Statistical Programming - Pharmaceutical Business review

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Statistical Programming

Statistical programming in SAS® and R languages
Data analysis, including designing analysis data sets, statistics, interim analysis, customised DSMBs (also posted via secure web site)
Reporting of results, production of analysis summaries: production of tables listings figures (TLF) according to client’s needs
Exploratory analyses for publications, abstracts and marketing
Double independent validation
CDISC data conversion (SDTM, ADaM)
Graphical patient profiles
Collaboration on ad hoc analyses, regulatory interactions, applications (IND) and annual safety report, reconciliation of safety data
Pharmacokinetics analysis
Programming support for data cleaning and discrepancy management
Creation, validation and auditing of clinical database and data warehouse