Quantile residual lifetime regression with functional principal component analysis of longitudinal data for dynamic prediction
Xiao Lin(The University of Texas MD Anderson Cancer Center), Xuelin Huang(The University of Texas MD Anderson Cancer Center), Ruosha Li(The University of Texas Health Science Center at Houston), Fangrong Yan(China Pharmaceutical University), Tao Lu(Institute of Process Engineering)
Cited by 12
Related Papers
An improvement of the 2ˆ(-delta delta CT) method for quantitative real-time polymerase chain reaction data analysis.
|PubMed|2013|1.6k
Preleukaemic clonal haemopoiesis and risk of therapy-related myeloid neoplasms: a case-control study
|The Lancet Oncology|2016|405
Association of Measurable Residual Disease With Survival Outcomes in Patients With Acute Myeloid Leukemia
|JAMA Oncology|2020|380
DNA Methylation Predicts Survival and Response to Therapy in Patients With Myelodysplastic Syndromes
|Journal of Clinical Oncology|2009|359