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Methods in Biostatistics I

Methods in Biostatistics I

Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations. Learning Objectives The goal of this course is to equip biostatistics and quantitative scientists with core applied statistical concepts and methods: 1) The course will refresh the mathematical, computational, statistical and probability background that students will need to take the course.... Show More
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