Our Blog

Our blogs cover all areas of Biostatistics, SAS Programming, Medical Writing, AI in Clinical trials and everything related to clinical research.

Adding values to clinical trials: decentralized clinical trials and tech enabled clinical operations

Author: MW & Biometrics team – Genpro It’s not important how many pieces you have, but how you connect them that leads to the result. Had anybody ever thought about maximal use of electronic means for clinical trial operations before...

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Clinical Trial Diversity: An Emerging Paradigm in Outcomes Research

Author: Genpro MW & Evidence synthesis team “The enjoyment of the highest attainable standard of health is one of the fundamental rights of every human being without distinction of race, religion, political belief, economic or social condition” – Dr Tedros...

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Sample Size Determination and Power Calculation – A Comparison Between SAS and R Programming

Author: Genpro SAS/R Programming Team Choosing the proper sample size for an investigation is one of the crucial jobs required of a statistician. Regardless of whether the statistician is deciding the number of patients to select in a clinical trial,...

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CDISC Programming: Importance of Custom Checks

Author: Genpro Statistical Programming Team SDTM-domain structures and relationships are similar across studies under a therapeutic area which leads to code standardization and reusability. Interim data transfers also come with changes in data leading to rerun of existing programs with...

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Artificial Intelligence (AI) Innovations in Clinical Research

Author: Thalla Sanjeeva Reddy – Clinical SAS Programmer at Genpro Introduction Majority of drugs take about 10 years or more to come to market, cost billions, and have a potential to even demolish an organization in certain cases where the late-stage trials...

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Harnessing AI to expedite evidence generation & reporting

Authored by:   MW & Evidence Team at Genpro Research Inc. Given the ever-increasing advocacy and preferences for evidence-based healthcare models, clinicians and the research community have been emphasizing and relying on high-quality evidence. On the other hand, the rapid proliferation...

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Biostatistics Case Study #02: To study the difference in the impact of Unblinded and Blinded Sample Size Re-estimation (SSR) methods when there is uncertainty regarding the actual effect size

Author: Genpro Statistics Team Multiple imputation is highly recommended as a valid method for handling missing data. It eliminates the disadvantages of reduction in statistical power and under estimation of standard errors in single imputation. SAS, an established software having...

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Biostatistics Case Study #01: Interim Analysis using Adaptive Randomization

Adaptive randomization refers to any scheme in which the probability of treatment assignment changes according to assigned treatments of patients already in the trial. The covariate adaptive randomization (CAR) is usually used instead of pure randomization to reduce the covariate...

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