
Lyn Taylor enhanced the PSIAIMS/CAMIS repository over eight months by delivering 23 features and resolving key documentation and data issues. She focused on statistical analysis workflows, building out robust documentation for clinical trial methods, sample size calculations, and regression modeling using R, SAS, and Quarto. Her work included cross-language code examples, reproducible reporting assets, and governance materials to support regulatory compliance and onboarding. Lyn improved data integrity through careful data cleaning and preprocessing, while also streamlining project structure for maintainability. The depth of her contributions ensured reliable analytics, clear technical guidance, and efficient collaboration for both analysts and stakeholders.

June 2025 performance summary for PSIAIMS/CAMIS focusing on delivering PSI Conference 2025 coverage and ensuring content reliability. Delivered a new blog post with PSI Conference 2025 content, added supporting images and an attendance table, and updated the main blog index to reference the post. Resolved content display and navigation issues for conference material by correcting image extensions, file references, and PPTX paths. These efforts improved content accuracy, user engagement, and site reliability, with precise asset management across a single repository.
June 2025 performance summary for PSIAIMS/CAMIS focusing on delivering PSI Conference 2025 coverage and ensuring content reliability. Delivered a new blog post with PSI Conference 2025 content, added supporting images and an attendance table, and updated the main blog index to reference the post. Resolved content display and navigation issues for conference material by correcting image extensions, file references, and PPTX paths. These efforts improved content accuracy, user engagement, and site reliability, with precise asset management across a single repository.
Consolidated monthly summary for PSIAIMS/CAMIS (May 2025). Delivered. The work focused on expanding SAS-based statistical capabilities, stabilizing documentation, and improving overall readability and reproducibility. Key features delivered: - SAS Non-Inferiority Sample Size Calculation Page: launched a dedicated page for non-inferiority trials with two-sample and paired designs, including SAS code snippets and practical examples to support planning and study design. - SAS Poisson and Negative Binomial Regression Implementations: added SAS implementations with example data and PROC GENMOD code to facilitate robust modeling and comparison. - Equivalence Testing Documentation Improvements: clarified equivalence testing vs bioequivalence, updated explanations and examples to improve comprehension for practitioners. Major bugs fixed: - Documentation Cleanup and Minor Formatting: performed broad formatting fixes across Quarto docs to improve readability and rendering, including correcting typos, braces, and file naming inconsistencies. Overall impact and accomplishments: - Substantial business value by enabling researchers and analysts to perform SAS-based sample size calculations and regression analyses directly within CAMIS, accelerating study design, analysis workflows, and reporting. - Improved documentation quality reduces onboarding time for new users and lowers support overhead, contributing to higher confidence in statistical methods and reproducibility. - Demonstrated end-to-end capabilities from feature development to documentation hygiene, ensuring maintainable and scalable analytics content. Technologies/skills demonstrated: - SAS programming (data step, procedures like GENMOD) for advanced statistical methods - Quarto-based documentation and content organization - Clear technical writing that differentiates equivalence vs bioequivalence with concrete examples - Version control discipline reflected in updated docs and code snippets
Consolidated monthly summary for PSIAIMS/CAMIS (May 2025). Delivered. The work focused on expanding SAS-based statistical capabilities, stabilizing documentation, and improving overall readability and reproducibility. Key features delivered: - SAS Non-Inferiority Sample Size Calculation Page: launched a dedicated page for non-inferiority trials with two-sample and paired designs, including SAS code snippets and practical examples to support planning and study design. - SAS Poisson and Negative Binomial Regression Implementations: added SAS implementations with example data and PROC GENMOD code to facilitate robust modeling and comparison. - Equivalence Testing Documentation Improvements: clarified equivalence testing vs bioequivalence, updated explanations and examples to improve comprehension for practitioners. Major