CMC Statistics Community

Hi All, 

As the community starts to prepare for the launch of Stat Snax Video Set 2, the leadership team is collecting ideas for video set 3! For those new to the community Stat Snax are short videos (5-10 minutes) on key statistical concepts teaching non statisticians. The list below outlines the Videos record in sets 1 and 2 and provide a current list of topics for future videos.   

Video set 1: Stat Snax - YouTube

1. What is a P-Value?
2. What is a confidence Interval?
3. R^2 and R^2 Adjusted
4. Statistical Significance vs Practical Importance
5. What's the difference between an Equivalence Test and a Difference Test?
6. Statistical Process Control vs Statistical Quality Control
7. Interpreting Stability Regression per ICH Q1E
8. Fitting a Model to Stability Data

Soon to be released Video Set 2

1. Scientific Method
2. Statistical Thinking
3. Good Graphical Practices
4. Determining Sample Size
5. Transformation of Data
6. Evaluation of Outliers
7. Non-inferiority testing of standard deviations

Potential Ideas for Video Set 3

• Fixed vs Random lot models for stability data
• D vs I optimal designs
• Retests in case of OOS (n new observations & reportable value)
• Goodness of Model Fit / Model Assumptions
• Using Quality Ranges in a Comparability Study
• High Level description of Bayesian Statistics

All ideas are welcome! Once a list of ideas has been established, the leadership team will ask for volunteers to prepare presentations and record the videos. Suggesting an idea, does not put you on the hook for creating a video. Please add to either the discussion board or the Excel sheet sent by Aili. 

Hi All, 

As the community starts to prepare for the launch of Stat Snax Video Set 2, the leadership team is collecting ideas for video set 3! For those new to the community Stat Snax are short videos (5-10 minutes) on key statistical concepts teaching non statisticians. The list below outlines the Videos record in sets 1 and 2 and provide a current list of topics for future videos.   

Video set 1: Stat Snax - YouTube

1. What is a P-Value?
2. What is a confidence Interval?
3. R^2 and R^2 Adjusted
4. Statistical Significance vs Practical Importance
5. What's the difference between an Equivalence Test and a Difference Test?
6. Statistical Process Control vs Statistical Quality Control
7. Interpreting Stability Regression per ICH Q1E
8. Fitting a Model to Stability Data

Soon to be released Video Set 2

1. Scientific Method
2. Statistical Thinking
3. Good Graphical Practices
4. Determining Sample Size
5. Transformation of Data
6. Evaluation of Outliers
7. Non-inferiority testing of standard deviations

Potential Ideas for Video Set 3

• Fixed vs Random lot models for stability data
• D vs I optimal designs
• Retests in case of OOS (n new observations & reportable value)
• Goodness of Model Fit / Model Assumptions
• Using Quality Ranges in a Comparability Study
• High Level description of Bayesian Statistics

All ideas are welcome! Once a list of ideas has been established, the leadership team will ask for volunteers to prepare presentations and record the videos. Suggesting an idea, does not put you on the hook for creating a video. Please add to either the discussion board or the Excel sheet sent by Aili. 

Hi All, 

As the community starts to prepare for the launch of Stat Snax Video Set 2, the leadership team is collecting ideas for video set 3! For those new to the community Stat Snax are short videos (5-10 minutes) on key statistical concepts teaching non statisticians. The list below outlines the Videos record in sets 1 and 2 and provide a current list of topics for future videos.   

Video set 1: Stat Snax - YouTube

1. What is a P-Value?
2. What is a confidence Interval?
3. R^2 and R^2 Adjusted
4. Statistical Significance vs Practical Importance
5. What's the difference between an Equivalence Test and a Difference Test?
6. Statistical Process Control vs Statistical Quality Control
7. Interpreting Stability Regression per ICH Q1E
8. Fitting a Model to Stability Data

Soon to be released Video Set 2

1. Scientific Method
2. Statistical Thinking
3. Good Graphical Practices
4. Determining Sample Size
5. Transformation of Data
6. Evaluation of Outliers
7. Non-inferiority testing of standard deviations

Potential Ideas for Video Set 3

• Fixed vs Random lot models for stability data
• D vs I optimal designs
• Retests in case of OOS (n new observations & reportable value)
• Goodness of Model Fit / Model Assumptions
• Using Quality Ranges in a Comparability Study
• High Level description of Bayesian Statistics

All ideas are welcome! Once a list of ideas has been established, the leadership team will ask for volunteers to prepare presentations and record the videos. Suggesting an idea, does not put you on the hook for creating a video. Please add to either the discussion board or the Excel sheet sent by Aili. 

