BIOS 543 Week 1 Lecture 1 Notes
Course Overview and Expectations
- Lecture Outline:
- Introduction to the Course/Expectations
- Brief course overview
- Introduction
- TAs
- Grading
- Readings and Videos
- Expectations
- Brief course overview topics (applies to the course focus):
- Scientific Process and Reproducibility (VERY brief!)
- Learning about R
- Database management using R
- Data summarization using R
- Visualization of data using R
- Finding associations and relationships using R
- Writing your results in an appropriate scientific format
- IMRaD
Scientific Process and Reproducibility
- What is the scientific process?
- What is reproducible science?
Brief Course Overview (What you will learn and do)
- Scientific Process and Reproducibility (VERY brief!)
- Learning about R
- Database management using R
- Data summarization using R
- Visualization of data using R
- Finding associations and relationships using R
- Writing your results in an appropriate scientific format
- IMRaD
TAs for This Semester
- We have seven (7) TAs listed (note: the slide says six, but seven names appear):
- Gokul Pokharel
- Sabina Yeasmin
- Himadri Roy
- Frank Agyei-Owusu
- Johnna Berryhill
- Nusma Rahman
- Xuping Luo
- They will, in general, be present for every class
- You are free to meet with them before and after class if you have any questions
- You are encouraged to ask questions in class; no need to be shy
TA Hours and Availability
- Each TA will provide 3 hours of office hours each week
- AM and PM hours 5 days per week (as much as schedules allow)
- Office hours will be in-person or via Zoom
- In addition to the TAs, the instructor is available to meet during:
- TTH 5:20-6:20 pm, or by appointment (in person or via Zoom)
TA Schedule
Grading
- There will be five (5) homework assignments that will count for 75% of your grade
- You will have a minimum of 1 week for every homework assignment
- Most assignments will have a written component
- This is where the IMRaD information module in Canvas will be useful as you WILL provide your write-up in IMRaD format
Final Exam (Comprehensive) and Overall Grading
- There is a single final comprehensive exam that will count for 25% of your final grade
- The format of this final exam has not been determined
- Assignment Type and Grade Ranges (summary):
- Homework (5): 75% of final grade
- Final Examination (1): 25% of final grade
- Letter Grade ranges:
- A:90%≤Grade≤100%
- B: 80\% \leq \text{Grade} < 90\%
- C: 70\% \leq \text{Grade} < 80\%
- F: \text{Grade} < 70\%
Readings and Videos
- Some modules include reading assignments as well as videos
- Please read the assigned material before the week begins
- Links to the videos are posted in the modules; the ones appropriate for each lecture are presented before the PowerPoint they apply to
- You may want to go through the PowerPoint before watching the videos so you have an idea of what to expect
Expectations (Instructor's Expectations)
- I EXPECT that you will review materials BEFORE class:
- This includes watching any videos, reading assignments, and reviewing posted slides to be prepared to ask questions
- I EXPECT that you will review materials from PREVIOUS weeks regularly
- This is not a “listen to me lecture and then put everything away until the next class” course
- I EXPECT that you will utilize the TAs and their office hours; they are there to help you gain a deeper understanding of material and help with coding in R
- If you cannot meet with a TA, email the instructor to arrange a meeting
Extensions and Course Seriousness
- If you need an extension for a homework assignment, request the extension a MINIMUM of 24 hours BEFORE the due date
- Extensions will be granted for valid reasons
- You MUST request the extension at least 24 hours in advance of the due date
- You are expected to take this course as seriously as any other course you are taking (or as seriously as your job if you work while taking classes)
Questions
- Are there any questions regarding TAs, Grading, Course Materials, or instructor expectations for the course?
The Scientific Process (Process Flow and Common Pitfalls)
- Process steps (from page 14):
- 1. Generate Hypothesis
- 2. Design Study to test Hypothesis
- 3. Collect Data
- 4. Analyze Data
- 5. Interpret Data
- 6a. Publish or conduct next experiment
- 6b. Refine or Expand Hypothesis
- Common pitfalls (associated with poor practice):
- Poor/incomplete methods description
- Low statistical power
- Failure to consider confounders
- Unintended bias
- Cherry picking / phishing
- Inappropriate methods
- P-hacking
- Model biases
- Over/under-optimism
- Failure to assess measurement quality (Internal Validity)
- Source attribution: Mohanish Deshmukh, T32 Co-Director, Medical Sciences Training Program, UNC Chapel Hill
- Topic: The Scientific Process
What Do We Mean by “Reproducible”?
- Definitions:
- Replication and Reproducibility: there is much disagreement and confusion; definitions are sometimes swapped
- 1. Taking someone else’s specimens, data, code, etc., and obtaining identical results
- 2. Using someone else’s approach and obtaining sufficiently similar results
- Most definitions distinguish: (1) Replication and (2) Reproducibility
- Science is deemed not replicable or reproducible when original results cannot be obtained or approximated
- Peng RD (2009) Reproducible research and biostatistics. Biostatistics 10(3): 405-408
Reproducibility Crisis: Causes and Solutions
- Causes (per page 16):
- Public Perception: Fraud or Deceitful Behavior
- Overemphasis on P-Values
- Actual Culprits:
- Isolated Sub-Populations/small Samples
- Poor/Overly-simple Methods
- “Hero Ball”/Poor Teamwork
- Poorly Oriented Goals
- Confirming hunches
- Proving hunches
- Solutions and goals:
- Research Goals SHOULD NOT Be: Find “your” answer; Prove/justify new drug/intervention/etc.
- Research Goals SHOULD Be: Find “THE” answer; Seek TRUTH, not glory; Act reproducibly and justifiably; Reduce uncertainty
- Justification and Methodology:
- Scientific Method requires: Objectivity of Study Outcomes; Clinical Equipoise; If Methods/Findings aren’t reproducible, results are invalid; Sound Methods → Sound Conclusions
For Thursday’s Class (Practical Prep)
- Be sure to have both R and RStudio installed on your computer
- We will be doing group activities using R
- If you have not installed these, be sure and do so before class
- If you have problems doing this, please let me know before class starts