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Comment
. 2019 Jan 1;111(1):101-102.
doi: 10.1093/jnci/djy163.

Response to DeSantis and Jemal

Affiliations
Comment

Response to DeSantis and Jemal

Brittny C Davis Lynn et al. J Natl Cancer Inst. .
No abstract available

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Figures

Figure 1.
Figure 1.
Estimated cohort rate ratios with JoinPoint analysis for primary invasive female breast cancer incidence among non-Hispanic White women (stars) and non-Hispanic Black women (diamonds), using single-year SEER 13 data for ages 30 to 84 and calendar years 1992 to 2014. Age-period-cohort forecasting models estimate cohort-specific age-specific incidence for observed and forecast years (2015–2030) using estimated age-specific incidence for the 1957 reference birth cohort (data not shown) multiplied by the observed (1908–1984) and future (1985–2000) birth cohort relative risks as shown. The JoinPoint model for non-Hispanic White women has four statistically significant segments, and the model for non-Hispanic Black women has three. Shaded bands show point-wise 95% confidence intervals (CI) for the cohort rate-ratios for the observed and future cohorts. For more details on projections, see Best et al. 2018 [4].

Comment on

References

    1. Davis Lynn BC, Rosenberg PS, Anderson WF, Gierach GL. Black-white breast cancer incidence trends: effects of ethnicity. J Natl Cancer Inst. 2018;11011:1270–1272. - PMC - PubMed
    1. Rosenberg PS, Barker KA, Anderson WF.. Estrogen receptor status and the future burden of invasive and in situ breast cancers in the United States. J Natl Cancer Inst. 2015;1079:djv159.. - PMC - PubMed
    1. Chernyavskiy P, Little MP, Rosenberg PS.. A unified approach for assessing heterogeneity in age-period-cohort model parameters using random effects. Stat Methods Med Res. 2017; doi:10.1177/0962280217713033 - PubMed
    1. Best AF, Haozous EA, de Gonzalez AB, et al. Premature mortality projections in the USA through 2030: a modelling study. Lancet Public Health. 2018;38:e374. - PMC - PubMed