BERD House an online biostatistics resource managed by the Biostatistics, Epidemiology and Research Design (BERD) core of the ICTR Melissa J. Fazzari, Ph.D., M.S.BERD Director ICTR Biostatistics Core Biostatistics virtual walk-in clinic: Meet with a biostatistician without an appointment and obtain quick advice on your project. Every Tuesday virtual walk-in support between 3 - 5 pm via the following zoom link: https://einsteinmed.zoom.us/j/96403655408 Melissa J. Fazzari, Ph.D., M.S.BERD Director ICTR Biostatistics Core The AECC and ICTR are jointly sponsoring a new course “Design and Analysis of Clinical Trials”. This 8-lecture course is given via Zoom on Mondays 2-3:30pm between February 2nd and April 6th. It will cover the essential principles and phases of clinical trials. Topics addressed include the key elements of clinical trials in humans, different trial designs, procedures, and analytic approaches. The course is intended for health professionals seeking to understand the critical role of clinical trials in advancing healthcare and the development of new treatments. Participants will obtain a foundational understanding of how clinical trials are designed, conducted, and analyzed. For registration contact crtp@einsteinmed.edu (CRTP students) or ofd@einsteinmed.edu (for non-CRTP members of Montefiore-Einstein including the cancer center investigators). The cancer center investigators can register for the whole course or choose to attend for any topics they are interested. All Einstein–Montefiore faculty and students are eligible to participate in the course. All scholars who wish to take the course for (CRTP) credit should complete class homework and final projects. For course content, please contact Dr. Kim at ryung.kim@einsteinmed.edu. Click here to view syllabus Statistics, Machine Learning, and Data Science Training: Getting Started Biostatistics Support and Guidelines Who can I meet with to discuss my project? The Division of Biostatistics offers biostatistics consulting and collaboration to enhance the quality and rigor of scientific research conducted by investigators at Einstein and Montefiore. Longer-term collaborations: Appointments with biostatistics faculty are available by appointment only. How do I get my data set ready for analysis? Best Practices Statistical Methods Common Statistical Tests How to Construct a Demographics Table An Introduction to Statistical Power An introduction to Logistic Regression Parametric vs non-parametric tests Standard Deviation vs Standard Error Box and Whisker Plots QQ Plots What is the Area under the ROC curve? Machine Learning Machine Learning: The basics Intro to Random Forest Gradient Boosting Tutorial An introduction to Penalized Regression Cost Functions Data Science 101 ICTR DS 101 Lecture 1 Slide Deck - DATA WRANGLING ICTR DS 101 Lecture 1 Video - DATA WRANGLING ICTR DS 101 Lecture 2 - CONCEPTS IN BIOSTATISTICS ICTR DS 101 Lecture 2 Video - CONCEPTS IN BIOSTATISTICS ICTR DS 101 Lecture 3 - MACHINE LEARNING ICTR DS 101 Lecture 3 Video - MACHINE LEARNING ICTR DS 101 Lecture 4 - ELECTRONIC HEALTH RECORDS ICTR DS 101 Lecture 4 Video - ELECTRONIC HEALTH RECORDS ICTR DS 101 Lecture 5 - OMICS DATA ANALYSIS ICTR DS 101 Lecture 5 Video - OMICS DATA ANALYSIS OMICS Data Analysis Intro to Stats for omics Intro to Bulk-RNA ATACseq Study Design and Statistical Power An Introduction to Statistical Power Data Management for Study Coordinators Study Design for Coordinators Journal Club Coming Soon Announcements and Upcoming workshops Coming Soon Software and other Resources: R Software and Sample Codes How to download R Basic Syntax in R Programming R for Beginners Intro to R for Medical Data R Learning Resources Creating figures in R Video Tutorials Courses Continuous outcomes Testing for differences between 2 groups Testing for differences in more than 2 groups Categorical/binary outcomes Testing for association between two categorical variables Estimating a logistic regression model R Workshops: Course Material Workshop 1: Intro to R and RSTUDIO Workshop 2: Intro to R and Tidyverse Other Software Packages SPSS: Request via IT portal SAS: Email request Graphpad Prism: Request via IT portal Einstein software list Additional Resources UCLA IDRE VASSAR Stats Columbia Univ. Population Health Methods
