and accompanying codebook were updated in 2017. A random sample of size
1500 was taken in order to simplify data handling. The data are available on Blackboard
in R binary .Rdata format (A3_2019sem1_hints4_cycle2_sample1500.RData).
You will need to download and save the data file onto your computer and then LOAD it
into Rcmdr (Data => Load dataset…)
The codebook for these data is available on the Blackboard site in the file
HINTS_4_Cycle_2_Codebook_09062017.pdf.
Do NOT print the codebook.
Note that data have not been recoded nor changed in any way but simply read into R by
first reading in the SPSS format data saved as a text (.csv) file. This will mean the R
automatically made some variables factors if there was only a small number of values.
The variable names match those in the codebook. You may find it easier to remove
variables that you don’t need to make data handing and using the analysis menus more
manageable.
Finally, you may see reference to analysis using sample weights. While this is common
in complex surveys, statistical analyses should not be weighted for this assignment.
Assignment 3 Questions
The answers to questions 1-3 must include
what data you used (inclusion / exclusion)
and selection of appropriate statistical measures and why,
an appropriate presentation of the data in a graph and / or table,
statements about assumption testing, and
an appropriate conclusion based on a statistical test, with justification in
text. Report the p-value to 2 or 3 decimal places (p=0.02, p<0.001, p=0.008 for
example) and other values to 1 or 2 decimal places or whole numbers if
appropriate. There will be penalties for going over specified word and page limits.
Analysis questions using HINTS data
These analyses require using several variables from the HINTS4 Cycle 2 data set and
assessing some relationships between these variables. In particular, you will be testing
the relationships between BMI and variables measuring moderate exercise, both as
continuous variables or as categorical variables. Since the variables of interest are
provided as either continuous or categorical then the other variable type will need to be
constructed.
Variable names are in brackets and their details may be found in the codebook.
1. Consider body mass index BMI (BMI) as a continuous variable. Use hours of
watching television or playing computer games (AverageDailyTVGames) in hours
per day as a continuous variable to predict BMI. Comment on the similarity or
otherwise of the relationship between men and women. Gender is (GenderC)
2. We Consider BMI (BMI) as a continuous variable. Is BMI related to annual
income (IncomeRanges_IMP) when income is considered to be 4
categories (“$0 to $34,999”, “$35,000 to $99,999”, “$100,000 to $199,999” and
“$200,000 and above”)? Comment on the similarity or otherwise of the
relationship between men and women.
3. For both men and women, underweight is BMI < 18.5; healthy weight is BMI >=
18.5 to <25; overweight is BMI > = 25 to <30; obese is BMI > = 30. Construct a
categorical variable with these categories from the continuous variable BMI
(BMI). Analyse the relationship between the BMI categorical variable and Income
variable with four categories used in Question 2. Interpret your findings.
Maximum 5 pages to answer Questions 1-3.
Questions 1-3 are worth 20% each.
Summary for Questions 1-3
4. Write 200 words describing your overall conclusions from the above analyses in
Questions 1-3. Comment on the findings. 10%
Data analysis plan
5. Write an analysis plan to examine the relationships between several variables
from the HINTS4 Cycle 2 participants’ with their reported age using the age
variable is in 5 categories (AgeGrpB). Consider age group in relation to several
other variables, namely, gender (GenderC), education (EducA), using the internet
to look up cancer information (InternetCancerInfoSelf) and BMI category as
defined in Question 3. Finally, include a brief analysis plan to relate one sleep
pattern variable, which is the hours per working day (SleepWorkdayHr), with
continuous BMI (BMI). Use the same PDF codebook as for Questions 1 to 4. This
is available on Blackboard.
Do NOT do the analysis. 20%
Maximum 4 pages in an outline format for the data analysis plan.
The remaining 10% of marks will be given for stating significance level cut-offs,
following instructions, using proper grammar and writing, having a clear,
organised presentation, and referencing appropriately.
Assignment 3 is worth 40% of overall course grade.
Notice: This assignment is an individual assignment and must be your own
individual work.
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