This is a general introduction to the important role statistics play in the planning stage of a research project. We will discuss the best practices for carrying out the crucial steps in the research process: specifying the scientific question, defining the study population, designing a study to collect and analyse the data, making appropriate conclusions based on the analysis results. We will focus on statistical aspects of each of these steps and discuss through examples possible issues that arise in various study designs, including the effects of confounding and the need for sample size and power calculations.
In this workshop you will learn:
- How to make research questions clear and focused, so that they can be turned into testable hypotheses
- How to design a study or define a sampling plan
- What data is needed to be collected to answer the research question(s)
- Different types of variables and best practices on how to organize your data
- How to create an appropriate analysis plan
- How to determine the sample size needed and key ingredients for doing so
ABOUT THE SPEAKER
Biljana Jonoska Stojkova is a Senior Statistical Consultant with Applied Statistics and Data Science Group, ASDa, providing support and participating in collaborative research with investigators on various research grants. She completed a PhD in statistics at SFU, where she focused on developing Bayesian algorithms and methods for multi-modal posterior spaces.
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