Postgraduate Certificate in Data Management Techniques with R for Clinical Trials
-- ViewingNowPostgraduate Certificate in Data Management Techniques with R for Clinical Trials: This certificate course highlights the importance of data management in clinical trials using R programming. With the increasing industry demand for professionals skilled in data management, this course is essential for career advancement in healthcare, pharmaceutical, and biotech sectors.
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โข Introduction to Data Management Techniques with R: Overview of data management techniques, focusing on R as a tool for data manipulation, cleaning, and organization.
โข Data Structures in R: Exploring vectors, matrices, data frames, and lists in R.
โข Data Import and Export in R: Handling data import and export using various R packages, including readr, foreign, and haven.
โข Data Cleaning and Preparation: Techniques for data cleaning, missing value imputation, and data preparation for clinical trial analysis.
โข Data Analysis and Visualization with R: Introduction to statistical analysis and data visualization techniques using R, including base R graphics and ggplot2.
โข Replicating Clinical Trial Data Analysis in R: Step-by-step guide on how to replicate clinical trial data analysis in R, including t-tests, ANOVA, and regression analysis.
โข Data Security and Compliance in Clinical Trials: Overview of data security and compliance requirements in clinical trials, including HIPAA and GDPR.
โข Reproducible Research with R: Techniques for creating reproducible research using R Markdown and other R packages.
โข Data Management Best Practices for Clinical Trials: Best practices for data management in clinical trials, including data validation, quality control, and documentation.
โข Case Studies in Clinical Trial Data Management with R: Real-world case studies in clinical trial data management using R.
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