Evidence map›Paper›PMID 32125594›Full record

ArticleLifetime data analysis2020

Estimation of treatment effects and model diagnostics with two-way time-varying treatment switching: an application to a head and neck study.

Qingxia Chen, Fan Zhang, Ming-Hui Chen, Xiuyu Julie Cong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lifetime data analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 2 countries.

Qingxia ChenDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, 37232, USA. cindy.chen@vumc.org.ORCID 0000-0003-0507-1847
Fan ZhangPfizer Inc., Groton, CT, 06340, USA.
Ming-Hui ChenDepartment of Statistics, University of Connecticut, 215 Glenbrook Road, U-4120, Storrs, CT, 06269, USA.
Xiuyu Julie CongEverest Medicines, Shanghai, China.
Pfizer (United States) · USUniversity of Connecticut · USVanderbilt University Medical Center · USZhejiang Medicine (China) · CN

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIDIAN, MARIE, KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
Bayesian Approaches to Model Selection for Survival DataR01GM070335 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IBRAHIM, JOSEPH G · 2003 to 2019
$4.0M
Time-dependent and bidirectional effect of oxidative stress - a missing piece of the free radical theory of cancer and its potential implicationsR01CA237895 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHEN, QINGXIA, YANG, GONG · 2020 to 2025
$3.4M
A New Approach to Correct Verification Bias Using Auxiliary InformationR21HL097334 · NHLBI · VANDERBILT UNIVERSITY · PI CHEN, QINGXIA · 2011 to 2012
$428k
NCI NIH HHS P01 CA142538NCI NIH HHS R01 CA237895NCRR NIH HHS UL1 RR024975NHLBI NIH HHS R21 HL097334NIGMS NIH HHS R01 GM070335NIH HHS 1UL1RR02497NIH HHS GM70335NIH HHS P01CA142538NIH HHS R21HL097334
6 · The paper itself

Abstract

Treatment switching frequently occurs in clinical trials due to ethical reasons. Intent-to-treat analysis without adjusting for switching yields biased and inefficient estimates of the treatment effects. In this paper, we propose a class of semiparametric semi-competing risks transition survival models to accommodate two-way time-varying switching. Theoretical properties of the proposed method are examined. An efficient expectation-maximization algorithm is derived to obtain maximum likelihood estimates and model diagnostic tools. Existing software is used to implement the algorithm. Simulation studies are conducted to demonstrate the validity of the model. The proposed method is further applied to data from a clinical trial with patients having recurrent or metastatic squamous-cell carcinoma of head and neck.

Indexed as

Likelihood FunctionsSurvival AnalysisTreatment SwitchingAlgorithmsComputer SimulationHead and Neck NeoplasmsHumansRandomized Controlled Trials as TopicExpectation–maximization algorithmModel diagnosticsSemi-competing riskSurvival modelTime-varying treatment switching

Identifiers

PMID32125594
PMCPMC7483904
OpenAlexW3009397439

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.