About the Event
Stat Wars is a challenging biostatistics competition where teams of 3 dive deep into the world of medical data analysis. Starting with a statistics quiz qualifier, advancing teams then tackle real-world clinical datasets, perform comprehensive data analysis, and present their findings. This event tests your statistical knowledge, analytical skills, and ability to communicate complex medical insights effectively.
Event Structure
Mode: Offline
Duration: 2.5 hours total
Team Size: 3 members per team
Rounds: 2 rounds (Qualifier Quiz → Data Analysis & Presentation)
Round 1: Statistics Qualifier Quiz
All registered teams participate in a written quiz covering statistics, biostatistics, and data analysis concepts. This qualifying round filters the top teams who will advance to the data analysis challenge.
- Written quiz format with MCQs and short-answer questions
- Topics: Probability, Hypothesis Testing, Regression, Statistical Distributions, Biostatistics Concepts
- Clinical and medical statistics applications
- Time-bound—complete within the allocated time
- Top-scoring teams advance to Round 2
Round 2: Clinical Data Analysis & Presentation
Qualified teams receive a real-world clinical or medical dataset (e.g., patient outcomes, drug efficacy trials, epidemiological data). Teams must perform statistical analysis, interpret results in medical context, and present their findings to the judges.
Analysis Phase:
- Teams receive a clinical dataset with a problem statement
- Perform exploratory data analysis (EDA) to understand the data
- Apply appropriate statistical tests (t-tests, ANOVA, chi-square, regression, etc.)
- Identify patterns, correlations, and significant findings
- Interpret results in the context of clinical/medical implications
- Use statistical software (R, Python, Excel, SPSS) for analysis
Presentation Phase:
- Prepare a concise presentation (5-10 minutes) of your findings
- Explain methodology, statistical tests used, and justification
- Present key insights and their clinical significance
- Discuss limitations and potential biases in the data
- Provide recommendations based on your analysis
- Q&A session with judges
Skills Required
- Strong foundation in statistics and biostatistics
- Hypothesis testing, regression analysis, and statistical inference
- Proficiency in statistical software (R, Python, Excel, SPSS)
- Data visualization and interpretation skills
- Understanding of clinical/medical terminology
- Critical thinking and problem-solving abilities
- Clear communication and presentation skills
Rules & Guidelines
- Teams must consist of exactly 3 members
- Total event duration: 2.5 hours (Round 1 + Round 2)
- Event is offline—all activities on campus
- Laptops and statistical software will be available for Round 2
- No external resources or internet allowed during quiz (Round 1)
- Statistical software and reference materials allowed during analysis (Round 2)
- All analysis must be completed within the allocated time
- Teams must explain their methodology and justify statistical choices
- Judges' evaluation of accuracy and interpretation is final
- Maintain academic integrity throughout the event
Evaluation Criteria
- Round 1: Quiz score determines qualification to Round 2
- Statistical Accuracy: Correct application of tests and methods
- Data Analysis: Thoroughness of EDA and insights derived
- Interpretation: Medical/clinical relevance of findings
- Presentation: Clarity, structure, and communication effectiveness
- Critical Thinking: Discussion of limitations and recommendations