1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2022
BatMan: Mitigating Batch Effects via Stratification for Survival Outcome Prediction
Ai Ni, Mengling Liu, Li-Xuan Qin
Reproducible translation of transcriptomics data has been hampered by the ubiquitous presence of batch effects. Statistical methods for managing batch effects were initially develo…
stat.ME2022★ 1 cited
Matched Design for Marginal Causal Effect on Restricted Mean Survival Time in Observational Studies
Zihan Lin, Ai Ni, Bo Lu
Investigating the causal relationship between exposure and the time-to-event outcome is an important topic in biomedical research. Previous literature has discussed the potential i…
q-bio.GN2021★ 1 cited
Performance Evaluation of Transcriptomics Data Normalization for Survival Risk Prediction
Ai Ni, Li-Xuan Qin
One pivotal feature of transcriptomics data is the unwanted variations caused by disparate experimental handling, known as handling effects. Various data normalization methods were…