How much do tumor stage and treatment explain socioeconomic inequalities in breast cancer survival? Applying causal mediation analysis to population-based data

[1]  Jarvis T. Chen,et al.  The Role of Stage at Diagnosis in Colorectal Cancer Black–White Survival Disparities: A Counterfactual Causal Inference Approach , 2015, Cancer Epidemiology, Biomarkers & Prevention.

[2]  Michel Grzebyk,et al.  Net Survival Estimation with Stns , 2014 .

[3]  James M. Robins,et al.  Effect decomposition in the presence of an exposure-induced mediator-outcome confounder. , 2014, Epidemiology.

[4]  Sally R. Hinchliffe,et al.  How much of the deprivation gap in cancer survival can be explained by variation in stage at diagnosis: An example from breast cancer in the East of England , 2013, International journal of cancer.

[5]  Bernard Rachet,et al.  Comparability of stage data in cancer registries in six countries: Lessons from the International Cancer Benchmarking Partnership , 2013, International journal of cancer.

[6]  Janez Stare,et al.  On Estimation in Relative Survival , 2012, Biometrics.

[7]  Bianca L. De Stavola,et al.  Gformula: Estimating Causal Effects in the Presence of Time-Varying Confounding or Mediation using the G-Computation Formula , 2011 .

[8]  M. Coleman,et al.  Changes over time in socioeconomic inequalities in breast and rectal cancer survival in England and Wales during a 32-year period (1973-2004): the potential role of health care. , 2011, Annals of oncology : official journal of the European Society for Medical Oncology.

[9]  R Craig,et al.  Adult anthropometric measures, overweight and obesity , 2010 .

[10]  Stijn Vansteelandt,et al.  Odds ratios for mediation analysis for a dichotomous outcome. , 2010, American journal of epidemiology.

[11]  M. Coleman,et al.  Socioeconomic inequalities in cancer survival in England after the NHS cancer plan , 2010, British Journal of Cancer.

[12]  Bernard Rachet,et al.  Socio-economic disparities in access to treatment and their impact on colorectal cancer survival. , 2010, International journal of epidemiology.

[13]  Wendy J Harrison,et al.  Latent class modelling of the association between socioeconomic background and breast cancer survival status at 5 years incorporating stage of disease , 2009, Journal of Epidemiology & Community Health.

[14]  M. Coleman,et al.  Large differences in patterns of breast cancer survival between Australia and England: A comparative study using cancer registry data , 2009, International journal of cancer.

[15]  I. Smith,et al.  Survival from breast cancer in England and Wales up to 2001 , 2008, British Journal of Cancer.

[16]  M. Coleman,et al.  Cancer survival in England and Wales at the end of the 20th century , 2008, British Journal of Cancer.

[17]  D. Forman,et al.  Unacceptable variation in abdominoperineal excision rates for rectal cancer: time to intervene? , 2008, Gut.

[18]  S. Geneletti.  Identifying direct and indirect effects in a non‐counterfactual framework , 2007 .

[19]  D. Forman,et al.  Socioeconomic background in relation to stage at diagnosis, treatment and survival in women with breast cancer , 2007, British Journal of Cancer.

[20]  Patrick Royston,et al.  Multivariable Modeling with Cubic Regression Splines: A Principled Approach , 2007 .

[21]  A. Philip Dawid,et al.  Direct and Indirect Effects of Sequential Treatments , 2006, UAI.

[22]  G. Smith,et al.  Measuring Multiple Deprivation at the Small-Area Level , 2006 .

[23]  S. Cole,et al.  Fallibility in estimating direct effects. , 2002, International journal of epidemiology.

[24]  Judea Pearl,et al.  Direct and Indirect Effects , 2001, UAI.

[25]  J. Robins,et al.  Identifiability and Exchangeability for Direct and Indirect Effects , 1992, Epidemiology.

[26]  M. Coleman,et al.  How many deaths would be avoidable if socioeconomic inequalities in cancer survival in England were eliminated? A national population-based study, 1996-2006. , 2012, European journal of cancer.

[27]  Helen Harris,et al.  Smoking and drinking among adults, 2009 , 2009 .

[28]  Faiza Tabassum,et al.  Adult anthropometric measures, overweight and obesity , 2009 .

[29]  B Rachet,et al.  Origins of socio-economic inequalities in cancer survival: a review. , 2006, Annals of oncology : official journal of the European Society for Medical Oncology.

[30]  J. Robins.  A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect , 1986 .