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Biostatistics & Medical Research
In biostatistics and medical research, statistical analysis often begins in the planning phase to determine appropriate design and sample size requirements to detect the effects of interest. Statistics can then be used to draw inferences from the experiment to the underlying population.

We can work with you on projects of any complexity and at any stage of the process. We have experience with advanced methodologies including survival analysis, semiparametric and nonparametric models, power analysis, hierarchical / multilevel models, generalized linear models, survey methods, and Bayesian statistics.

Projects involving the use of these methods include:
  • Using survival analysis to determine if there is a difference in survival rates between green tea drinkers and those who do not drink green tea.
  • Using mixed effects logistic regression models to determine dietary factors that affect the onset of Type II Diabetes based on 800 households in the Northeast.
  • Using Chi-square tests of association in case-control studies to determine if smoking is linked to the development of lung cancer.

Please contact us for a free consultation.
Biostatistics & Medical Research
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