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Lecture01 - Todays Schedule Course administrative...

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10 April 2003 Biostatistics 6650--L1 1 Today’s Schedule Course administrative details--handout hsrwww.mayo.edu/~harring/class/index.html Setting course expectations Basic statistical assumptions Statistics: Definition & Need Types of data/variables
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10 April 2003 Biostatistics 6650--L1 2 Setting Course Expectations Setting Course Expectations What we will NOT do provide substantial mathematical detail derive formulas ask you to do extensive hand calculations What we will do teach statistical concepts emphasize statistical reasoning discuss commonly used approaches provide opportunities to do simple analyses provide the tools for critical reading of statistical sections of medical publications
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10 April 2003 Biostatistics 6650--L1 3 Setting Course Expectations After completing this course you will NOT : be a statistician be a statistical programmer be a data analyst After completing this course you will: be a subject matter specialist with rudimentary knowledge of statistical methodology be familiar with the philosophy of statistical reasoning know the names and ideas behind basic statistical procedures
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10 April 2003 Biostatistics 6650--L1 4 Setting Course Expectations After completing this course you will: be able to interpret the results of basic statistical procedures produced by software appreciate some of the detailed work that goes into a statistical analysis be able to critically read the statistical methods and results sections of publications in your area of expertise know how/when to seek out statistical consultation
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10 April 2003 Biostatistics 6650--L1 5 Setting Course Expectations Course participation interaction is essential questions are expected and welcome feedback is welcome Do you want more detail? / Do you want less detail? Is the pace too slow? /Is the pace too fast? Professor: A person who talks in someone else’s sleep.
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10 April 2003 Biostatistics 6650--L1 6 Basic Statistical Assumptions Basic Statistical Assumptions Overriding Principle: Statistical methodology cannot compensate for bad science or unethical scientists. Assumptions: The sample we have is REPRESENTATIVE OF REPRESENTATIVE OF and GENERALIZABLE to GENERALIZABLE to the population of interest .
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