Undergraduate Certificate in Advanced R for Clinical Trials Analysis
-- ViewingNowThe Undergraduate Certificate in Advanced R for Clinical Trials Analysis is a comprehensive course designed to equip learners with essential skills in clinical trials data analysis using R, a powerful statistical software. This program is crucial in today's industry, where there's an increasing demand for professionals who can analyze and interpret complex clinical data.
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โข Advanced R Programming: This unit covers the advanced concepts of R programming and data manipulation. It includes topics such as data structures, functions, loops, and conditional statements.
โข Statistical Analysis in R: This unit focuses on the application of statistical methods in R. It includes topics such as hypothesis testing, regression analysis, and analysis of variance (ANOVA).
โข Data Visualization in R: This unit covers the creation of visualizations in R using libraries such as ggplot2. It includes topics such as creating scatter plots, bar charts, and line graphs.
โข Clinical Trials Data Management: This unit covers the best practices for managing clinical trials data. It includes topics such as data cleaning, data validation, and data quality control.
โข Survival Analysis in R: This unit focuses on the use of survival analysis in R. It includes topics such as Kaplan-Meier survival curves, Cox proportional hazards models, and competing risks analysis.
โข Clinical Trials Simulation: This unit covers the use of simulation in clinical trials. It includes topics such as designing and implementing simulation studies, and interpreting the results.
โข Machine Learning in R: This unit covers the use of machine learning techniques in R. It includes topics such as supervised and unsupervised learning, and model evaluation.
โข Reproducible Research: This unit covers best practices for conducting reproducible research. It includes topics such as version control, data management, and documentation.
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