This lecture covers survival data analysis, including censoring, Cox regression, and the Kaplan-Meier estimator. It explains the importance of survival functions, hazard functions, and the log-rank test for comparing survival curves.
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This course covers topics in applied biostatistics, with an emphasis on practical aspects of data analysis using R statistical software. Topics include types of studies and their design and analysis,
After a short introduction to basic molecular biology and genomic technologies, this course covers the most useful statistical concepts and methods for the analysis of genomic data.
