Surfstat.australia: an online text in introductory Statistics
PRODUCING DATA
PRINCIPLES OF STUDY DESIGN
The Scientific Method
Principles of Scientific Experimentation
developed for agriculture, 1920's and
1930's by R.A. Fisher
adapted to other scientific fields e.g.
medicine, 1950's by A. Bradford Hill
used to study industrial processes -
recent e.g. Taguchi
Experimental design is one of the major contributions from Statistics
to solving scientific problems.
Example - Salk polio vaccine trial
Salk polio vaccine trial (Freedman, Pisani and Purves, Chapter 1).
Refer to Appendix Two for a reprint of the article by Meier, detailing
the experiment.
vaccine developed by Salk, early 1950s
safe and effective in laboratory tests
how effective would it be in practice?
U.S. Public Health Service conducted an experiment.
Subjects were nearly 2 million schoolchildren in grades 1, 2 and 3 living
in high risk areas.
Outline of experiment
- Why not vaccinate everybody?
- You couldn't tell if the vaccine was effective because you would
have no basis for comparison (polio rates varied from year to year so
comparison with the past is of no use)
- Why not use "refusals" as controls?
- High income parents were more likely to refuse, but risk of polio
was thought to be higher in the higher income groups so the study would
be biased in favour of the vaccine
- To avoid bias you need the treatment and control groups to be as similar
as possible (except for the treatment)
- If the groups differ by some factor which can affect the outcome (or
response) then the treatment effects may be confounded by this factor
- To ensure that treatment and control groups were comparable, children
were allocated to these groups by randomisation (equivalent to tossing
a coin), so that each child had an equal chance of being allocated to either
group.
- To increase comparability the control group was also given a placebo
injection. A placebo is a neutral substance which resembles the actual
treatment. In this case the placebo was an injection of saline solution.
- Parents and children were not told to which group they had been assigned
so they didn't know if the child was injected with vaccine or placebo (i.e.
they were blinded). As a result there were refusals in the control group
as well.
- Doctors diagnosing polio were not told whether the child had been given
the vaccine or the placebo, so they too were blinded. Therefore the study
was double-blinded.
- Groups were different sizes but the results could be made comparable
by calculating the rate of polio cases per 100,000 children.
e.g. If 95 cases occurred in 250,000 children
= 38 per 100,000
Randomised, Controlled, Double-Blinded Trial
Conclusion: The vaccine was effective.
Summary of Study Design
Descriptive studies and observational studies report on how
something is.
Experiments help to answer "Why?"
Prelude to statistical inference:
A design that incorporates randomisation yields data and
analysis-results that are subject to the laws of probability.
Data produced from a good study design are used to draw conclusions
about some wider population, a process called statistical inference.
The reasoning of inference relies on the laws of probability.
For this reason, variability (or what would happen if the experiment
were repeated many times) and probability theory (the mathematical study
of randomness) are discussed in the next section of this book.