Data Bloom also provides statistical and data consulting for researchers. 

Whether you are a researcher planning a study and trying to understand what data to collect, or someone hoping to make sense of their data, or you need someone to implement your analysis plan, Data Bloom can help.

Application Areas

Data Bloom provides consulting in a variety of application areas, including:
  • Health analytics
  • Clinical trials
  • Mobile health
  • Learning analytics and educational statistics
  • Biostatistics
  • Sequential decision making


Data Planning, Collecting, & Organizing:

Ensure you have the right data to answer your research questions through:

  • Study design
  • Developing an analysis plan
  • Experimental design
  • Sample size calculations and power analysis
  • Developing a data collection strategy
  • Survey design
  • Data cleaning
  • Data scraping
Data Analysis

Analyze your data to answer research questions by performing:

  • Regression analysis and generalized linear modeling
  • Random effects and mixed modeling
  • Time series and longitudinal data analysis
  • Exploratory data analysis
  • Treatment effect estimation
  • Missing data techniques
  • Causal inference
  • Predictive analytics
  • Categorical data analysis 
  • Meta-analysis
  • Statistical computation and software support
Data Reporting & Visualization

Report your methods and results by:

  • Writing statistical methods and analysis sections for grants
  • Writing methods and results sections of publications
  • Creating visualizations