about
Modeling event count data in the presence of informative dropout with application to bleeding and transfusion events in myelodysplastic syndrome.A semiparametric method for comparing the discriminatory ability of biomarkers subject to limit of detection.Biomarker threshold adaptive designs for survival endpoints.A class of semiparametric cure models with current status data.On symmetric semiparametric two-sample problemEfficient methods for signal detection from correlated adverse events in clinical trialsControlling false discovery proportion in identification of drug-related adverse events from multiple system organ classesSemiparametric frailty models for zero-inflated event count data in the presence of informative dropoutQuantifying time-varying cause-specific hazard and subdistribution hazard ratios with competing risks data
P50
Q36385840-6E78B356-86E8-483A-950C-62D53891DFDFQ38660983-50AB5DDB-8503-483C-B1A7-49D26A52B2E0Q50046541-A9464493-8329-4823-B715-464A086C0239Q50052176-2B8DB62A-E82D-4F4C-9DE1-1F25917434DDQ89505870-DF9B8F91-85E4-4E30-B04F-080EC168E0E5Q91253116-F43272F1-24AA-4D5F-961A-FCF061997624Q91948502-95C77E4D-E37C-4E81-A85A-824666648AE2Q92149166-A2C4FF24-62BF-4C0E-B5FD-1A0259289703Q92531136-53BDC81D-ABE8-4A67-B57B-928CF33E90FA
P50
description
researcher
@en
name
Guoqing Diao
@en
type
label
Guoqing Diao
@en
prefLabel
Guoqing Diao
@en
P31
P496
0000-0001-7304-9591