Lopez LR, Miller CM, Jeyachandran JN, Li C, Simpson KW, Arthur JC. Heterogeneity among clinical intestinal escherichia coli isolates upon acquired streptomycin resistance. Microbiol Spectr. 2023 Jun 15;11(3):e035022. doi: 10.1128/spectrum.03500-22
Earnshaw S, McDade C, Bryan A, Ines M, Micallef C, Sung A, Enoch DA. Erratum for Earnshaw et al., Real-world financial and clinical impact of diagnostic-driven and empirical-treatment strategies in high-risk immunocompromised patients with suspected aspergillus infection in the United Kingdom. Microbiol Spectr. 2022 Oct 26;10(5):e0303122. doi: 10.1128/spectrum.03031-22
Earnshaw S, McDade C, Bryan A, Ines M, Micallef C, Sung A, Enoch D. Real-world financial and clinical impact of diagnostic-driven and empirical-treatment strategies in high-risk immunocompromised patients with suspected aspergillus infection in the United Kingdom. Microbiol Spectr. 2022 Jun 29;10(3):e0042522. doi: 10.1128/spectrum.00425-22
Conover MM, Rothman KJ, Sturmer T, Ellis AR, Poole C, Jonsson Funk M. Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: a plasmode simulation. Stat Med. 2021 Apr;40(9):2101-12. doi: 10.1002/sim.8887
Webster-Clark M, Sturmer T, Wang T, Man K, Marinac‐Dabic D, Rothman KJ, Ellis AR, Gokhale M, Lunt M, Girman C, Glynn RJ. Using propensity scores to estimate effects of treatment initiation decisions: state of the science. Stat Med. 2021 Mar 30;40(7):1718-35. doi: 10.1002/sim.8866
Garcia R, Benet M, Arnau C, Cobo E. Efficiency of the cross-over design: an empirical estimation. Stat Med. 2004 Dec 30;23(24):3773-80. doi: 10.1002/sim.2072.