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Cited by in F6Publishing
For: Lee C, Lee SJ, Haneuse S. Time-to-event analysis when the event is defined on a finite time interval. Stat Methods Med Res 2020;29:1573-91. [PMID: 31436136 DOI: 10.1177/0962280219869364] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
Number Citing Articles
1 Alvares D, Haneuse S, Lee C, Lee KH. SemiCompRisks: An R Package for the Analysis of Independent and Cluster-correlated Semi-competing Risks Data. R J 2019;11:376-400. [PMID: 33604061 DOI: 10.32614/rj-2019-038] [Cited by in Crossref: 6] [Article Influence: 2.0] [Reference Citation Analysis]
2 Lee C, Gilsanz P, Haneuse S. Fitting a shared frailty illness-death model to left-truncated semi-competing risks data to examine the impact of education level on incident dementia. BMC Med Res Methodol 2021;21:18. [PMID: 33430798 DOI: 10.1186/s12874-020-01203-8] [Reference Citation Analysis]
3 Nevo D, Blacker D, Larson EB, Haneuse S. Modeling semi-competing risks data as a longitudinal bivariate process. Biometrics 2021. [PMID: 33908043 DOI: 10.1111/biom.13480] [Reference Citation Analysis]
4 Hu H, Wang L, Li C, Ge W, Xia J. An improved method for the effect estimation of the intermediate event on the outcome based on the susceptible pre-identification. BMC Med Res Methodol 2021;21:192. [PMID: 34548029 DOI: 10.1186/s12874-021-01378-8] [Reference Citation Analysis]