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Crash course on confounding, bias, and deconfounding remedies using R
Confounding bias is one of the most ubiquitous challenges in estimating effects from observational (real-world data) studies. Confounding occurs when the relationship between a treatment ...
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Factor Levels or Binary Variables? A Case-Study in Statistical Modelling of Bipolar Disorder and the Aging Brain
When do you code your variables as levels in a factor, and when do you enter them as binary variables in a model? As it ...
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Transitioning From Healthcare to Biostatistics? Start Here!
After years in physical therapy, the routine had set in, and the desire for deeper engagement with data and analytics grew stronger. While healthcare offers ...
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Using ChatGPT for Machine Learning (ML): a simple example
Machine learning. The words of the day. The promise of AI, how it will change everything that we will do, from self driving cars to ...
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How to Handle Influential Observations Using R (With Downloadable R Code Notebook)
Much has been said about handling outliers and influential observations, but what exactly do these terms mean and how can we go about dealing with ...
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5 Career Opportunities With a MSC in Biostatistics
💡 Need Career or Education Guidance in Biostatistics? From graduate school admissions to job placement in biostatistics, our team can help guide your educational and ...
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Top Contract Research Organizations (CROs) or Clinical Research Organizations
In the world of drug development, selecting the right Contract Research Organization (CRO) can significantly impact the success of clinical trials. CROs offer a wide ...
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Steps of Drug Development and Biostatistics
Drug development is a complex journey that spans multiple stages, from discovery to market approval. Biostatistics plays a vital role at every phase, providing the ...
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Phases of Clinical Research in Drug Development
The path from drug discovery to market approval unfolds across four crucial phases: discovery, preclinical studies, clinical development, and market approval. Each phase is ...
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Design of Experiment (DOE) Softwares
Design of Experiments (DoE) is a powerful, systematic approach used to explore the relationship between various factors influencing outcomes. By simultaneously examining multiple variables, DoE ...
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Clinical Trial Monitoring
Clinical trial monitoring is an essential and systematic process that ensures the integrity, quality, and safety of clinical trials. By closely reviewing trial conduct, data ...
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Biostatistics in Clinical Research and Trials
Biostatistics is a cornerstone of clinical research and trials, deeply influencing every phase of the process from trial design to final reporting. It is essential ...
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