Title: Continuing Education for Masters Biostatisticians- Third Thursday of the month. Participants: Tebeb Gebretsadik, William Wu

Brief description:

The objective of this project is to assist and facilitate the continuing education of Masters level biostatisticians through monthly seminars on biostatistical and technical skills. It will require the participation of each biostatistician to be involved in learning and/or teaching these skills. The seminar on each specific biostatistical method/skill would be considered successful when the biostatistician would have enough background and technical tools to start using it. General topics or theoretical topics can be referred or presented as background but the session will be a practical summary that outlines every thing the biostatistician needs to go back to his/her office and implement the tool. Continuing education series will also include writing seminars covering grants and manuscript related writings.
  • Continuing Education 2013: Winter,Spring Summer and Fall
    • January 17th. Dr. Chun Li. Ordinal Data Analysis.
    • February 28th. Dr. David Afshartous. Data Snooping in Multilevel and Mixed-Effects Models.
    • April 18th. Amy Graves. High Deductible Health Plans and Change in Birth Rate: An application of Quasi-Experimental Evaluation Methods.
    • June 20th. Alex Zhao. R Functions to Facilitate and Increase Efficiency of Data Management and Analysis.
    • August 15th. Dr. Rameela Chandrasekhar. Limit of Detection Problems for Repeated Measures Data.
    • September 19th. Dr. Frank Harrell. Knitr tool for Reproducible Research.
  • Continuing Education 2012: Winter,Spring Summer and Fall
    • January 19th. Sharon Phillips. AHRQ-Revisit Files
    • March 29th. Dr. Matt Shotwell.Applied Nonparametric Bootstrap with Hierarchical and Correlated Data.
    • April 19th. Dr. Pengcheng Lu. An Introduction to Penalized Regression Methods.
    • June 21st. Dr. Frank Harrell. Statistical Principles to Live by.
    • August 16th. Kang-Hsien Fan Introduction to Geospatial Data Visualization and Geographically Weighted Regression (GWR).
    • September 20th. Dr. Frank Harrell. Why the Central Limit Theorem Doesn't help.
    • November 29th. Daniel Byrne. Statistical Innovations that can Benefit your Career - The Studio.
    • December 20th. Dr. Chris Fonnesbeck. Interactive and Reproducible Statistical Modeling and Reporting using iPython.
  • Continuing Education 2011: Winter,Spring Summer and Fall
    • January 19th. Alex Zhao. Introduction to R Functionality with Illustrations.
    • February 18th. Theresa Scott. rms and Design R packages.
    • March 17th. Dr. Patrick Arbogast.Disease Risk Scores in practice.
    • April 21st. Dr. Cindy Chen. Missing Data-When Can you Worry Less.
    • May 19th. Dr Frank Harrell. Statistical Methods and Statistical Pitfalls in biomarker research.
    • June 16th. Dr.Chris Fonnesbeck. Multimodel inference using AIC.
    • July 21st. Dr. Lynn Walker.Overcoming writer's block: Tips for being a productive writer
    • August 25th. Samuel Nwosu. Ordinal logistic regression with random effect. Predicting veterans satisfaction.
    • September. JSM presentations.
    • October 20th. Dr. Robert Greevy and Cole Beck. Performing optimal nonbipartite matching in R using nbpMatching.
    • November 17th. JoAnn Alvarez. Introduction to Bayesian adaptive clinical trial designs.
    • December 18th. Meridith Blevins. A brief overview of multidimensional poverty and a quantitative technique for measuring and comparing capabilities

  • Continuing Education 2010: Winter,Spring Summer and Fall
    • December 16th Jennifer Thompson.Power in the Case of Extreme Bimodal Data.
    • November 18th.JSM highlights. Presentations by attendees.
    • October 21st Ayumi Shintani. Immortal time bias in critical care research: application of time-varying Cox regression for observational cohort studies.
    • September 16th Cathy Jenkins. Marginal Structural Models: What I've Learned So Far.
    • August19th Meridith Blevins.Two-stage cluster survey sampling and analysis: A complex survey in Zambezia Province, Mozambique.
    • July 29th Lily Wang. A Generalized linear mixed model for pathway analysis of genome-wide association studies.
    • Svetlana Eden and Jennifer Thompson-June 15th and 16th (Judith Swan) and July 21st (Rafe Donahue) Writing and Graphics Seminars.
    • May 27th Dr.Ben Saville. Introduction to Bayesian methods and implementation via OpenBUGS.
    • April 29th Dr.Fei Ye. Statistical analysis of high-throughput data RNAi screening data.
    • March 18th Dr.Chang Yu. Design and analysis of cross-over trials.
    • February 18th Li Wang. An introduction and example of competing risk analysis using R.
  • Continuing Education 2009: Winter,Spring, Summer and Fall
    • December 18th Dr.Tatsuki Koyama. Statistical Methods for Biomarker Discovery.
    • November 19th Theresa Scott. Survival analysis in R.
    • October 29th Elizabeth Koehler. Presentation on resampling methods with focus on bootstrap technique and smulation for sample size calculations.
    • September 18th Dr.Mario Davidson. Challenges of Consulting: Experiences of Real Biostatisticians.
    • August 20th Dr.Irene Feurer. A comparison of exploratory and confirmatory approaches to principal components analysis.
    • June 18th Dr.Jeffrey Blume. A discussion on ROC curves.
    • May 15th Dr.Frank Harrell. A discussion on model validation, penalty and shrinkage analysis.
    • Apr 30th Nate Mercaldo. Beamer me Up Scotty: An introduction to making handouts, posters and presentations in Latex.
    • Mar 19th Dr.William Dupont. Dr. Bill Dupont will discuss and demonstrate power and sample size calculations using the new version of his PS software.
    • Feb 19th Dr.Frank Harrell. A discussion of state of the art statistical methods and why we should use them for specific research questions.
    • Jan 15th Dana Blakemore. R Graphics-An introduction to GGplot.

