Cancer survival analysis and spatial distribution during 2014–2016 in Shandong Province, China

[1]  Wanqing Chen,et al.  Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020 , 2021, Chinese medical journal.

[2]  A. Jemal,et al.  Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries , 2021, CA: a cancer journal for clinicians.

[3]  S. Dech,et al.  An Introduction to Spatial Data Analysis , 2020 .

[4]  Erratum: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. , 2020, CA: a cancer journal for clinicians.

[5]  J. Traxler,et al.  Spatial modelling of the infestation indices of Aedes aegypti: an innovative strategy for vector control actions in developing countries , 2020, Parasites & Vectors.

[6]  A. Gavin,et al.  Progress in cancer survival, mortality, and incidence in seven high-income countries 1995-2014 (ICBP SURVMARK-2): a population-based study. , 2019, The Lancet. Oncology.

[7]  M. Gatton,et al.  Individual- and Area-Level Socioeconomic Inequalities in Esophageal Cancer Survival in Shandong Province, China: A Multilevel Analysis , 2019, Cancer Epidemiology, Biomarkers & Prevention.

[8]  Ning Wang,et al.  Changing cancer survival in China during 2003-15: a pooled analysis of 17 population-based cancer registries. , 2018, The Lancet. Global health.

[9]  Sidney J. Culture.  International Symposium on End Results of Cancer Therapy , 2016 .

[10]  M. Coleman,et al.  The impact of age at diagnosis on socioeconomic inequalities in adult cancer survival in England , 2015, Cancer epidemiology.

[11]  H. Brenner,et al.  Recent cancer survival in Germany: An analysis of common and less common cancers , 2015, International journal of cancer.

[12]  Ning Wang,et al.  Cancer survival in China, 2003–2005: A population‐based study , 2015, International journal of cancer.

[13]  W. Pao,et al.  Disparities by Race, Age, and Sex in the Improvement of Survival for Major Cancers: Results From the National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) Program in the United States, 1990 to 2010. , 2015, JAMA oncology.

[14]  Enzo Coviello,et al.  Estimating and Modeling Relative Survival , 2015 .

[15]  Bernard Rachet,et al.  40-year trends in an index of survival for all cancers combined and survival adjusted for age and sex for each cancer in England and Wales, 1971–2011: a population-based study , 2015, The Lancet.

[16]  W. Maier,et al.  Socioeconomic deprivation and cancer survival in Germany: An ecological analysis in 200 districts in Germany , 2014, International journal of cancer.

[17]  Wanqing Chen,et al.  Breast cancer in China. , 2014, The Lancet. Oncology.

[18]  L. Ellison,et al.  Cancer incidence, mortality and survival trends in Canada, 1970-2007. , 2013, Chronic diseases and injuries in Canada.

[19]  Kuang-Yung Huang,et al.  The Combined Effect of Individual and Neighborhood Socioeconomic Status on Cancer Survival Rates , 2012, PloS one.

[20]  A. Getis.  The Analysis of Spatial Association by Use of Distance Statistics , 2010 .

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

[22]  T. Hickish,et al.  Changes in cancer incidence and mortality in England and Wales and a comparison of cancer deaths in the major developed countries by age and sex 1979–2002 in context of GDP expenditure on health , 2008, Ecancermedicalscience.

[23]  Mike Quinn,et al.  Standard cancer patient population for age standardising survival ratios. , 2004, European journal of cancer.

[24]  S. Leeder,et al.  A population based study , 1993, The Medical journal of Australia.

[25]  N. L. Johnson,et al.  Survival Models and Data Analysis , 1982 .

[26]  Tom A. B. Snijders,et al.  Multilevel Analysis , 2011, International Encyclopedia of Statistical Science.

[27]  V. Prasannakumar,et al.  Spatio-Temporal Clustering of Road Accidents: GIS Based Analysis and Assessment , 2011 .

[28]  E. Feuer,et al.  SEER Cancer Statistics Review, 1975-2003 , 2006 .

[29]  Youngihn Kho,et al.  GeoDa: An Introduction to Spatial Data Analysis , 2006 .

[30]  Richard J. K. Taylor,et al.  Long-term survival of women with breast cancer in New South Wales. , 2003, European journal of cancer.

[31]  S. Cutler.  INTERNATIONAL SYMPOSIUM ON END RESULTS OF CANCER THERAPY. COMPUTATION OF SURVIVAL RATES. , 1964, National Cancer Institute monograph.