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Statistical Testing

Professional Techniques
Workshop profile:
This workshop is for participants who wish to develop or refresh their understanding of how basic statistical testing procedures work. Participants should: · be familiar with basic arithmetic, including squares and square roots · bring a calculator or smartphone app capable of square and square root functions · come prepared to engage in exercises and discussions
Non-statisticians often see statistical testing as a black box, into which statisticians pour numbers, to make p-values for medical writers to report. The underlying mathematics can appear intimidating, so this workshop breaks down the elements of some basic statistical tests, to illustrate how they work and what factors influence the results. Participants will gain a greater appreciation of how the outputs of statistical tests are generated, and what real-world decisions influence the likelihood of a significant outcome. This understanding will support their work when reporting statistical results. This is a highly interactive workshop which includes four group exercises.
This workshop addresses the following areas: · Why we need statistical tests · Populations and samples · Continuous and categorical variables · Describing continuous data · Normal distribution · Hypothesis testing · Test on continuous data (Student’s t) · Confidence intervals · Test on categorical data (chi-square) · Statistical significance and clinical relevance · Type II errors (sample sizes) · Data errors, recall bias, multiple testing Participants should note that this workshop focuses in depth on statistical testing. The concepts of mean, standard deviation, and the normal distribution are covered briefly as these are essential to the working of many tests. Participants seeking more in-depth coverage of mean, standard deviation, normal distribution, and other fundamental issues should also consider taking workshop PTF30a.