about
A generalized partially linear mean-covariance regression model for longitudinal proportional data, with applications to the analysis of quality of life data from cancer clinical trials.Innovations in the Management of Musculoskeletal Pain With Alpha-Lipoic Acid (IMPALA Trial): Study protocol for a Double-Blind, Randomized, Placebo-Controlled Crossover Trial of Alpha-Lipoic Acid for the Treatment of Fibromyalgia PainPain Improvement With Novel Combination Analgesic Regimens (PAIN-CARE): Randomized Controlled Trial ProtocolCombination Analgesic Development for Enhanced Clinical Efficacy (CADENCE Trial): Study Protocol for a Double-Blind, Randomized, Placebo-Controlled Crossover Trial of an Alpha-Lipoic Acid - Pregabalin Combination for the Treatment of Fibromyalgia PaA single-index threshold Cox proportional hazard model for identifying a treatment-sensitive subset based on multiple biomarkersA bootstrap semiparametric homogeneity test for the distributions of multigroup proportional data, with applications to analysis of quality of life outcomes in clinical trialsA phase IB study of durvalumab with or without tremelimumab and platinum-doublet chemotherapy in advanced solid tumours: Canadian Cancer Trials Group Study IND226A threshold linear mixed model for identification of treatment-sensitive subsets in a clinical trial based on longitudinal outcomes and a continuous covariateQuantile regression and empirical likelihood for the analysis of longitudinal data with monotone missing responses due to dropout, with applications to quality of life measurements from clinical trials
P50
Q31163566-C7CCA833-BA67-4AEE-823A-5673979DF10BQ33555352-29847039-30E0-45EF-A566-43FBB77F8137Q33826759-53977960-822A-46F3-9B68-2BC0B24FCA49Q38372555-867D1AC2-7065-4D81-9FF7-BECD134FB19CQ57466531-060001A5-6C03-48AC-B635-ED92546F4CD2Q89873432-99ACD22A-13E5-46B6-B307-933D9C42B2A2Q90314374-CCA4BE7D-0C19-473E-BF7C-500D527E8198Q90475323-95B2FE8D-997A-430E-8F83-9D1ECEC8E824Q93171816-6333BF8D-3606-4B3C-B8B0-9D5888F76444
P50
description
researcher ORCID ID = 0000-0003-4842-2184
@en
wetenschapper
@nl
name
Dongsheng Tu
@ast
Dongsheng Tu
@en
Dongsheng Tu
@nl
type
label
Dongsheng Tu
@ast
Dongsheng Tu
@en
Dongsheng Tu
@nl
prefLabel
Dongsheng Tu
@ast
Dongsheng Tu
@en
Dongsheng Tu
@nl
P106
P31
P496
0000-0003-4842-2184