Continuing Education/Methods Implementation Workshop

Continuing Education/Methods Implementation Workshops are scheduled on the third Friday of each month at 1pm-2pm in the large conference room (11105). If you would like to learn more about a particular topic or interested in presenting, please send an email.
  • 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.

Topic attachments
I Attachment Action Size Date Who Comment
CTSaunders_CausalDiagrams.pdfpdf CTSaunders_CausalDiagrams.pdf manage 8143.1 K 22 Apr 2019 - 13:45 RunFan  
KeepingUpWithGenderSexRaceEthnicity-20190117.pdfpdf KeepingUpWithGenderSexRaceEthnicity-20190117.pdf manage 3060.1 K 18 Jan 2019 - 13:37 LaurieSamuels Slides from 18 Jan 2019 presentation
Topic revision: r47 - 16 May 2022, RunFan

This site is powered by FoswikiCopyright © 2013-2022 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Vanderbilt Biostatistics Wiki? Send feedback