Biostatistics
Course Numbers: MSMS 5010, BCOR 5570
Biostatistics I:
This graduate course will introduce the most commonly used statistical tests and procedures to analyze biological and ecological data. The main objective is to prepare the students to identify the most corrrect statistics to analyze biological data, perform the statistical analysis in R Studio and correctly interpret the results. Lectures will consist of short theoretical presentations followed by a lab where students will do guided exercises in R Studio. Students will be required to do readings prior to the class on the theoretical basis of the theme of the week, and perform unguided exercises (homework) to cement knowledge.
Biostatistics II:
This is an intermediate/advanced course in the practical applications of descriptive and inferential statistics with emphasis on advanced methods of analyzing biological data. Topics will include: analysis of variance (ANOVA); data transformations; linear regression and correlation; power analysis; goodness-of-fit tests; and non-parametric methods. Additional topics may include multiple and curvilinear regression techniques. Handouts of the overheads will be generated each week to help minimize the amount of writing on the board and note taking.
Biostatistics
Course Numbers: MSMS 5010, BCOR 5570
Biostatistics I Textbook:
Biostatistics I Suggested Books:
Biostatistics II Textbook:
Requirements for Both Courses:
There will also be supplemental readings provided, related to R and data analysis
Required Course Statistical Package:
Biostatistics
Course Numbers: MSMS 5010, BCOR 5570
Biostatistics I:
Biostatistics II: