Trends and inequalities in laryngeal cancer survival in men and women: England and Wales 1991-2006.

Laryngeal cancer in men is a relatively common malignancy, with a marked socioeconomic gradient in survival between affluent and deprived patients. Cancer of the larynx in women is rare. Survival tends to lower than for men, and little is known about the association between deprivation and survival in women with laryngeal cancer. This paper explores the trends and socio-economic inequalities in laryngeal cancer survival in women, with comparison to men. We examined relative survival among men and women diagnosed with laryngeal cancer in England and Wales during 1991-2006, followed up to 31 December 2007. We estimated the difference in survival between the most deprived and most affluent groups (the 'deprivation gap') at one and five years after diagnosis, for each sex, anatomical subsite and calendar period. Five year survival for all laryngeal cancers combined was up to 8% lower in women than in men. This difference is only partially explained by the differential distribution of anatomical subsites in men and women. Disparities in survival between men and women were also present within specific subsites. In contrast to men, there was little evidence of a consistent deprivation gap in survival for women at any of the anatomical subsites. The stark socioeconomic inequalities in laryngeal cancer survival in men do not appear to be replicated in women. The origins of the socio-economic inequalities in survival among men, and the disparities in survival between men and women at specific tumour subsites remains unclear

Direct Estimation of Sizes of Higher-Order Graphs

With the aid of simple examples we show how to make simple estimates of the sizes of higher-order Feynman graphs. Our methods enable appropriate values of renormalization and factorization scales to be made. They allow the diagnosis of the source of unusually large corrections that are in need of resummation.Comment: 22 pages Revtex with epsf, postscript figures. Replacement is due to author error. Version is same as origina

Predicting smartphone operating system from personality and individual differences

Android and iPhone devices account for over 90% of all smartphones sold world-wide. Despite being very similar in functionality, current discourse and marketing campaigns suggest that key individual differences exist between users of these two devices; however, this has never been investigated empirically. This is surprising, as smartphones continue to gain momentum across a variety of research disciplines. In this paper we consider if individual differences exist between these two distinct groups. In comparison to Android users, we found that iPhone owners are more likely to be female, younger, and increasingly concerned about their smartphone being viewed as a status object. Key differences in personality were also observed with iPhone users displaying lower levels of honesty-humility and higher levels of emotionality. Following this analysis, we were also able to build and test a model that predicted smartphone ownership at above chance level based on these individual differences. In line with extended self theory, the type of smartphone owned provides some valuable information about its owner. These findings have implications for the increasing use of smartphones within research particularly for those working within Computational Social Science and PsychoInformatics, where data is typically collected from devices and applications running a single smartphone operating system

Multivariable flexible modelling for estimating complete, smoothed life tables for sub-national populations.

BACKGROUND: The methods currently available to estimate age- and sex-specific mortality rates for sub-populations are subject to a number of important limitations. We propose two alternative multivariable approaches: a relational model and a Poisson model both using restricted cubic splines. METHODS: We evaluated a flexible Poisson and flexible relational model against the Elandt-Johnson approach in a simulation study using 100 random samples of population and death counts, with different sampling proportions and data arrangements. Estimated rates were compared to the original mortality rates using goodness-of-fit measures and life expectancy. We further investigated an approach for determining optimal knot locations in the Poisson model. RESULTS: The flexible Poisson model outperformed the flexible relational and Elandt-Johnson methods with the smallest sample of data (1%). With the largest sample of data (20%), the flexible Poisson and flexible relational models performed comparably, though the flexible Poisson model displayed a slight advantage. Both approaches tended to underestimate infant mortality and thereby overestimate life expectancy at birth. The flexible Poisson model performed much better at young ages when knots were fixed a priori. For ages 30 and above, results were similar to the model with no fixed knots. CONCLUSIONS: The flexible Poisson model is recommended because it derives robust and unbiased estimates for sub-populations without making strong assumptions about age-specific mortality profiles. Fixing knots a priori in the final model greatly improves fit at the young ages

Associations between breast cancer subtype and neighborhood socioeconomic and racial composition among Black and White women

