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

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.

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