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    • Ph.D. in Clinical Investigation (PCI)

      The Ph.D. in Clinical Investigation provides rigorous advanced training that prepares you for an indepenedent research career in clinical and translational science.

      • The Einstein-Montefiore PCI track can prepare you to conduct research that will improve the health and welfare of society using clinical and translational research methodology.
      • PCI is offered for Ph.D. students enrolled in Einstein's graduate division and for M.D./Ph.D. students in Einstein's Medical Scientist Training Program (MSTP).

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      MS in Clinical Research Methods (CRTP)

      The Master of Science (MS) in Clinical Research Methods is attained through the Clinical Research Training Program (CRTP). This intensive two-year program is designed for those pursuing a career in investigator-initiated, hypothesis-driven clinical research. CRTP scholars are drawn from all of Einstein's medical specialties and subspecialties, including those interested in clinical investigation across the entire translational research spectrum, from mechanistic studies to population-based and health services research. The comprehensive program combines didactic learning and coursework with a mentored research experience.

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BERD House

BERD House

The BERD House is an online biostatistics resource managed by the BERD core. This resource includes guidelines for preparing a data set, statistical tools, links to statistics software, statistics training opportunities, and other statistics resources.

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.

Biostatistics 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

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
  • Machine Learning: The basics
  • Parametric vs non-parametric tests
  • Standard Deviation vs Standard Error
  • Box and Whisker Plots
  • QQ Plots

R software resources and tutorials

  • How to download R
  • Basic Syntax in R Programming
  • R for Beginners
  • Intro to R for Medical Data
  • R Learing Resources
  • Creating figures in R
  • Video Tutorials
  • Courses

R code for common statistical tests and models

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

Other statistical software

How to Get License

  • SPSS: Request via IT portal
  • SAS: Email request
  • Graphpad Prism: Request via IT portal
  • Einstein software list

Other statistics resources

  • UCLA IDRE
  • VASSAR Stats
  • Columbia Univ. Population Health Methods

Leadership

  • Mimi Kim, Sc.D.

    Mimi Kim, Sc.D.

    Director, Biostatics, Epidemiology & Research Design Core

  • Melissa J. Fazzari, Ph.D., M.S.

    Melissa J. Fazzari, Ph.D., M.S.

    Associate Director

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