Literature DB >> 20011616

Smoking and Cancers: Case-robust Analysis of a Classic Data Set.

Peter M Bentler1, Albert Satorra, Ke-Hai Yuan.   

Abstract

A typical structural equation model is intended to reproduce the means, variances, and correlations or covariances among a set of variables based on parameter estimates of a highly restricted model. It is not widely appreciated that the sample statistics being modeled can be quite sensitive to outliers and influential observations leading to bias in model parameter estimates. A classic public epidemiological data set on the relation between cigarette purchases and rates of four types of cancer among states in the USA is studied with case-weighting methods that reduce the influence of a few cases on the overall results. The results support and extend the original conclusions; the standardized effect of smoking on a factor underlying deaths from bladder and lung cancer is .79.

Entities:  

Year:  2009        PMID: 20011616      PMCID: PMC2790284          DOI: 10.1080/10705510902751382

Source DB:  PubMed          Journal:  Struct Equ Modeling        ISSN: 1070-5511            Impact factor:   6.125


  9 in total

1.  Cigarette smoking and bladder cancer in men: a pooled analysis of 11 case-control studies.

Authors:  P Brennan; O Bogillot; S Cordier; E Greiser; W Schill; P Vineis; G Lopez-Abente; A Tzonou; J Chang-Claude; U Bolm-Audorff; K H Jöckel; F Donato; C Serra; J Wahrendorf; M Hours; A T'Mannetje; M Kogevinas; P Boffetta
Journal:  Int J Cancer       Date:  2000-04-15       Impact factor: 7.396

2.  Robust transformation with applications to structural equation modelling.

Authors:  K H Yuan; W Chan; P M Bentler
Journal:  Br J Math Stat Psychol       Date:  2000-05       Impact factor: 3.380

3.  Effect of outliers on estimators and tests in covariance structure analysis.

Authors:  K H Yuan; P M Bentler
Journal:  Br J Math Stat Psychol       Date:  2001-05       Impact factor: 3.380

4.  Influential observations in the estimation of mean vector and covariance matrix.

Authors:  Wai-Yin Poon; Yat Sun Poon
Journal:  Br J Math Stat Psychol       Date:  2002-05       Impact factor: 3.380

5.  Scaled test statistics and robust standard errors for non-normal data in covariance structure analysis: a Monte Carlo study.

Authors:  C P Chou; P M Bentler; A Satorra
Journal:  Br J Math Stat Psychol       Date:  1991-11       Impact factor: 3.380

6.  Robust mean and covariance structure analysis.

Authors:  K H Yuan; P M Bentler
Journal:  Br J Math Stat Psychol       Date:  1998-05       Impact factor: 3.380

7.  Cigarette smoking and cancers of the urinary tract: geographic variation in the United States.

Authors:  J F Fraumeni
Journal:  J Natl Cancer Inst       Date:  1968-11       Impact factor: 13.506

8.  Asymptotically distribution-free methods for the analysis of covariance structures.

Authors:  M W Browne
Journal:  Br J Math Stat Psychol       Date:  1984-05       Impact factor: 3.380

9.  The contribution of cigarette smoking to bladder cancer in women (pooled European data).

Authors:  P Brennan; O Bogillot; E Greiser; J Chang-Claude; J Wahrendorf; S Cordier; K H Jöckel; G Lopez-Abente; A Tzonou; P Vineis; F Donato; M Hours; C Serra; U Bolm-Audorff; W Schill; M Kogevinas; P Boffetta
Journal:  Cancer Causes Control       Date:  2001-06       Impact factor: 2.506

  9 in total
  3 in total

1.  SEM with simplicity and accuracy.

Authors:  Peter M Bentler
Journal:  J Consum Psychol       Date:  2010-04

2.  Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic.

Authors:  Albert Satorra; Peter M Bentler
Journal:  Psychometrika       Date:  2010-06       Impact factor: 2.500

3.  Are Farmers in National Park Communities Willing to Reallocate Their Lands? A Situational Analysis.

Authors:  Yan Gao; Qian Dong; Yi Deng
Journal:  Int J Environ Res Public Health       Date:  2022-07-14       Impact factor: 4.614

  3 in total

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