Literature DB >> 26750582

Quantifying risk over the life course - latency, age-related susceptibility, and other time-varying exposure metrics.

Molin Wang1,2,3, Xiaomei Liao1,3, Francine Laden2,3,4, Donna Spiegelman1,2,3,5.   

Abstract

Identification of the latency period and age-related susceptibility, if any, is an important aspect of assessing risks of environmental, nutritional, and occupational exposures. We consider estimation and inference for latency and age-related susceptibility in relative risk and excess risk models. We focus on likelihood-based methods for point and interval estimation of the latency period and age-related windows of susceptibility coupled with several commonly considered exposure metrics. The method is illustrated in a study of the timing of the effects of constituents of air pollution on mortality in the Nurses' Health Study.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Cox proportional hazard model; cohort studies; latency; time-to-event data; time-varying exposure

Mesh:

Year:  2016        PMID: 26750582      PMCID: PMC4853299          DOI: 10.1002/sim.6864

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


  26 in total

1.  Analysis of exposure-time-response relationships using a spline weight function.

Authors:  M Hauptmann; J Wellmann; J H Lubin; P S Rosenberg; L Kreienbrock
Journal:  Biometrics       Date:  2000-12       Impact factor: 2.571

2.  The exposure-time-response relationship between occupational asbestos exposure and lung cancer in two German case-control studies.

Authors:  Michael Hauptmann; Hermann Pohlabeln; Jay H Lubin; Karl-Heinz Jöckel; Wolfgang Ahrens; Irene Brüske-Hohlfeld; H -Erich Wichmann
Journal:  Am J Ind Med       Date:  2002-02       Impact factor: 2.214

3.  Using splines to analyse latency in the Colorado Plateau uranium miners cohort.

Authors:  M Hauptmann; K Berhane; B Langholz; J Lubin
Journal:  J Epidemiol Biostat       Date:  2001

4.  Lagging exposure information in cumulative exposure-response analyses.

Authors:  David B Richardson; Stephen R Cole; Haitao Chu; Bryan Langholz
Journal:  Am J Epidemiol       Date:  2011-11-01       Impact factor: 4.897

5.  Flexible modeling of the cumulative effects of time-dependent exposures on the hazard.

Authors:  Marie-Pierre Sylvestre; Michal Abrahamowicz
Journal:  Stat Med       Date:  2009-11-30       Impact factor: 2.373

6.  Selecting an exposure lag period.

Authors:  A Salvan; L Stayner; K Steenland; R Smith
Journal:  Epidemiology       Date:  1995-07       Impact factor: 4.822

7.  Survival analysis with error-prone time-varying covariates: a risk set calibration approach.

Authors:  Xiaomei Liao; David M Zucker; Yi Li; Donna Spiegelman
Journal:  Biometrics       Date:  2011-03       Impact factor: 2.571

8.  Modelling age-specific risk: application to dementia.

Authors:  D Commenges; L Letenneur; P Joly; A Alioum; J F Dartigues
Journal:  Stat Med       Date:  1998-09-15       Impact factor: 2.373

9.  Using semiparametric-mixed model and functional linear model to detect vulnerable prenatal window to carcinogenic polycyclic aromatic hydrocarbons on fetal growth.

Authors:  Lu Wang; Hyunok Choi
Journal:  Biom J       Date:  2013-11-18       Impact factor: 2.207

Review 10.  Statistical issues in life course epidemiology.

Authors:  Bianca L De Stavola; Dorothea Nitsch; Isabel dos Santos Silva; Valerie McCormack; Rebecca Hardy; Vera Mann; Tim J Cole; Susan Morton; David A Leon
Journal:  Am J Epidemiol       Date:  2005-11-23       Impact factor: 4.897

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  5 in total

1.  There is no impact of exposure measurement error on latency estimation in linear models.

Authors:  S B Peskoe; D Spiegelman; M Wang
Journal:  Stat Med       Date:  2018-12-04       Impact factor: 2.373

2.  Survival analysis with functions of mismeasured covariate histories: the case of chronic air pollution exposure in relation to mortality in the nurses' health study.

Authors:  Xiaomei Liao; Xin Zhou; Molin Wang; Jaime E Hart; Francine Laden; Donna Spiegelman
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2017-06-15       Impact factor: 1.864

3.  Evaluating Public Health Interventions: 6. Modeling Ratios or Differences? Let the Data Tell Us.

Authors:  Donna Spiegelman; Tyler J VanderWeele
Journal:  Am J Public Health       Date:  2017-07       Impact factor: 9.308

4.  Time-varying associations between an exposure history and a subsequent health outcome: a landmark approach to identify critical windows.

Authors:  Cécilia Samieri; Cécile Proust-Lima; Maude Wagner; Francine Grodstein; Karen Leffondre
Journal:  BMC Med Res Methodol       Date:  2021-11-27       Impact factor: 4.615

5.  Impact of time-varying cumulative bevacizumab exposures on survival: re-analysis of data from randomized clinical trial in patients with metastatic colo-rectal cancer.

Authors:  Adrien Guilloteau; Michal Abrahamowicz; Olayide Boussari; Valérie Jooste; Thomas Aparicio; Catherine Quantin; Karine Le Malicot; Christine Binquet
Journal:  BMC Med Res Methodol       Date:  2021-01-09       Impact factor: 4.615

  5 in total

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