Guideline

Reviews and Guidelines

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  r[Reviews] --> p1(Wyss et al. 2022 \nPharmacoepidemiol Drug Saf.)
  r --> p0(Schneeweiss et al. 2018 \nClin Epidemiol.)
  g[Guideline] --> p2(Rassen et al. 2022 \nPharmacoepidemiol Drug Saf.)
  g --> p3(Tazare et al. 2022 \nPharmacoepidemiol Drug Saf.)
  style p0 fill:#f44,stroke-width:2px,stroke:#f00,color:#fff;
  style p1 fill:#f44,stroke-width:2px,stroke:#f00,color:#fff;
  style p2 fill:#b03,stroke-width:2px,stroke:#600,color:#fff;
  style p3 fill:#b03,stroke-width:2px,stroke:#600,color:#fff;

(Wyss et al. 2022; Rassen et al. 2023; Tazare et al. 2022; Schneeweiss 2018)

Rassen, Jeremy A, Patrick Blin, Sebastian Kloss, Romain S Neugebauer, Robert W Platt, Anton Pottegård, Sebastian Schneeweiss, and Sengwee Toh. 2023. “High-Dimensional Propensity Scores for Empirical Covariate Selection in Secondary Database Studies: Planning, Implementation, and Reporting.” Pharmacoepidemiology and Drug Safety 32 (2): 93–106.

Schneeweiss, Sebastian. 2018. “Automated Data-Adaptive Analytics for Electronic Healthcare Data to Study Causal Treatment Effects.” Clinical Epidemiology, 771–88.

Tazare, John, Richard Wyss, Jessica M Franklin, Liam Smeeth, Stephen JW Evans, Shirley V Wang, Sebastian Schneeweiss, Ian J Douglas, Joshua J Gagne, and Elizabeth J Williamson. 2022. “Transparency of High-Dimensional Propensity Score Analyses: Guidance for Diagnostics and Reporting.” Pharmacoepidemiology and Drug Safety 31 (4): 411–23.

Wyss, Richard, Chen Yanover, Tal El-Hay, Dimitri Bennett, Robert W Platt, Andrew R Zullo, Grammati Sari, et al. 2022. “Machine Learning for Improving High-Dimensional Proxy Confounder Adjustment in Healthcare Database Studies: An Overview of the Current Literature.” Pharmacoepidemiology and Drug Safety 31 (9): 932–43.