PSIAIMS/CAMIS
Mar 2025 – May 2025
3 Months active
Languages Used
RMarkdownR MarkdownSAS
Technical Skills
Clinical Trial DesignR ProgrammingStatistical AnalysisClinical TrialsData AnalysisDocumentation
Tomczyk
PROFILE
Tomczyk
Agnieszka Tomczyk developed a suite of R-based tools and documentation for the PSIAIMS/CAMIS repository, focusing on sample size and power calculations for clinical trials. She implemented modules supporting superiority, equivalence, and crossover trial designs, leveraging R packages such as samplesize, pwr, TrialSize, and SampleSize4ClinicalTrials. Her work included end-to-end documentation in R Markdown, cross-referencing SAS and R implementations, and providing practical usage examples to facilitate reproducibility. By integrating statistical analysis and technical writing skills, Agnieszka enabled faster, data-driven study planning and improved artifact quality, demonstrating depth in both code development and comprehensive, literature-backed documentation practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
4
Lines of code
666
Activity Months3
Your Network
31 peopleSame Organization
@parexel.com2
Work History
May 2025
1 Commits • 1 Features
May 1, 2025Concise monthly summary for CAMIS (PSIAIMS) - May 2025 focused on delivering value through targeted enhancements and robust code.
1 Commits • 1 Features
May 1, 2025Concise monthly summary for CAMIS (PSIAIMS) - May 2025 focused on delivering value through targeted enhancements and robust code.
May 2025
April 2025
6 Commits • 2 Features
Apr 1, 2025April 2025 (PSIAIMS/CAMIS) delivered two high-value features with strong business impact and enhanced reproducibility for clinical trial planning and analysis. Implemented end-to-end documentation and R-based tooling to support researchers in power and sample size calculations across multiple study designs, while maintaining cross-language references (SAS → R) and ensuring artifact quality through targeted QA fixes.
April 2025
6 Commits • 2 Features
Apr 1, 2025April 2025 (PSIAIMS/CAMIS) delivered two high-value features with strong business impact and enhanced reproducibility for clinical trial planning and analysis. Implemented end-to-end documentation and R-based tooling to support researchers in power and sample size calculations across multiple study designs, while maintaining cross-language references (SAS → R) and ensuring artifact quality through targeted QA fixes.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for PSIAIMS/CAMIS: Delivered an R-based sample size calculation module for superiority trials, including support for parallel and crossover designs; uses samplesize, pwr, and stats packages with literature references. Initial commit established core functionality (commit: d8704d68ead95bc6c6dcfd00ff79a4c8196721e2). No major bugs reported; minor refactors planned. Business impact: enables accurate, faster study planning and power estimation, supporting go/no-go decisions and resource planning. Technologies/skills demonstrated: R programming, statistical design (power/sample size), usage of established packages, literature-backed implementation.
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for PSIAIMS/CAMIS: Delivered an R-based sample size calculation module for superiority trials, including support for parallel and crossover designs; uses samplesize, pwr, and stats packages with literature references. Initial commit established core functionality (commit: d8704d68ead95bc6c6dcfd00ff79a4c8196721e2). No major bugs reported; minor refactors planned. Business impact: enables accurate, faster study planning and power estimation, supporting go/no-go decisions and resource planning. Technologies/skills demonstrated: R programming, statistical design (power/sample size), usage of established packages, literature-backed implementation.
March 2025
Activity
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Quality Metrics
Correctness92.6%
Maintainability92.6%
Architecture92.6%
Performance87.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownRR MarkdownSAS
Technical Skills
Clinical Trial DesignClinical TrialsData AnalysisDocumentationR ProgrammingStatistical AnalysisTechnical Writing
Repositories Contributed To
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