
Lyn Taylor contributed to the PSIAIMS/CAMIS repository by developing advanced statistical analysis workflows and robust documentation to support clinical trial analytics. Over nine months, Lyn implemented features such as Generalized Estimating Equations and Generalized Linear Mixed Models in both R and SAS, enabling reproducible, cross-platform modeling for binary and multinomial outcomes. She enhanced survival analysis and logistic regression pipelines, integrating tools like emmeans and ggsurvfit for richer interpretation and visualization. Lyn’s disciplined approach to documentation, including meeting minutes and technical guides in Markdown and R Markdown, improved onboarding, auditability, and collaboration, resulting in maintainable, high-quality analytics infrastructure.
Summary for 2026-03: In CAMIS, delivered high-impact documentation improvements and a precision fix in the regression notation. Major features delivered include consolidated documentation updates for survival strata usage (covering version differences and interpretation), new documentation pages for random effects models in R and SAS, and ongoing standardization and formatting enhancements across bullet lists. Major bugs fixed include correcting the regression coefficient vector notation by removing parentheses to improve clarity and accuracy. The work reduces onboarding time, minimizes potential modeling misinterpretations, and improves reproducibility, thereby lowering support overhead and enabling faster adoption of best practices. Technologies demonstrated include documentation engineering, cross-language (R/SAS) support, version-controlled communication, and collaborative processes (documented meeting minutes and issue alignment). Overall impact: higher-quality, maintainable documentation with clearer guidance on survival analysis and random effects, and more precise mathematical notation in modeling.
Summary for 2026-03: In CAMIS, delivered high-impact documentation improvements and a precision fix in the regression notation. Major features delivered include consolidated documentation updates for survival strata usage (covering version differences and interpretation), new documentation pages for random effects models in R and SAS, and ongoing standardization and formatting enhancements across bullet lists. Major bugs fixed include correcting the regression coefficient vector notation by removing parentheses to improve clarity and accuracy. The work reduces onboarding time, minimizes potential modeling misinterpretations, and improves reproducibility, thereby lowering support overhead and enabling faster adoption of best practices. Technologies demonstrated include documentation engineering, cross-language (R/SAS) support, version-controlled communication, and collaborative processes (documented meeting minutes and issue alignment). Overall impact: higher-quality, maintainable documentation with clearer guidance on survival analysis and random effects, and more precise mathematical notation in modeling.
February 2026: Delivered foundational GLMM support for CAMIS and fixed a GEE typo, strengthening modeling capabilities and correctness. This work provides a solid base for expanded statistical analyses, improves result accuracy, and enhances maintainability through dedicated GLMM files.
February 2026: Delivered foundational GLMM support for CAMIS and fixed a GEE typo, strengthening modeling capabilities and correctness. This work provides a solid base for expanded statistical analyses, improves result accuracy, and enhances maintainability through dedicated GLMM files.
2026-01 Monthly Summary — PSIAIMS/CAMIS: Focused on planning and governance for the CAMIS initiative in 2026. Delivered a comprehensive planning artifact and established a clear roadmap to guide development and volunteer engagement.
2026-01 Monthly Summary — PSIAIMS/CAMIS: Focused on planning and governance for the CAMIS initiative in 2026. Delivered a comprehensive planning artifact and established a clear roadmap to guide development and volunteer engagement.
Concise monthly summary for 2025-12 focusing on delivered features, fixed issues, overall impact, and demonstrated skills for PSIAIMS/CAMIS. Highlights alignment with business goals and preparation for 2026 initiatives.
Concise monthly summary for 2025-12 focusing on delivered features, fixed issues, overall impact, and demonstrated skills for PSIAIMS/CAMIS. Highlights alignment with business goals and preparation for 2026 initiatives.
Month 2025-11: Delivered GEE support in CAMIS (R and SAS) for binary and multinomial outcomes—the first version enabling advanced statistical modeling and cross-language analytics. No major bugs fixed this month; emphasis on feature delivery and building analytics capabilities for CAMIS.
Month 2025-11: Delivered GEE support in CAMIS (R and SAS) for binary and multinomial outcomes—the first version enabling advanced statistical modeling and cross-language analytics. No major bugs fixed this month; emphasis on feature delivery and building analytics capabilities for CAMIS.
