JGaetaFish / Statistics_Micro-Training

Micro-training materials from the 2022 IEP Workshop

IEP Workshop Statistics Micro-Training Sessions

Whether fresh out of school or a seasoned scientist, this year’s R workshop should have a training session that can help you take your science to the next level. We will have 13 micro-trainings talks that will help guide attendees through a range of topics from data exploration to non-linear regression. Each micro-training will include a 15-minute talk guiding attendees through a specific data analysis step or method followed by a short question and answer period. Each micro-training will also include an IEP-based dataset to analyze, an R script that attendees can use to replicate the presented analysis, and a document that is a companion text to the talk. The users can download these for future reference and to serve as a foundation for future analyses.

The first session, titled “Basic Statistics in R”, will include five micro-trainings to help guide the pre-analysis process and introduce users to several univariate and multivariate approaches to analyze categorical data. The second session, titled “Regression in R”, will have five micro-talks that introduce users to numerous regression approaches from simple linear regression to handling zero-inflated catch data. The final session, titled “Advanced Analytical Topics in R”, will cover mixed-effects regression and introduce users to regression in a Bayesian framework. We encourage attendees to stick around after the last talk for an open Q&A period.

Overall, we hope this workshop will provide tools that can help attendees promote to the next level, increase the impact of their next publication, or even just provide a baseline understanding of a suite of commonly used analytical approaches. We look forward to seeing you all at our micro-trainings on March 23, 2022.

Session 1: Basic Statistics in R (Moderator: Jereme Gaeta)

1. Overview: Workshop plan, a general modeling approach, and a framework for univariate analyses
   • Instructor: Jereme Gaeta (IEP & CDFW)
2. Data Exploration - recorded presentation
   • Instructor: Catarina Pien (DWR)
3. Categorical Predictors: ANOVA and Kruskal-Wallis with multiple comparison tests - recorded presentation
   • Instructor: Emily Ryznar (DSC)
4. Categorical Response: Classification Trees - recorded presentation
   • Instructor: Trinh Nguyen (IEP, CDFW)
5. Multivariate statistics: an introduction to ordination - recorded presentation
   • Instructor: Timothy Malinich (CDFW)

Session 2: Regression in R (Moderator: Jereme Gaeta)

1. Simple linear regression - recorded presentation
   • Instructor: Braden Elliot (SWRCB)
2. Logistic regression - recorded presentation
   • Instructor: Tyler Pilger (FishBio)
3. Discrete catch data: Negative binomial regression - recorded presentation
   • Instructor: Rosie Hartman (DWR)
4. Zero-inflated negative binomial regression - recorded presentation
   • Instructor: Rosie Hartman (DWR)
5. Non-linear data: generalized additive models - recorded presentation
   • Instructor: Jereme Gaeta (IEP & CDFW)

Session 3: Advanced Analytical Topics in R (Moderator: Jereme Gaeta)

1. Mixed effects/hierarchical models Part I: theory - recorded presentation
   • Instructor: Jereme Gaeta (IEP & CDFW)
2. Mixed effects/hierarchical models Part II: analyses - recorded presentation
   • Instructor: Jereme Gaeta (IEP & CDFW)
3. An introduction to regression in a Bayesian framework - recorded presentation
   • Instructor: Sam Bashevkin (DSC)