flowchart LR A[PubMed] --> p4(Karim et al. 2018<br>Epidemiology) p4 --> ml1 p4 --> ml0[Hybrid] A[PubMed] --> p2(Tian et al. 2018<br>Int J Epidemiol.) p2 --> ml1[Pure LASSO] A[PubMed] --> p5(Wyss et al. 2018<br>Epidemiology) p5 --> sl1[vary k,<br>k=25,100:500<br>Super<br>Learner] p5 --> ct1 A[PubMed] --> p1(Benasseur et al. 2022<br>Pharmacoepidemiol Drug Saf.) p1 --> ml2[Low k,<br>k = 10] p1 --> ct1[cTMLE] A[PubMed] --> p7(Neugebauer et al. 2015<br>Stat Med.) p7 --> O2[time-varying<br>interventions] A[PubMed] --> p6(Franklin et al. 2015<br>Am J Epidemiol.) p6 --> ml1 p6 --> ml0 A[PubMed] --> p3(Schneeweiss et al. 2018<br>Clin Epidemiol.) p3 --> O1[Review] %% Define style classes classDef redNode fill:#f44,stroke-width:2px,stroke:#f00,color:#fff classDef yellowNode fill:#ffff00,stroke-width:2px,stroke:#ffcc00,color:#000 classDef greenNode fill:#9f9,stroke-width:2px,stroke:#090,color:#000 %% Apply classes to nodes class p1,p3,p7 redNode class p5 yellowNode class p2,p4,p6 greenNode
12 Literature
12.1 PubMed
Combination of plasmode, simulation, high-dimensional propensity provides 7 papers (searched in April 23, 2023):
12.2 Outside of PubMed
flowchart LR S[Simulations] --> p0(Pang et al. 2016<br>Int. J Biostat.) p0 --> t1[TMLE,<br>No<br>super<br>learner] D[Data<br>analysis] --> p00(Pang et al. 2016<br>Epidemiology) p00 --> t1 D --> p1(Ju et al. 2019<br>J App Stat.) p1 --> sl1[Super<br>learner,<br>No TMLE,<br>bias not<br>used as a<br>performance<br>measure] D --> p3(Schneeweiss et al. 2017<br>Epidemiology) p3 --> ml1[LASSO] S --> p4(Weberpals et al. 2021<br>Epidemiology) p4 --> ml1[LASSO] p4 --> ml2[Autoencoder] S --> p5(Ju et al. 2019<br>Stat Meth Med Res.) p5 --> t1 p5 --> t2[cTMLE,<br>more about<br>time<br>complexity] S --> p6(Low et al. 2015<br>J Comp Eff Res.) p6 --> ml1 %% Define style classes classDef yellowNode fill:#ffff00,stroke-width:2px,stroke:#ffcc00,color:#000 classDef greenNode fill:#9f9,stroke-width:2px,stroke:#090,color:#000 classDef blueNode fill:#44f,stroke-width:2px,stroke:#00f,color:#fff %% Apply classes to nodes class p1 yellowNode class p3,p4,p6 greenNode class p0,p00,p5 blueNode