Mathematical Statistics
D. Abraham
PARTS III. and IV. of the twelfth volume of “Biometrika” contain papers of interest to all classes of statistician. Those especially attracted by work on the general mathematical theory of probability will welcome the continuation of Prof. Tchou-proff's paper on the “Expectation of the Moments of Frequency Distributions.” It will be agreed that the notation of mathematical expectation offers certain advantages over the iforms of expression more commonlv adopted in this; country, but Prof. Pearson does well to point out that the supposed fundamental distinction of method claimed by some Continental writers is nonexistent. He himself contributes a very interesting paper on. a method of generalising Tchebycheff's first theorem. He finds that the method of approximating to the limits of a probability is unlikely-to be of much practical value in the classes of function of usual occurrence. This result does not, of course, deprive Tchebycheff's work of its interest in permitting of the establishment of Bernoulli's theorem and of Poisson's generalisation of that theorem by elementary methods. Paper's of importance both to the student of theoretical -statistics and to the practical computer are those of Miss Pairman and Prof. Pearson on the correction of the moment coefficients in limited range frequency distributions, of “Student” on-deviations from the Poisson limit to the binomial in actual data, and an editorial,. entitled “Peceavimus,” correcting errors in various published formulae.
1920 sitasi
en
Computer Science
Australian Bureau of Statistics
Stuart Ross
Breast cancer statistics, 2019
C. DeSantis, Jiemin Ma, M. Gaudet
et al.
This article is the American Cancer Society’s biennial update on female breast cancer statistics in the United States, including data on incidence, mortality, survival, and screening. Over the most recent 5‐year period (2012‐2016), the breast cancer incidence rate increased slightly by 0.3% per year, largely because of rising rates of local stage and hormone receptor‐positive disease. In contrast, the breast cancer death rate continues to decline, dropping 40% from 1989 to 2017 and translating to 375,900 breast cancer deaths averted. Notably, the pace of the decline has slowed from an annual decrease of 1.9% during 1998 through 2011 to 1.3% during 2011 through 2017, largely driven by the trend in white women. Consequently, the black–white disparity in breast cancer mortality has remained stable since 2011 after widening over the past 3 decades. Nevertheless, the death rate remains 40% higher in blacks (28.4 vs 20.3 deaths per 100,000) despite a lower incidence rate (126.7 vs 130.8); this disparity is magnified among black women aged <50 years, who have a death rate double that of whites. In the most recent 5‐year period (2013‐2017), the death rate declined in Hispanics (2.1% per year), blacks (1.5%), whites (1.0%), and Asians/Pacific Islanders (0.8%) but was stable in American Indians/Alaska Natives. However, by state, breast cancer mortality rates are no longer declining in Nebraska overall; in Colorado and Wisconsin in black women; and in Nebraska, Texas, and Virginia in white women. Breast cancer was the leading cause of cancer death in women (surpassing lung cancer) in four Southern and two Midwestern states among blacks and in Utah among whites during 2016‐2017. Declines in breast cancer mortality could be accelerated by expanding access to high‐quality prevention, early detection, and treatment services to all women.
Descriptive Statistics and Normality Tests for Statistical Data
Prabhaker Mishra, C. Pandey, Uttam Singh
et al.
Descriptive statistics are an important part of biomedical research which is used to describe the basic features of the data in the study. They provide simple summaries about the sample and the measures. Measures of the central tendency and dispersion are used to describe the quantitative data. For the continuous data, test of the normality is an important step for deciding the measures of central tendency and statistical methods for data analysis. When our data follow normal distribution, parametric tests otherwise nonparametric methods are used to compare the groups. There are different methods used to test the normality of data, including numerical and visual methods, and each method has its own advantages and disadvantages. In the present study, we have discussed the summary measures and methods used to test the normality of the data.
Cancer statistics, 2013
R. Siegel, D. Naishadham, A. Jemal
Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths expected in the United States in the current year and compiles the most recent data on cancer incidence, mortality, and survival based on incidence data from the National Cancer Institute, the Centers for Disease Control and Prevention, and the North American Association of Central Cancer Registries and mortality data from the National Center for Health Statistics. A total of 1,660,290 new cancer cases and 580,350 cancer deaths are projected to occur in the United States in 2013. During the most recent 5 years for which there are data (2005‐2009), delay‐adjusted cancer incidence rates declined slightly in men (by 0.6% per year) and were stable in women, while cancer death rates decreased by 1.8% per year in men and by 1.5% per year in women. Overall, cancer death rates have declined 20% from their peak in 1991 (215.1 per 100,000 population) to 2009 (173.1 per 100,000 population). Death rates continue to decline for all 4 major cancer sites (lung, colorectum, breast, and prostate). Over the past 10 years of data (2000‐2009), the largest annual declines in death rates were for chronic myeloid leukemia (8.4%), cancers of the stomach (3.1%) and colorectum (3.0%), and non‐Hodgkin lymphoma (3.0%). The reduction in overall cancer death rates since 1990 in men and 1991 in women translates to the avoidance of approximately 1.18 million deaths from cancer, with 152,900 of these deaths averted in 2009 alone. Further progress can be accelerated by applying existing cancer control knowledge across all segments of the population, with an emphasis on those groups in the lowest socioeconomic bracket and other underserved populations. CA Cancer J Clin 2013;. © 2013 American Cancer Society.
