Real world data and data science in medical research: present and future

DOI10.1007/S42081-022-00156-0zbMath1499.62415OpenAlexW4223992912MaRDI QIDQ2103292

Naohiro Yonemoto, Kanae Togo

Publication date: 13 December 2022

Published in: Japanese Journal of Statistics and Data Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42081-022-00156-0

zbMATH Keywords

biascausal inferenceobservational studymedical databasereal world data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Missing data approaches for probability regression models with missing outcomes with applications
• Revisiting g-estimation of the effect of a time-varying exposure subject to time-varying confounding
• The central role of the propensity score in observational studies for causal effects
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed

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