Health Data Science LAB

Softwares

Resolving the ambiguity of random-effects models with singular precision matrix

Meta analysis

Sign-constrained regression

Sensitivity analysis for effects of multiple exposures in the presence of unmeasured confounding (See also https://github.com/seungjae2525/SAMU)

Truncated negative binomial regression model

Sensitivity Analysis for Attributable Fraction in the Presence of Unmeasured Confounding

Reparametrized Firth’s logistic regressions for dose-finding study with the biased-coin design

Data-driven segmentation of observation-level logistic regression models

(To implement the R-package, Windows is preferred due to the functionality of Rcpp)

[산업안전보건연구원 연구용역과제] 산업보건 역학연구 수행을 위한 인과추론과 복합노출 통계방법론 개발

Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test

Sensitivity Analysis for Unmeasured Confounding in the Presence of Missing Outcome and Treatment Variables

Calibrating a simulated exposure distribution using measurement error models

Sensitivity analysis for effects of multiple exposures in the presence of unmeasured confounding: non-Gaussian and time-to-event outcomes

Partially privacy-protected logistic regression with $L_1$ penalty and sign constraint

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