Philip S Rosenberg, Ph. D.

Affiliations: 
DCEG National Cancer Institue-NIH 
Area:
Statistics
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"Philip Rosenberg"
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Publications

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Tuan AW, Davis Lynn BC, Chernyavskiy P, et al. (2020) Breast Cancer Incidence Trends by Estrogen Receptor Status Among Asian American Ethnic Groups, 1990-2014. Jnci Cancer Spectrum. 4: pkaa005
Mesa-Eguiagaray I, Wild SH, Rosenberg PS, et al. (2020) Distinct temporal trends in breast cancer incidence from 1997 to 2016 by molecular subtypes: a population-based study of Scottish cancer registry data. British Journal of Cancer
Sung H, Devi BCR, Tang TS, et al. (2019) Divergent breast cancer incidence trends by hormone receptor status in the state of Sarawak, Malaysia. International Journal of Cancer
Sung H, Rosenberg PS, Yang XR. (2019) Re: Contrasting Epidemiology and Clinicopathology of Female Breast Cancer in Asians versus the US Population. Journal of the National Cancer Institute
Chernyavskiy P, Little MP, Rosenberg PS. (2019) Spatially varying age-period-cohort analysis with application to US mortality, 2002-2016. Biostatistics (Oxford, England)
Tota JE, Best AF, Zumsteg ZS, et al. (2019) Evolution of the Oropharynx Cancer Epidemic in the United States: Moderation of Increasing Incidence in Younger Individuals and Shift in the Burden to Older Individuals. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology. JCO1900370
Sung H, Siegel RL, Rosenberg PS, et al. (2019) Emerging cancer trends among young adults in the USA: analysis of a population-based cancer registry. The Lancet. Public Health
Rosenberg PS. (2019) A new age-period-cohort model for cancer surveillance research. Statistical Methods in Medical Research. 28: 3363-3391
Chernyavskiy P, Kennerley VM, Jemal A, et al. (2019) Heterogeneity of colon and rectum cancer incidence across 612 SEER counties, 2000-2014. International Journal of Cancer. 144: 1786-1795
Chernyavskiy P, Little MP, Rosenberg PS. (2019) A unified approach for assessing heterogeneity in age-period-cohort model parameters using random effects. Statistical Methods in Medical Research. 28: 20-34
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