Literature DB >> 31062392

Bias induced by ignoring double truncation inherent in autopsy-confirmed survival studies of neurodegenerative diseases.

Lior Rennert1, Sharon X Xie2.   

Abstract

Neurodegenerative diseases require an autopsy for confirmation of diagnosis. When death is the event of interest, studies based on autopsy-confirmed diagnoses result in right truncated survival times because individuals who live past the end of study date do not receive a pathological diagnosis and are therefore not included in the sample. Furthermore, many studies of neurodegenerative diseases recruit subjects only after the onset of the disease, which may result in left truncated survival times. Therefore, double truncation, the simultaneous presence of left and right truncation, is inherent in many autopsy-confirmed survival studies of neurodegenerative diseases. The main focus of this paper is to inform about the inherent double truncation in these studies and demonstrate how to properly estimate and compare survival distribution functions in this setting. We do so by conducting a case study of subjects with autopsy-confirmed Alzheimer's disease and frontotemporal lobar degeneration. This case study is supported by extensive simulation studies, which provide several new contributions to the literature on survival distribution estimation in the context of double truncation.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  neurodegenerative disease; selection bias; survival; truncation

Mesh:

Year:  2019        PMID: 31062392      PMCID: PMC6625863          DOI: 10.1002/sim.8185

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  10 in total

1.  What is the life expectancy in frontotemporal lobar degeneration?

Authors:  Chiadi U Onyike
Journal:  Neuroepidemiology       Date:  2011-11-02       Impact factor: 3.282

2.  Accuracy of the clinical diagnosis of Alzheimer disease at National Institute on Aging Alzheimer Disease Centers, 2005-2010.

Authors:  Thomas G Beach; Sarah E Monsell; Leslie E Phillips; Walter Kukull
Journal:  J Neuropathol Exp Neurol       Date:  2012-04       Impact factor: 3.685

3.  A semiparametric estimator of survival for doubly truncated data.

Authors:  Carla Moreira; Jacobo de Uña-Álvarez
Journal:  Stat Med       Date:  2010-12-30       Impact factor: 2.373

4.  Occupational attainment influences survival in autopsy-confirmed frontotemporal degeneration.

Authors:  Lauren Massimo; Jarcy Zee; Sharon X Xie; Corey T McMillan; Katya Rascovsky; David J Irwin; Ann Kolanowski; Murray Grossman
Journal:  Neurology       Date:  2015-04-22       Impact factor: 9.910

5.  A semiparametric extension of the Mann-Whitney test for randomly truncated data.

Authors:  W B Bilker; M C Wang
Journal:  Biometrics       Date:  1996-03       Impact factor: 2.571

6.  Clinicopathologic analysis of frontotemporal and corticobasal degenerations and PSP.

Authors:  K A Josephs; R C Petersen; D S Knopman; B F Boeve; J L Whitwell; J R Duffy; J E Parisi; D W Dickson
Journal:  Neurology       Date:  2006-01-10       Impact factor: 9.910

7.  Survival in frontotemporal dementia.

Authors:  J R Hodges; R Davies; J Xuereb; J Kril; G Halliday
Journal:  Neurology       Date:  2003-08-12       Impact factor: 9.910

8.  Factors associated with survival probability in autopsy-proven frontotemporal lobar degeneration.

Authors:  S X Xie; M S Forman; J Farmer; P Moore; Y Wang; X Wang; C M Clark; H B Coslett; A Chatterjee; S E Arnold; H Rosen; J H T Karlawish; V M Van Deerlin; V M-Y Lee; J Q Trojanowski; M Grossman
Journal:  J Neurol Neurosurg Psychiatry       Date:  2007-07-05       Impact factor: 10.154

9.  Cox regression model with doubly truncated data.

Authors:  Lior Rennert; Sharon X Xie
Journal:  Biometrics       Date:  2017-10-26       Impact factor: 2.571

Review 10.  The Mental Status Examination in Patients With Suspected Dementia.

Authors:  Murray Grossman; David J Irwin
Journal:  Continuum (Minneap Minn)       Date:  2016-04
  10 in total
  1 in total

1.  Cox regression model under dependent truncation.

Authors:  Lior Rennert; Sharon X Xie
Journal:  Biometrics       Date:  2021-03-22       Impact factor: 1.701

  1 in total

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