Selection models and pattern-mixture models to analyse longitudinal quality of life data subject to drop-out.
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Regression methods for investigating risk factors of chronic kidney disease outcomes: the state of the artModel-based methodology for analyzing incomplete quality-of-life data and integrating them into the Q-TWiST framework.Incomplete hierarchical data.The analysis of longitudinal quality of life measures with informative drop-out: a pattern mixture approach.On the impact of nonresponse in logistic regression: application to the 45 and Up study.A randomised trial of adaptive pacing therapy, cognitive behaviour therapy, graded exercise, and specialist medical care for chronic fatigue syndrome (PACE): statistical analysis plan.The king's foot of patient-reported outcomes: current practices and new developments for the measurement of changeBayesian informative dropout model for longitudinal binary data with random effects using conditional and joint modeling approaches.Cervical spondylotic myelopathy surgical trial: randomized, controlled trial design and rationaleEffect of Demographic Risk Factors on the Change in Cognitive Function in the Presence of Non-Participation and Truncation due to Death.Health-related quality of life in women with recurrent ovarian cancer receiving paclitaxel plus trebananib or placebo (TRINOVA-1).Analytic Considerations for Repeated Measures of eGFR in Cohort Studies of CKD.Bayesian hierarchical models for network meta-analysis incorporating nonignorable missingnessMMRM vs. LOCF: a comprehensive comparison based on simulation study and 25 NDA datasets.
P2860
Q26827335-D60E697C-D929-434C-8FBF-6D9E8F3EFC6BQ30768835-B1E4E929-678F-4D34-89A3-6BB69D1F78F6Q31119915-181A7F55-07E7-4591-8149-9C2B37D22AE1Q33583564-EC8F964E-5300-44D2-8ACE-CF89162B5B60Q33651267-D07ED145-4B0F-44B6-993F-7E1691D43A66Q34480158-0B345116-A3C2-487E-B397-23D136C19B1BQ35226339-AAE1F778-4C2A-4637-A9E6-D500A0FD077BQ35807336-4F7CA138-7FEB-4C66-8895-2DCC581F66B5Q36248219-199BFF88-E6F2-4849-AF7D-20D10DC30B32Q38267031-2258364F-0060-44FB-B349-299BFF93253BQ38394240-DB013D2B-F5A8-4639-800A-D2AD56053678Q38656498-6C04F70A-005E-4FFF-879F-87513758D273Q40684422-FDCBAFE3-E0E2-4FAB-B240-A388275A33A8Q46343163-11E307DE-A971-4287-80A4-518031A2EF26
P2860
Selection models and pattern-mixture models to analyse longitudinal quality of life data subject to drop-out.
description
2002 nî lūn-bûn
@nan
2002 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Selection models and pattern-m ...... life data subject to drop-out.
@ast
Selection models and pattern-m ...... life data subject to drop-out.
@en
type
label
Selection models and pattern-m ...... life data subject to drop-out.
@ast
Selection models and pattern-m ...... life data subject to drop-out.
@en
prefLabel
Selection models and pattern-m ...... life data subject to drop-out.
@ast
Selection models and pattern-m ...... life data subject to drop-out.
@en
P2093
P2860
P356
P1476
Selection models and pattern-m ...... life data subject to drop-out.
@en
P2093
Bart Michiels
Herbert Thijs
Luc Bijnens
Tony Vangeneugden
P2860
P304
P356
10.1002/SIM.1064
P407
P577
2002-04-01T00:00:00Z