鉃� Development of statistical analysis plan based on hypothesis/study questions and data.
鉃� Data importing/ data manipulation/ data slicing and dicing of Real World Data like medical administrative claims, clinical trials data, epidemiological data, registries and medical prescription data (EMR) with SQL, SAS, R, excel and Python
鉃� Descriptive statistics, inferential statistics, and model building and model implementation like linear regression models, generalised linear models, survival analysis and mixed models
鉃� Binomial and multinomial propensity cohort modeling, medical possession ratio, incidence rate ratio, prevalence ratio, missing data handling and sample size calculation...
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