Continuing Education/Methods Implementation Workshop

• August 4th, 2017. Matt Shotwell. Title: How to Make Approximate Confidence or Credible Intervals for Nearly Any Quantity
• October 20th, 2017. Jeffrey Blume. Title: Using Lasso and Relaxed Lasso in R
• December 7th, 2017. Amber Hackstadt. Title: An Introduction to Propensity Score Methods
• January 19th, 2018. Tatsuki Koyama. Title: Automated CV generation (with publication list!) with R
• February 16th, 2018. Robert Greevy. Title: Why aren't we all taking metformin to prevent cancer? A lesson in HSR study design
• April 20th, 2018. Thomas Stewart. Title: Customizing the look of your R Markdown reports
• May 18th, 2018. Hakmook Kang. Title: An overview of MRI data analysis
• August 17th, 2018. Chang Yu. Title: A chat on multiple comparisons
• September 14th, 2018. Ben Saville. Title: Introduction to Bayesian methods and implementation via R/JAGS
• October 19th, 2018. Hui Nian. Title: Provider profiling with bayesian hierarchical modeling
• November 16th, 2018. Shi Huang. Title: Causal mediation analysis with binary/ordered categorical M/Y
• January 18th, 2019. Laurie Samuels. Title: Keeping up with changing ideas about sex, gender, race, and ethnicity. slides
• March 15th, 2019. Sheau-Chiann Chen. Title: A shiny application for optimal selection of phase I adaptive designs with scenario randomizer
• April 19th, 2019. Christina Saunders. Title: Mediators, confounders, colliders, oh my! Using causal diagrams to decide which variables to adjust for in regression models. CTSaunders_CausalDiagrams.pdf
• August 16th, 2019. Bryan Shepherd. Title: Analyzing continuous response data using ordinal regression models
• September 20th, 2019. Simon Vandekar. Title: Why I think I like effect sizes and why I think you should like effect sizes too
• November 15th, 2019. Frank Harrell. Title: Overview of statistical inference and Bayesian examples for means and proportions
• February 21st, 2020. Hannah Weeks. Title: Extracting medication information form clinical notes using medExtractR.
• April 17th, 2020. Shilin Zhao. Title: RnaSeqSampleSize : real data based sample size estimation for RNA sequencing
• October 16th, 2020. Frank Harrell Title: A new R package rmsb and its Bayesian proportional odds model that is being used in COVID trials
• November 20th, 2020. Ran Tao Title: An Introduction of Mendelian Randomization
• January 15th, 2021. Andrew Spieker Title: Propensity score and matching methods for causal inference
• February 19th, 2021. William Dupont Title: Survival analysis using strata defined by time-dependent propensity scores
• August 20th, 2021. Jing WangTitle: Prediction of targets for two types of (post-)transcriptional regulatory factors: enhancer & RBP

  Enhancer and RNA binding protein (RBP) are two important regulatory elements in transcription and post-transcription stage respectively. To understand the role of these two key regulatory elements, we first need to identify their targets. In this talk, I will discuss how to identify active enhancers & their targets using Nascent RNA Sequencing (PRO/GRO-seq), and how to predict the targets of RBPs by given a candidate RNA sequence and a PWM of a RBP.