a1exanderalexeyuk.r-universe.dev

[a1exanderalexeyuk] OdysseusCharacterizationModule 0.0.1

alexanderalexeyuk@gmail.com (Alexander Alexeyuk) — Wed, 22 Apr 2026 14:13:08 GMT

Extracts covariates from Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) domains using an R-only pipeline. Supports configurable temporal windows, domain-specific covariates for drug exposure, drug era (including Anatomical Therapeutic Chemical (ATC) groupings), condition occurrence, condition era, concept sets and cohorts. Methods are based on the Observational Health Data Sciences and Informatics (OHDSI) framework described in Hripcsak et al. (2015) and "The Book of OHDSI" OHDSI (2019, ISBN:978-1-7923-0589-8).

[a1exanderalexeyuk] OdysseusPathwayModule 0.0.1

alexanderalexeyuk@gmail.com (Alexander Alexeyuk) — Tue, 21 Apr 2026 21:09:08 GMT

Provides cohort pathway analysis for Observational Medical Outcomes Partnership (OMOP) Common Data Model databases, including both standard (post-index) and pre-index pathway analyses. The pre-index analysis identifies sequences of events occurring in a lookback window before the target cohort index date. Built on the 'CohortPathways' analysis framework originally developed by Christopher Knoll and the Observational Health Data Sciences and Informatics community through 'WebAPI'. Methodological background and the originating implementation are described in .

[a1exanderalexeyuk] tidyOhdsiSolutions 0.1.0

alexanderalexeyuk@gmail.com (Alexander Alexeyuk) — Wed, 15 Apr 2026 14:08:57 GMT

Lightweight utilities for working with OMOP (Observational Medical Outcomes Partnership) Common Data Model (CDM) data in the Observational Health Data Sciences and Informatics ecosystem. Provides base-R re-implementations of common 'purrr' functional helpers, tools to convert plain data frames into 'CIRCE' concept set expressions, SQL generators for resolving concept sets against an OMOP vocabulary schema without requiring 'CirceR'.

[a1exanderalexeyuk] OdysseusSurvivalModule 0.1.0

alexanderalexeyuk@gmail.com (Alexander Alexeyuk) — Fri, 03 Apr 2026 16:59:47 GMT

Tools to build single-event survival datasets from "OMOP CDM" cohorts and estimate survival outcomes. The package supports Kaplan-Meier, Cox proportional hazards, and parametric accelerated-failure-time models, with optional stratification by gender and age groups.