October 2025 monthly summary for PSIAIMS/CAMIS: Focused on delivering reusable analytics documentation and governance artifacts to accelerate research productivity and cross-team collaboration. Key features delivered include: 1) Generalized Estimating Equations (GEE) documentation and cross-platform SAS/R examples for binary and multinomial outcomes, with procedures, functions, and options to support reproducible analyses; 2) Team governance artifacts including formal meeting minutes and planning for October 13, 2025, covering SAS Viya topics, CAMIS nominations, US Connect Poster, action items, and upcoming events; 3) Repository hygiene improvements through removal of temporary files, reducing noise and stabilizing builds. Major bugs fixed: housekeeping cleanup of temporary files; no critical bugs reported this month. Overall impact: improved accessibility and reproducibility of advanced statistical methods, clearer governance and planning, and cleaner codebase, enabling faster onboarding and more reliable release cycles. Technologies/skills demonstrated: SAS and R for GEE, cross-platform documentation, governance documentation, version control practices, meeting facilitation, and repository housekeeping.
October 2025 monthly summary for PSIAIMS/CAMIS: Focused on delivering reusable analytics documentation and governance artifacts to accelerate research productivity and cross-team collaboration. Key features delivered include: 1) Generalized Estimating Equations (GEE) documentation and cross-platform SAS/R examples for binary and multinomial outcomes, with procedures, functions, and options to support reproducible analyses; 2) Team governance artifacts including formal meeting minutes and planning for October 13, 2025, covering SAS Viya topics, CAMIS nominations, US Connect Poster, action items, and upcoming events; 3) Repository hygiene improvements through removal of temporary files, reducing noise and stabilizing builds. Major bugs fixed: housekeeping cleanup of temporary files; no critical bugs reported this month. Overall impact: improved accessibility and reproducibility of advanced statistical methods, clearer governance and planning, and cleaner codebase, enabling faster onboarding and more reliable release cycles. Technologies/skills demonstrated: SAS and R for GEE, cross-platform documentation, governance documentation, version control practices, meeting facilitation, and repository housekeeping.
September 2025 (PSIAIMS/CAMIS) focused on documentation and governance improvements to enhance reproducibility, onboarding, and cross-team collaboration. Key deliverables include targeted documentation enhancements for the survival analysis workflow, a new QMD file documenting meeting minutes and statistical methods, and updated conference information across minutes and the conference list. No major bugs were identified or fixed this period. Overall impact includes improved auditability of analyses, clearer guidance for analysts, and more accurate conference records. Demonstrated technologies/skills include R script documentation, Quarto (QMD) file authoring, documentation discipline, and effective use of version control for traceability.
September 2025 (PSIAIMS/CAMIS) focused on documentation and governance improvements to enhance reproducibility, onboarding, and cross-team collaboration. Key deliverables include targeted documentation enhancements for the survival analysis workflow, a new QMD file documenting meeting minutes and statistical methods, and updated conference information across minutes and the conference list. No major bugs were identified or fixed this period. Overall impact includes improved auditability of analyses, clearer guidance for analysts, and more accurate conference records. Demonstrated technologies/skills include R script documentation, Quarto (QMD) file authoring, documentation discipline, and effective use of version control for traceability.
Concise monthly summary for August 2025 focusing on business value and technical delivery across the PSIAIMS/CAMIS project. Highlights include advanced statistical modeling enhancements, richer survival analysis visuals, critical bug fixes, and governance/planning work that supports repeatable, auditable analytics for stakeholders.
Concise monthly summary for August 2025 focusing on business value and technical delivery across the PSIAIMS/CAMIS project. Highlights include advanced statistical modeling enhancements, richer survival analysis visuals, critical bug fixes, and governance/planning work that supports repeatable, auditable analytics for stakeholders.
July 2025: CAMIS project documentation updates completed, enhancing project governance and knowledge sharing. The primary deliverable is the CAMIS Project Documentation Update, which documents the July 14, 2025 meeting minutes, discussions on package selection for R and conference attendance, attendees, agenda, and tooling (pkgdiff, diffify) used for package comparison. The update also includes next steps for content review and issue assignment, and a minor documentation improvement to fix a typo in the SAS vs R results description. All changes are tracked in version history with two commits: e4d051dbaa23ace2e80091de1c6b4a91df8aea4c (14th july minutes) and 9a6aed10f312198aba7bb1ebb60b0b9559402530 (fixed typo).
July 2025: CAMIS project documentation updates completed, enhancing project governance and knowledge sharing. The primary deliverable is the CAMIS Project Documentation Update, which documents the July 14, 2025 meeting minutes, discussions on package selection for R and conference attendance, attendees, agenda, and tooling (pkgdiff, diffify) used for package comparison. The update also includes next steps for content review and issue assignment, and a minor documentation improvement to fix a typo in the SAS vs R results description. All changes are tracked in version history with two commits: e4d051dbaa23ace2e80091de1c6b4a91df8aea4c (14th july minutes) and 9a6aed10f312198aba7bb1ebb60b0b9559402530 (fixed typo).

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