Cancer statistics, 2012
R. Siegel, D. Naishadham, A. Jemal
Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths expected in the United States in the current year and compiles the most recent data on cancer incidence, mortality, and survival based on incidence data from the National Cancer Institute, the Centers for Disease Control and Prevention, and the North American Association of Central Cancer Registries and mortality data from the National Center for Health Statistics. A total of 1,638,910 new cancer cases and 577,190 deaths from cancer are projected to occur in the United States in 2012. During the most recent 5 years for which there are data (2004‐2008), overall cancer incidence rates declined slightly in men (by 0.6% per year) and were stable in women, while cancer death rates decreased by 1.8% per year in men and by 1.6% per year in women. Over the past 10 years of available data (1999‐2008), cancer death rates have declined by more than 1% per year in men and women of every racial/ethnic group with the exception of American Indians/Alaska Natives, among whom rates have remained stable. The most rapid declines in death rates occurred among African American and Hispanic men (2.4% and 2.3% per year, respectively). Death rates continue to decline for all 4 major cancer sites (lung, colorectum, breast, and prostate), with lung cancer accounting for almost 40% of the total decline in men and breast cancer accounting for 34% of the total decline in women. The reduction in overall cancer death rates since 1990 in men and 1991 in women translates to the avoidance of about 1,024,400 deaths from cancer. Further progress can be accelerated by applying existing cancer control knowledge across all segments of the population, with an emphasis on those groups in the lowest socioeconomic bracket. CA Cancer J Clin 2012. © 2012 American Cancer Society.
Cancer Statistics, 2010
A. Jemal, R. Siegel, Jiaquan Xu
et al.
Each year, the American Cancer Society estimates the number of new cancer cases and deaths expected in the United States in the current year and compiles the most recent data regarding cancer incidence, mortality, and survival based on incidence data from the National Cancer Institute, the Centers for Disease Control and Prevention, and the North American Association of Central Cancer Registries and mortality data from the National Center for Health Statistics. Incidence and death rates are age‐standardized to the 2000 US standard million population. A total of 1,529,560 new cancer cases and 569,490 deaths from cancer are projected to occur in the United States in 2010. Overall cancer incidence rates decreased in the most recent time period in both men (1.3% per year from 2000 to 2006) and women (0.5% per year from 1998 to 2006), largely due to decreases in the 3 major cancer sites in men (lung, prostate, and colon and rectum [colorectum]) and 2 major cancer sites in women (breast and colorectum). This decrease occurred in all racial/ethnic groups in both men and women with the exception of American Indian/Alaska Native women, in whom rates were stable. Among men, death rates for all races combined decreased by 21.0% between 1990 and 2006, with decreases in lung, prostate, and colorectal cancer rates accounting for nearly 80% of the total decrease. Among women, overall cancer death rates between 1991 and 2006 decreased by 12.3%, with decreases in breast and colorectal cancer rates accounting for 60% of the total decrease. The reduction in the overall cancer death rates translates to the avoidance of approximately 767,000 deaths from cancer over the 16‐year period. This report also examines cancer incidence, mortality, and survival by site, sex, race/ethnicity, geographic area, and calendar year. Although progress has been made in reducing incidence and mortality rates and improving survival, cancer still accounts for more deaths than heart disease in persons younger than 85 years. Further progress can be accelerated by applying existing cancer control knowledge across all segments of the population and by supporting new discoveries in cancer prevention, early detection, and treatment. CA Cancer J Clin 2010. © 2010 American Cancer Society, Inc.
Cancer Statistics, 2008
A. Jemal, R. Siegel, Elizabeth E. Ward
et al.
Genetic differentiation and estimation of gene flow from F-statistics under isolation by distance.
F. Rousset
3733 sitasi
en
Biology, Medicine
Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics:
C. Fornell, D. Larcker
6483 sitasi
en
Computer Science
Statistics and Data Analysis in Geology.
R. Reyment, J. C. Davis
Discovering statistics using SPSS for Windows.
A. Field
Patent Statistics as Economic Indicators: A Survey
Z. Griliches
Applied multivariate statistics for the social sciences, 4th ed.
J. Stevens
Applied Multivariate Statistics for the Social Sciences
J. Stevens
7616 sitasi
en
Mathematics, Psychology
Statistics notes: Cronbach's alpha
Martin Bland, Douglas G. Altman, Douglas G Altaian
Circular statistics in biology
E. Batschelet
Nonparametric statistics for the behavioral sciences
Sidney Siegel
9670 sitasi
en
Psychology
Statistics for long-memory processes
J. Beran
3747 sitasi
en
Computer Science
Bayesian image restoration, with two applications in spatial statistics
J. Besag, J. York, A. Mollié
4217 sitasi
en
Mathematics