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Mashup Score: 0Chief, Statistical Research and Applications Branch - 6 month(s) ago
The Surveillance Research Program (SRP), an integral program of the National Cancer Institute’s (NCI) Division of Cancer Control and Population Sciences (DCCPS), welcomes letters of interest for Chief of its Statistical Research and Applications Branch (SRAB). SRP provides national and international leadership in the science of cancer surveillance, and manages the Surveillance, Epidemiology, and End Results (SEER) Program, a comprehensive population-based cancer registry system covering approximately 50%
Source: surveillance.cancer.govCategories: General Medicine News, Onc News and JournalsTweet
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Mashup Score: 2SEER 50th Anniversary - 8 month(s) ago
2023 marks the 50th anniversa ry of the Surveillance, Epidemiology, and End Results (SEER) Program. SEER began collecting data on January 1, 1973 in the states of Connecticut, Iowa, New Mexico, Utah, and Hawaii, as well as the Detroit and San Francisco-Oakland metropolitan areas. The population coverage of SEER has grown over time and the Program now comprises 22 registries (now known as “SEER 22”). SEER 22 expanded coverage to include almost 50% of the U.S. population. Since the turn of the 21st
Source: surveillance.cancer.govCategories: Hem/Onc News and Journals, Latest HeadlinesTweet
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Mashup Score: 0CP*Trends: Compare Cohort and Period Trends across Cancer Sites - 11 month(s) ago
CP*Trends When searching for clues as to what sorts of factors are driving cancer rates, it is often useful to examine whether the rates differ more by year of birth (i.e. birth cohort) or calendar year (i.e. period). For some cancers this is fairly obvious. For example: Smoking rates differ by birth cohort, and so do lung cancer rates The rapid introduction of the PSA screening…
Source: surveillance.cancer.govCategories: Hem/Onc News and Journals, Latest HeadlinesTweet
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Mashup Score: 0Head-Bang Software - 11 month(s) ago
“Head-banging” is a weighted two-dimensional median-based smoothing algorithm, developed to reveal underlying geographic patterns in data where the values to be smoothed do not have equal variances. The original idea was proposed by Tukey and Tukey (1981), then studied and implemented by Hansen (1991). The staff at the National Center for Health Statistics worked with Hansen to add weights to the…
Source: surveillance.cancer.govCategories: Hem/Onc News and Journals, Latest HeadlinesTweet
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Mashup Score: 0Genetic Simulation Resources - 12 month(s) ago
A Catalogue of Genetic Simulation Resources
Source: surveillance.cancer.govCategories: Hem/Onc News and Journals, Latest HeadlinesTweet
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Mashup Score: 0Complete Prevalence (ComPrev) Software - 12 month(s) ago
Version 3.0.31 (Beta) released August 2022 We are pleased to announce a beta version of a completely new Comprev software application. This new version has been completely updated with a new interface and online help. This release is labeled “Beta”, which means we continue to fix bugs and add new features to the program. At this time, there are no known calculation errors in the program. The…
Source: surveillance.cancer.govCategories: Hem/Onc News and Journals, Latest HeadlinesTweet
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Mashup Score: 0
CI*Rank The CI*Rank website presents ranked, age-adjusted cancer incidence and mortality rates by state, county, and special region in the US. The site also presents confidence intervals for those ranks. Ranked, age-adjusted US mortality rates for other causes of death are also provided, along with the confidence intervals. Results presented in CI*Rank help show the usefulness of…
Source: surveillance.cancer.govCategories: Hem/Onc News and Journals, Latest HeadlinesTweet
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Mashup Score: 2Cansurv - 12 month(s) ago
CanSurv version 1.4 was released May 30, 2018 and includes an update to output options. The new options provide more flexibility for other programs to read the calculated results. CanSurv is a statistical software to analyze population-based survival data. For grouped survival data, it can fit both the standard survival models and the mixture cure survival models and provides various graphs for…
Source: surveillance.cancer.govCategories: Hem/Onc News and Journals, Latest HeadlinesTweet
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Mashup Score: 9Eric Feuer - 1 year(s) ago
Areas of Expertise: Cancer Control Modeling Statistical Methods for the Analysis, Interpretation, and Presentationof Population-based Cancer Statistics Development of New Cancer Progress Measures Survival Analysis Eric J. (Rocky) Feuer is a Branch Chief in the Surveillance Research Program (SRP) within the Division of Cancer Control and Population Sciences (DCCPS)…
Source: surveillance.cancer.govCategories: Hem/Onc News and Journals, Latest HeadlinesTweet-
Each year, the Service to America Medals from @publicservice honor exceptional federal employees. We are proud that @NCICancerStats Dr. Feuer is a finalist for this year’s Paul A. Volcker Career Achievement. Read more about his achievements-https://t.co/K4hsnJATi5 #Sammies2023 https://t.co/xJt95IynmO
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Mashup Score: 1Cancer Incidence Statistics - 1 year(s) ago
A cancer incidence rate is the number of new cancers of a specific site/type occurring in a specified population during a year, usually expressed as the number of cancers per 100,000 population at risk. That is, Incidence rate = (New cancers / Population) × 100,000 The numerator of the incidence rate is the number of new cancers; the denominator is the size of the population. The number of new…
Source: surveillance.cancer.govCategories: Hem/Onc News and Journals, Latest HeadlinesTweet
#Statisticians Submit your letter of interest for the position of Chief, Statistical Research and Applications Branch: https://t.co/1AI7IKOcvN #jobs @NIHforJobs https://t.co/bCPmcw8eE1