Reporting Results

Now that you’ve successfully conducted your study, it’s time for you to share your findings in a way that best complements your research. The resources here are meant to help guide you through processes related to publishing your results and/or transforming your research into innovation.

Data Analysis 
  • Learning Statistics 
    • Statistical Methods Resources 
      • This resource provides information on how to choose the correct statistical test, and provides resources on regression analysis, survival analysis, and causal inference. 
    • Regression Methods 
      • Welcome to the course notes for STAT 501: Regression Methods. These notes are designed and developed by Penn State's Department of Statistics and offered as open educational resources.
    • Biostats4You
      • Carefully selected and vetted training materials especially suited for a non-statistician audience.
  • Everything you need to know about R
    • This guide provides access to tutorials, books, and learning communities to help you use R.
  • Why use Python
    • Tim Young from CIC (Curtin Institute of Computation) talks about the use of Python at the ‘Tools for Data Analysis: an overview of SPSS, NVivo, R and Python’ session that was held at Robertson Library.
Data Analysis - Quantitative Tools 
  • Statistical Analysis Software (SAS)
    • SAS is an integrated software suite for advanced analytics, business intelligence, data management, and predictive analytics. You can use SAS software through both a graphical interface and the SAS programming language, or Base SAS.
    • GW Affiliates may request a copy of SAS.
  • IBM SPSS - Getting Started
    • IBM SPSS is a software package used for statistical data analysis.
  • Stata
    • Stata is a software package used for statistical data analysis.
  • PASS
    • PASS software provides sample size tools for over 1030 statistical test and confidence interval scenarios.
  • NCSS
    • NCSS software provides a complete and easy-to-use collection of hundreds of statistical and graphics tools to analyze and visualize your data.
Data Analysis - Qualitative Tools
Writing a Manuscript
Publish Your Research
Share Findings
Institutional Contacts
  • GW Writing Center
    • The GW Writing Center offers free, peer-based support to students and faculty from across the university.
  • Research Launcher
    • The CTSI-CN Research Launcher is a resource designed to help anyone involved in clinical and translational research find the support they need to advance their research. Our Navigators will guide you through the Research Launcher process and connect you with the expertise, resources, tools, and services needed to accelerate your research.