bugs fixed: - Documentation Cleanup and Minor Formatting: performed broad formatting fixes across Quarto docs to improve readability and rendering, including correcting typos, braces, and file naming inconsistencies. Overall impact and accomplishments: - Substantial business value by enabling researchers and analysts to perform SAS-based sample size calculations and regression analyses directly within CAMIS, accelerating study design, analysis workflows, and reporting. - Improved documentation quality reduces onboarding time for new users and lowers support overhead, contributing to higher confidence in statistical methods and reproducibility. - Demonstrated end-to-end capabilities from feature development to documentation hygiene, ensuring maintainable and scalable analytics content. Technologies/skills demonstrated: - SAS programming (data step, procedures like GENMOD) for advanced statistical methods - Quarto-based documentation and content organization - Clear technical writing that differentiates equivalence vs bioequivalence with concrete examples - Version control discipline reflected in updated docs and code snippets
April 2025 performance summary for PSIAIMS/CAMIS: Key features delivered include 1) Project structure reorganized for maintainability (moved into summary folder) - commit afa48e812169ee1c5543e884c2344ca3420d4521. 2) Documentation: SAS sample size calculations for superiority and crossover with updated code snippets and reproducible references (commits 4409eb35e61365f5221a3cdcc7a26206ed904020; b434365dc46235451064a12da9765cf24684be86; 368a221f4ac821c7b7e71fae325f5c850b21872e). 3) Documentation: SAS equivalence trial sample size calculations with examples, figures, and cross-design scenarios (commits cebc2a95193d935b8ff28bc9255fc126d4e8a14f; d109825b4285ec70651018ba491cc0c9e458bd1e; bfac3def3342d6171863e3a8008afc27f64f812e; a35b6b4860e17ffe683a511fa93d92205f3895ad; 14fff47dc43f403f7003407228d7f41cb732e9e0; d8ac3a5631e2331751e2be6d87b38e19aa3fd5fd). 4) Documentation: meeting minutes and repo notices for April 14, 2025 and notes about repository build-time improvements (commit 88e35ac03fbb655ec3900064ecaf28678c4b30d7). Major bugs fixed: None recorded this month; the month focused on structural and documentation enhancements. Overall impact and accomplishments: improved maintainability, clearer user guidance, and faster onboarding with transparent build-time improvement notes. Technologies/skills demonstrated: SAS PROC POWER/GLMPOWER usage, cross-design and TOST concepts, premier documentation with examples and figures, reproducible references, and disciplined version control.
April 2025 performance summary for PSIAIMS/CAMIS: Key features delivered include 1) Project structure reorganized for maintainability (moved into summary folder) - commit afa48e812169ee1c5543e884c2344ca3420d4521. 2) Documentation: SAS sample size calculations for superiority and crossover with updated code snippets and reproducible references (commits 4409eb35e61365f5221a3cdcc7a26206ed904020; b434365dc46235451064a12da9765cf24684be86; 368a221f4ac821c7b7e71fae325f5c850b21872e). 3) Documentation: SAS equivalence trial sample size calculations with examples, figures, and cross-design scenarios (commits cebc2a95193d935b8ff28bc9255fc126d4e8a14f; d109825b4285ec70651018ba491cc0c9e458bd1e; bfac3def3342d6171863e3a8008afc27f64f812e; a35b6b4860e17ffe683a511fa93d92205f3895ad; 14fff47dc43f403f7003407228d7f41cb732e9e0; d8ac3a5631e2331751e2be6d87b38e19aa3fd5fd). 4) Documentation: meeting minutes and repo notices for April 14, 2025 and notes about repository build-time improvements (commit 88e35ac03fbb655ec3900064ecaf28678c4b30d7). Major bugs fixed: None recorded this month; the month focused on structural and documentation enhancements. Overall impact and accomplishments: improved maintainability, clearer user guidance, and faster onboarding with transparent build-time improvement notes. Technologies/skills demonstrated: SAS PROC POWER/GLMPOWER usage, cross-design and TOST concepts, premier documentation with examples and figures, reproducible references, and disciplined version control.
March 2025 CAMIS monthly summary focusing on governance, documentation quality, and codebase maintainability. Deliverables spanned GDPR governance materials, RMST documentation enhancements, project structure reorganization, and CMH test documentation improvements. The work used Quarto for documentation, SAS/R for analysis/documentation, and strong version-control practices to improve reproducibility and maintainability. Business value includes improved regulatory compliance, faster onboarding, clearer methodological guidance, and more reliable risk assessments.
