Checklist — Video Abstract for Biostatistics

Student-friendly Checklist for turning your biostatistics lab report into a video abstract

In addition to this guideline, see

Also called a Lightning Talk, a video abstract is a brief, multimedia summary of a scientific research paper. Its purpose is to engage a broader audience than traditional text abstracts by using visuals, audio, and sometimes animations to quickly convey the study’s core message, methodology, and key findings. A lightning talk is an extremely short oral presentation, usually lasting only a few minutes. For biology students, the video should be no longer than 3 minutes, allowing up to 2 minutes for questions from the audience. Its goal is to provide a concise, high-impact overview of a research project or specific result. Due to time constraints, they focus on the most critical aspects of the work to quickly capture the audience’s interest.

If you need help with making a video or uploading the video file

  1. Purpose of a Video Abstract / Lightning Talk
    • A video abstract is a short, clear explanation of your project that:
      • Communicates what you studied
      • Explains how you did it in simple terms
      • Highlights your main finding
      • Says why it matters
    • Length goal: 2 minutes (lightning talk) or 2–3 minutes (video abstract).
    • Audience: Students, instructors, future employers—assume they know nothing about migraines or meta-analysis.
  2. Structure (5-Part Template)
    1. Students should aim for 5 segments, each 10–25 seconds.
      1. 1. Hook (10–15 seconds)
      2. A simple, attention-grabbing opening. Examples:
        1. For example, if a meta-analysis on botox and migraines, then “Migraines affect over a billion people worldwide, and Botox is one of the leading preventive treatments.”
        2. “I wanted to know: Does Botox really work? So I did a mini meta-analysis of clinical trials.”
      3. Checklist:
        1. One sentence of background
        2. One sentence of the research question
        3. Simple, nontechnical language
      4. 2. What I Did (20–30 seconds)
        1. Describe the design without statistics jargon.
          1. Example phrasing:
            1. “I searched PubMed using the terms ‘botox migraine,’ restricted it to clinical trials from the past five years, and found 14 studies.”
            2. “I screened each abstract using inclusion criteria I set beforehand. In the end, 7 studies had usable data.”
      5. Checklist:
        1. Say where you searched
        2. Say how many studies you found
        3. Say how many were included
        4. Mention your inclusion criteria simply
      6. 3. How I Analyzed the Data (20–30 seconds)
        1. Explain the very basics.
          1. :Each study reported a p-value. I combined these using a method called Fisher’s test, which gives a single overall p-value for all the studies together.”
        2. No equations needed
        3. No assumptions, no statistics vocabulary beyond “combined p-value”
      7. Checklist:
        1. “I combined the p-values”
        2.  “This gave me one overall result”
        3. No formulas or numerical details
      8. 4. What I Found (20–30 seconds)
        1. Give the key result in plain language.
          1. “Across the 7 clinical trials, there was a consistent pattern: Botox significantly improved migraine outcomes compared with controls.”
          2. “The combined p-value was statistically significant, suggesting that the effect is real.”
        2. Optional visuals:
          1. Single sentence summary of the table
          2. Simple figure: number of studies included
          3. Not required: forest plots or statistics
      9. Checklist:
        1. One-sentence main finding
        2. Optional: simple visual or graphic
        3. Keep numerical details minimal
      10. 5. Why It Matters (20–30 seconds)
        1. Emphasize relevance.
          1. “This matters because migraine is common and disabling, and patients and clinicians rely on evidence from multiple trials.”
          2. “My analysis suggests the evidence for Botox is strong, even when using only abstract-level data.”
          3. “A full meta-analysis with effect sizes could give even more insight.”
      11. Checklist:
        1. What the result means in real life
        2. What a future analysis could add
        3. End with confidence and clarity
  3. Slide / Visual Guidelines
    1. Keep visuals simple:
      1. Slide 1: Title Slide
        1. Example: “Does Botox Reduce Migraine Symptoms? A Mini Meta-Analysis”
        2. Name, course, semester
      2. Slide 2: Why This Matters
        1. 1–2 bullets
        2. Optional: image of a brain or migraine awareness symbol
      3. Slide 3: Methods
        1. 3–4 bullets:
          1. Example: PubMed search: “botox migraine,” last 5 years
          2. Example: 14 abstracts → 7 included
          3. p-values extracted
          4. Fisher’s method for combining
      4. Slide 4: Results
        1. One clean statement
        2. Simple chart/table (optional)
      5. Slide 5: Take-Home Message
        1. Example: “Across included studies, Botox showed significant benefit for migraine.”
      6. Guideline:
        1. No small text
        2. No dense tables
        3. Stick to one point per slide
        4. Use high contrast and readable fonts
  4. D. Performance & Delivery Checklist
    1. Voice & Style
      1. Speak slowly and clearly
      2. Be positive and enthusiastic (within reason 😉
      3. Keep energy up but not rushed
      4. Use “I” statements (it’s a student portfolio)
      5. Avoid technical jargon
    2. Timing
      1. Total length: 2–3 minutes
      2. Each section: ~20–25 seconds
      3. Pause briefly between sections
    3. Script Tips
      1. Write a script, but don’t read it word-for-word
      2. Practice 2–3 times out loud
      3. Record in a quiet room
      4. Keep your camera stable
      5. Good natural light or face a window
  5. Suggested Closing Line
    1. End with a closing line, for example:
      1. “Thanks for watching. This project helped me learn how to combine evidence from multiple clinical trials to answer a real biomedical question.”
  6. Final checklist before uploading: Students should save to mp4 format and upload to Youtube, make the video unlisted and share the URL with their instructor in CANVAS.
    1. 2–3 minute length
    2. Clear explanation of research question
    3. Simple description of search, screening, and data extraction
    4. Explanation of combining p-values in plain English
    5. Clear statement of the main finding
    6. A sentence on why it matters
    7. Clean slides with minimal text
    8. Good audio and pacing
    9. Saved in portfolio-friendly format (mp4 or unlisted YouTube link)

Notes:

This is a draft, written November 2025 by MD with assistance from generative AI, ChatGPT