  • Continuing Education 2008 Winter,Spring Summer and Fall
    • Dec 18th Daniel Byrne 30 most commonly used statistical methods.
    • Nov 20th Lisa Kaltenbach. Poisson Regression. Let me count the use!
    • Oct 16th Dan Ayers. Introduction to the Likelihood Measure of Statistical Evidence.
    • Sep 18th Dr. Paul Harris. A software toolset and workflow methodology (REDCap - Research Electronic Data Capture) to manage research data for research studies.
    • August 14th Dr. Patrick Arbogast. To Propensity Score or Not Propensity Score, That is the Question.
    • July 15 Dr.Leena Choi. How to Use Bayesian Methods in Clinical Research.
    • June 15 Daniel Byrne. How to write a grant.
    • May 15 Dr.Ayumi Shintani. The Proportional Odds Model.
    • May 1st Dr.Bryan Shepherd. Linear Mixed Effects Analysis in R, Part 2.
    • Apr 17 Dr.Bryan Shepherd. Linear Mixed Effects Analysis in R.
    • Mar 20 Dr.Jonathan Schildcrout. Analysis of Longitudinal Data, Part 2.
    • Mar 13 Dr.Jonathan Schildcrout. Analysis of Longitudinal Data.
    • Feb 21 Theresa Scott. R Graphics

  • Continuing Education Winter,Spring Summer and Fall 2007.
    • Nov 15 Gene Gallagher Compliance Officer Institutional Review Board
    • Oct 18 Jennifer Thompson.Bootstrap Confidence Interval for Difference of Two Means ( handout and R code).Angel An. Data Simulation in R.
    • Sept 20 Dr.Frank Harrell.Update Data Reduction Methods (Post-poned).
    • Aug 16 Joint Statistical Meeting 2007 and User R conference.Share notes statistical courses and lectures attended and presented JointStatisticalmeeting2007.pdf.
    • July 21 Dr.Rafe Donahue.The Nature of Data Analysis
    • June 21 Lisa Kaltenbach.Insights from Wayne Ray's Epi II class
    • May 17 Dr. Chun Li.Part 2-Statistical analysis of genetic data
    • Apr 19 Dr. Yu Shyr.How to consult efficiently with investigators --- a case study of clinic trials
    • Mar 15 ENAR participants will present on statistical courses and lectures attended.
    • Feb 19 Dan Ayers Sample size calculation for survival analysis
    • Jan 18 Svetlana Eden. Introduction to string matching and modification in R using regular expression.

  • Continuing Education Series Fall 2006.
    • Dec 21 No meeting.
    • Nov 16 Dr. Chun Li. Part1-Statistical analysis of genetic data.
    • Oct 19 Heidi Chen. Tips for survival analysis: competing risk, time dependent covariates. Discussion by Dan Ayers
    • September 21 Dr. Frank Harrell presented on imputation methods.

  • Continuing Education Series of writing seminars Summer 2006.

    • August 17 Lynne Hutchinson lead a workshop in grant writing.
    • July 13 Daniel Byrne presented the first serie of grant writing seminar.

  • Upcoming Continuing Education (5th Thursday of the month)
    • June 29th Theresa Scott presented on Statistical Graphics in R.

  • Continuing Education (3rd Thursday of the month-May 18th)

  • Continuing Education (3rd thursday of the month-April 13th)

  • Continuing Education (3rd thursday of the month-March 16th)

  • Continuing Education (3rd thursday of the month-March 9th)
    • Dr. Chuan Zhou presented on an interesting Bayesian analysis topic: Meta Analysis and Logistic Regression.

Topic revision: r22 - 12 Jun 2014, TebebGebretsadik
 

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