March 2025 CAMIS monthly summary focusing on governance, documentation quality, and codebase maintainability. Deliverables spanned GDPR governance materials, RMST documentation enhancements, project structure reorganization, and CMH test documentation improvements. The work used Quarto for documentation, SAS/R for analysis/documentation, and strong version-control practices to improve reproducibility and maintainability. Business value includes improved regulatory compliance, faster onboarding, clearer methodological guidance, and more reliable risk assessments.
February 2025 (PSIAIMS/CAMIS) focused on enriching the lung cancer dataset, expanding predictive modeling capabilities, and strengthening documentation and reporting processes. Delivered enhancements to support treatment-dose analysis, fixed data integrity issues, and established reproducible reporting workflows for conferences and cross-tool comparisons.
February 2025 (PSIAIMS/CAMIS) focused on enriching the lung cancer dataset, expanding predictive modeling capabilities, and strengthening documentation and reporting processes. Delivered enhancements to support treatment-dose analysis, fixed data integrity issues, and established reproducible reporting workflows for conferences and cross-tool comparisons.
2025-01 Monthly Summary for PSIAIMS/CAMIS focused on feature delivery, documentation improvements, and governance for 2025 objectives. Delivered cross-language logistic regression documentation improvements and formal meeting minutes outlining CAMIS 2025 objectives, enabling clearer analytics interpretation, governance, and stakeholder alignment.
2025-01 Monthly Summary for PSIAIMS/CAMIS focused on feature delivery, documentation improvements, and governance for 2025 objectives. Delivered cross-language logistic regression documentation improvements and formal meeting minutes outlining CAMIS 2025 objectives, enabling clearer analytics interpretation, governance, and stakeholder alignment.
December 2024 monthly summary for PSIAIMS/CAMIS. Delivered three key documentation and analysis initiatives that improve year-end reporting, reproducibility, and analytical rigor across R and SAS. Highlights include the creation of a comprehensive CAMIS Year-End Meeting QMD, enhancements to CI for Proportions with updated documentation and an added asset, and expansions to RMST and logistic regression documentation to clarify analyses and model selection.
December 2024 monthly summary for PSIAIMS/CAMIS. Delivered three key documentation and analysis initiatives that improve year-end reporting, reproducibility, and analytical rigor across R and SAS. Highlights include the creation of a comprehensive CAMIS Year-End Meeting QMD, enhancements to CI for Proportions with updated documentation and an added asset, and expansions to RMST and logistic regression documentation to clarify analyses and model selection.
November 2024 (PSIAIMS/CAMIS) focused on elevating statistical documentation and usability. Delivered four feature-oriented documentation enhancements across Python, R, and CI areas, reinforcing best practices in statistical methods and reproducibility. These updates improve clarity for users performing logistic regression, various t-tests, rounding in base R, and CI methods for proportions, underpinning faster onboarding and safer analytics workflows. While there were no major bugs fixed this month, the changes reduce support overhead by preemptively clarifying concepts and updating examples with current libraries (statsmodels, scikit-learn, Hmisc, RBesT, and cardx). The work demonstrates proficiency in cross-language documentation, test-statistic communication, and CI readability improvements, delivering measurable business value in documentation quality, user confidence, and code-example fidelity.
November 2024 (PSIAIMS/CAMIS) focused on elevating statistical documentation and usability. Delivered four feature-oriented documentation enhancements across Python, R, and CI areas, reinforcing best practices in statistical methods and reproducibility. These updates improve clarity for users performing logistic regression, various t-tests, rounding in base R, and CI methods for proportions, underpinning faster onboarding and safer analytics workflows. While there were no major bugs fixed this month, the changes reduce support overhead by preemptively clarifying concepts and updating examples with current libraries (statsmodels, scikit-learn, Hmisc, RBesT, and cardx). The work demonstrates proficiency in cross-language documentation, test-statistic communication, and CI readability improvements, delivering measurable business value in documentation quality, user confidence, and code-example fidelity.
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