At Nfojo, we understand that biostatistics isn’t just a subset of statistics, but its own field.

Because of the significant impact and broad implications for medical research and public health, we ensure that you use the appropriate statistical tests and predictive techniques when we analyze your clinical research, disease or disorder incidence, and meta-analytic data. In the early stages of development, these services include the following:

• Grant research, writing, and editing (including literature search)
• IRB submission
• Protocol review
• Methodology review and design
• Statistical sampling and validation
• Questionnaire/interview protocol development and expert review
• Feasibility analysis

Once initial research and/or clinical trials are completed, we also provide assistance in the following areas:

• Statistical analysis and interpretation for any and all typical analytical procedures used in biostatistics research, such as:
  • Kaplan-Meier Survival Analysis
  • Cox Regression
  • Structural Equation Modeling (as implemented in MPLUS, AMOS and LISREL)
  • Multilevel Linear and Nonlinear Models
  • Bayesian Analysis based on Markov Chain Monte Carlo methods
  • Meta-analysis
  • Knowledge graphing for “big” dataset development (public health, epidemiology)
  • Machine learning estimation techniques for large scale and high dimensional public health and epidemiological datasets

   

• Additional support with qualitative analysis for any mixed methods studies or follow-up qualitative research (open-ended questionnaires, focus groups, or interviews)
• Manuscript editing based on journal reviewers’ feedback