Hi All, 

As the community starts to prepare for the launch of Stat Snax Video Set 2, the leadership team is collecting ideas for video set 3! For those new to the community Stat Snax are short videos (5-10 minutes) on key statistical concepts teaching non statisticians. The list below outlines the Videos record in sets 1 and 2 and provide a current list of topics for future videos.   

Video set 1: Stat Snax - YouTube

1. What is a P-Value?
2. What is a confidence Interval?
3. R^2 and R^2 Adjusted
4. Statistical Significance vs Practical Importance
5. What's the difference between an Equivalence Test and a Difference Test?
6. Statistical Process Control vs Statistical Quality Control
7. Interpreting Stability Regression per ICH Q1E
8. Fitting a Model to Stability Data

Soon to be released Video Set 2

1. Scientific Method
2. Statistical Thinking
3. Good Graphical Practices
4. Determining Sample Size
5. Transformation of Data
6. Evaluation of Outliers
7. Non-inferiority testing of standard deviations

Potential Ideas for Video Set 3

• Fixed vs Random lot models for stability data
• D vs I optimal designs
• Retests in case of OOS (n new observations & reportable value)
• Goodness of Model Fit / Model Assumptions
• Using Quality Ranges in a Comparability Study
• High Level description of Bayesian Statistics

All ideas are welcome! Once a list of ideas has been established, the leadership team will ask for volunteers to prepare presentations and record the videos. Suggesting an idea, does not put you on the hook for creating a video. Please add to either the discussion board or the Excel sheet sent by Aili. 

Hi All, 

Volunteers are needed to help create and record the Stat Snax. Please reply to this thread if you are interested in volunteering. Here are the topics still needing presenters: 

1. D vs I optimal Designs
2. Monte Carlo Simulations
3. Data Management/Cleaning
4. What is a Tolerance Interval? 

All volunteers need to be identified by April 5th. This would then allow sufficient time to submit the AAPS webinar form, create and review presentations, and record the Stat Snax to be ready for release by October 20th at PharmSci360. 

Video Set 1 had great viewership and was one of the most viewed AAPS series in 2022. You're hard work on these does not go unnoticed!

Hi All, 

As the community starts to prepare for the launch of Stat Snax Video Set 2, the leadership team is collecting ideas for video set 3! For those new to the community Stat Snax are short videos (5-10 minutes) on key statistical concepts teaching non statisticians. The list below outlines the Videos record in sets 1 and 2 and provide a current list of topics for future videos.   

Video set 1: Stat Snax - YouTube

1. What is a P-Value?
2. What is a confidence Interval?
3. R^2 and R^2 Adjusted
4. Statistical Significance vs Practical Importance
5. What's the difference between an Equivalence Test and a Difference Test?
6. Statistical Process Control vs Statistical Quality Control
7. Interpreting Stability Regression per ICH Q1E
8. Fitting a Model to Stability Data

Soon to be released Video Set 2

1. Scientific Method
2. Statistical Thinking
3. Good Graphical Practices
4. Determining Sample Size
5. Transformation of Data
6. Evaluation of Outliers
7. Non-inferiority testing of standard deviations

Potential Ideas for Video Set 3

• Fixed vs Random lot models for stability data
• D vs I optimal designs
• Retests in case of OOS (n new observations & reportable value)
• Goodness of Model Fit / Model Assumptions
• Using Quality Ranges in a Comparability Study
• High Level description of Bayesian Statistics

All ideas are welcome! Once a list of ideas has been established, the leadership team will ask for volunteers to prepare presentations and record the videos. Suggesting an idea, does not put you on the hook for creating a video. Please add to either the discussion board or the Excel sheet sent by Aili.