Services
TFL Programming
Generation and validation of Statistical data sets and tables/listings/figures based on the parameters mentioned in the Protocol, Statistical Analysis Plan and STL Template. Our expert Statistical programmers usually come with a background in bio statistics and have been trained in ICH/GCP and Clinical SAS Programming fundamentals. Ongoing review sessions along with the statisticians give them ample exposure to the statistical analysis plan. All the generated TFLs will go through a QC procedure.
Phase I PK/PD
We engage in preparing study designs and research protocols for pharmacokinetic studies along with evaluation and generation of pharmacokinetic parameters. Genpro offers Phase I PK/PD analysis, Statistics and Clinical Reporting capabilities
- Use of standard SAS macros for Non-Compartmental Analysis or Compartmental Analysis
- Use of R and MS Excel for population PK/PD, modelling and simulation analysis
- Reporting of all analysis in accordance with guidelines
- Regulatory-compliant PK/PD data management
SAS Viya
Access the capabilities of SAS via REST APIs. REST APIs provide a way to access the capabilities of SAS Viya using standard, open HTTP network protocols. With SAS’ REST APIs, you can create and access SAS resources using any client technology, such as Java, Lua, Python, JavaScript, C, C#, Perl, Scala, or other programming languages. All that is necessary is a standard library for executing HTTP requests and parsing/generating JSON data.
CDISC Services
Migrate legacy database to Study Data Tabulation Model (SDTM) standards and Analysis dataset model(ADaM). Genpro has highly active, ushered Statistical programmers with expertise to migrate legacy database to Study Data Tabulation Model (SDTM) standards and Analysis dataset model(ADaM) in compliance with FDA and CDISC requirements with ensured quality. Our team is always updated with the latest versions of Guidelines published by CDISC.
Biomarker Analysis
Standardized Statistical toolbox for biomarker analysis using trial data. These tools will be used to assess the quality of biomarker data, identify the potential error measurement of biomarker value, reveal the correlation among different biomarker variables, investigate the association between biomarker and clinical outcomes (such as response rate, survival duration, adverse event etc).
ISS / ISE & Regulatory Submission Support
Standardized Statistical toolbox for biomarker analysis using trial data. These tools will be used to assess the quality of biomarker data, identify the potential error measurement of biomarker value, reveal the correlation among different biomarker variables, investigate the association between biomarker and clinical outcomes (such as response rate, survival duration, adverse event etc).
Contact Us
Send a Message
For questions or general inquiries, drop us a message
