Biomedical Statistics Course ANAT 597

Course Description, Examinations, and Attendance

  • Course Description. The Biomedical Statistics ANAT 597 provides the student with a foundational knowledge of basic statistics. This foundation of knowledge enables to the student to adapt to the statistical requirements of their specific research. In addition, this course provides instruction for using R/RStudio to perform statistical analysis and data graphics display. A coordinated combination of lecture topics and laboratory exercises address descriptive, population, and non-parametric statistics.
  • Examinations. The are two examinations; a mid-term and a final. Each examination is worth 100 points; 50% of 200 total points available for the course. Essay style questions are crafted from lecture topics and laboratory exercises. Each examination is two hours long.
  • Attendance. Recommended. Pending the individual's assessment for the merit of attendance in their particular case. It may become awkward if the two examinations are not attended.

Scheduled Lectures and Laboratories

Lecture: Introduction to Graduate Statistics - Biomedical Statistics ANAT 597. Thursday March 04

Lecture 1A. Sampling and Data, Pages 1-66. Tuesday March 09

Lecture: Sampling and Data

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Lecture 1B. Sampling and Data, Pages 1-66. Tuesday March 16

Lecture: Sampling and Data

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Lecture 2. Descriptive Statistics, Pages 67-174. Thursday March 18

Lecture: Descriptive Statistics

R and RStudio: Descriptive Statistics

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Lecture 3. Probability, Pages 175-242. Tuesday March 23

Lecture: Probability

R and RStudio: Probability

  • Pages: Introduction to R and RStudio, Data entry, plotting
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Lecture 4. Discrete Random Variables, Pages 243-311. Thursday March 25

Lecture: Discrete Random Variables

R and RStudio

  • The binomial distribution
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Lecture 5. Continuous Random Variables. Pages 311-365. Tuesday March 30

Lecture

R and RStudio

  • T-test: Paired versus Independent Groups and Degrees of Freedom

Lecture 6. The Normal Distribution. Pages 365-398. Thursday April 1

Lecture

R and RStudio

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Examination One. Chapters 1-6. 100 points (50%). Due Tuesday, April 13 (Take Home)

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Lecture 7. The Central Limit Theorem. Pages 399-442. Tuesday April 6

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Lecture 8. Confidence Intervals. Pages 443-504. Thursday April 8

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Lecture 9. Hypothesis Testing with One Sample, Pages 505-566. Tuesday April 13

Lecture

R and RStudio

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Lecture 10. Hypothesis Testing with Two Samples, Pages 567-621. Thursday April 15

Lecture

R and RStudio

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Lecture 11. The Chi-Square Distribution, Pages 621-679. Tuesday April 20

Lecture

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R and RStudio

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Lecture 12. Linear Regression, and Correlation, Pages 679-742. Thursday April 22

Lecture

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R and RStudio

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Lecture 13A. The F Distribution and One-Way ANOVA, Pages 743-784. Tuesday April 27

Lecture

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R and RStudio

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Lecture 13B. The F Distribution and Two-Way ANOVA, Pages 743-784. Thursday April 29

Lecture

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R and RStudio

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Examination Two. Chapters 7-13. 100 points (50%). Due Monday May 10

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Topic revision: 05 Mar 2021, LorenEvey
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