Assignment III for Biostats Course VHM 801 at AVC - Fall semester 2019
The assignment is worth 10% of the final course mark. Please be aware that by handing
in the home assignment you implicitly acknowledge to have read and accepted
the instructions for home assignments as described
on the VHM 801 homepage.
The assignment is a continuation of the first home
assignment on growth of Atlantic salmon in a field vaccine trial.
You may want to revisit the first home assignment as a preparation
for this assignment, and you will use the previously described and supplied dataset.
For your work here, you should generally take into consideration all the information
about the dataset obtained in the first home assignment (e.g., as described in the corresponding
solution posted on the VHM 801 homepage).
A full mark requires satisfactory answers to the four questions below.
Note that all statistical assumptions need to be stated and
justified. It is perfectly valid (and also recommended) to use statistical
software for the analyses, but all procedures should be described/specified in such
detail that it is clear what has been done without looking at software
outputs. (Hint: Methods can be specified without including the formulae,
by giving their unequivocal names and explaining any inherent settings
used.)
- Our focus for the assignment will be on the weight gains from vaccination to transfer.
Give a statistical model for these weight gains that does not differentiate
between the characteristics contained in the additional variables
recorded; that is, a model for the weight gain in the absence of any
additional information about the fish. Estimate the
mean weight gain, with a corresponding 95% confidence interval. Discuss
any concerns you might have with the validity of the confidence
interval, explore at least one way to demonstrate the impact
of such concern(s) on your result, and draw conclusions. If you don't have any concerns with the
validity of the confidence interval, explain carefully why there might be no concerns. (Note:
You are not expected to get into considerations about the utility of an overall mean weight gain,
when the data offer ways of splitting into sub-populations.)
- Carry out a statistical analysis to compare the weight gains for the different sex
groups (females, non-precocious males, precocious males). It is
suggested to compare the non-precocious and precocious males first, and
then based on the results from this analysis decide on how to best
continue with the comparison(s) with females. Your comparisons should
involve estimates and confidence intervals to quantify differences, as
well as statistical tests to assess their statistical strength. As in
the first question, address any concerns about the validity of the
results, and include also here exploration of the impact of any such
concerns. (Note: If your analysis involves several comparisons, you may restrict
your discussion of concerns to one of these.)
- The main objectives of the study were related to the vaccines. Even
though the study was randomized, there may have been ways in which the
distribution of sexes could become dissimilar between vaccines, thereby offering
a potential to affect the results in undesired ways. Without necessarily
going into details about how such dissimilarities might have occurred, carry out a
statistical analysis to explore whether the sex distributions, as recorded in the data, appeared to
be similar across the vaccine groups. Make sure to formulate and justify
a statistical model as the basis of your analysis and inference, and to draw
conclusions about the question of interest.
- Carry out a statistical analysis to quantify any differences in the weight gains
between vaccine groups. Your analysis should include estimates and confidence intervals for
the mean weight for each vaccine group, possibly displayed graphically. For further comparisons,
you may -- as there are six vaccines -- either use statistical methods to compare multiple samples
(covered in Session 10 of VHM 801) or compare selected pairs of vaccines. A brief discussion of the validity
of the results should be included here as well, but include extra analytical steps only if
they add to what you already did in previous questions.
Henrik Stryhn
(hstryhn@upei.ca) 2019-10-31