PURPOSE: Studies of Black-White differences in breast cancer subtype often emphasize potential ancestry-associated genetic or lifestyle risk factors without fully considering how the social or economic implications of race in the U.S. may influence risk. We assess whether neighborhood racial composition and/or socioeconomic status are associated with odds of triple-negative breast cancer (TNBC) diagnosis relative to the less-aggressive hormone receptor-positive/HER2-negative subtype (HR+ /HER-), and whether the observed relationships vary across women\u27s race and age groups. METHODS: We use multilevel generalized estimating equation models to evaluate odds of TNBC vs. HR+ /HER2- subtypes in a population-based cohort of 7291 Black and 74,208 White women diagnosed with breast cancer from 2006 to 2014. Final models include both neighborhood-level variables, adjusting for individual demographics and tumor characteristics. RESULTS: Relative to the HR+ /HER- subtype, we found modestly lower odds of TNBC subtype among White women with higher neighborhood median household income (statistically significant within the 45-64 age group, OR = 0.981 per $10,000 increase). Among Black women, both higher neighborhood income and higher percentages of Black neighborhood residents were associated with lower odds of TNBC relative to HR+ /HER2-. The largest reduction was observed among Black women diagnosed at age ≥ 65 (OR = 0.938 per$10,000 increase; OR = 0.942 per 10% increase in Black residents). CONCLUSION: The relationships between neighborhood composition, neighborhood socioeconomic status, and odds of TNBC differ by race and age. Racially patterned social factors warrant further exploration in breast cancer subtype disparities research

Single-Inclusive Jet Production in Polarized pp Collisions at O(alpha_s^3)

We present a next-to-leading order QCD calculation for single-inclusive high-p_T jet production in longitudinally polarized pp collisions within the ``small-cone'' approximation. The fully analytical expressions obtained for the underlying partonic hard-scattering cross sections greatly facilitate the analysis of upcoming BNL-RHIC data on the double-spin asymmetry A_{LL}^{jet} for this process in terms of the unknown polarization of gluons in the nucleon. We simultaneously rederive the corresponding QCD corrections to unpolarized scattering and confirm the results existing in the literature. We also numerically compare to results obtained with Monte-Carlo methods and assess the range of validity of the ``small-cone'' approximation for the kinematics relevant at BNL-RHIC.Comment: 23 pages, 8 eps-figure

Coefficient Functions and Open Charm Production in Deep Inelastic Scattering

It is shown that the problem of double counting in open charm production in DIS can be solved by using the expression for DIS coefficient functions in terms of 2PI diagramsComment: 11 pages, REVTeX, no figure

The Mortality-to-Incidence Ratio Is Not a Valid Proxy for Cancer Survival.

PURPOSE: The ratio of cancer mortality and cancer incidence rates in a population has conventionally been used as an indicator of the completeness of cancer registration. More recently, the complement of the mortality-to-incidence ratio (1-M/I) has increasingly been presented as a surrogate for cancer survival. We discuss why this is mistaken in principle and misleading in practice. METHODS: We provide an empirical assessment of the extent to which trends in the 1-M/I ratio reflect trends in cancer survival. We used national cancer incidence, mortality and survival data in England to compare trends in both the 1-M/I ratio and net survival at 1, 5, and 10 years for 19 cancers in men and 20 cancers in women over the 29-year period from 1981 to 2009. RESULTS: The absolute difference between the 1-M/I ratio and 5-year net survival for 2009 was less than 5% for only 12 of the 39 cancer/sex combinations examined. For an additional 12, the 1-M/I ratio differed from 5-year net survival by at least 15%. The comparison is also unstable over time; thus, even when differences were small for 2009, the difference between 5-year net survival and the 1-M/I ratio had changed dramatically for most cancers between 1981 and 2009. CONCLUSION: The 1-M/I ratio lacks any theoretical basis as a proxy for cancer survival. It is not a valid proxy for cancer survival in practice, either, whether at 5 years or at any other time interval since diagnosis. It has none of the useful properties of a population-based survival estimate. It should not be used as a surrogate for cancer survival

High-Energy Factorization and Small-X Deep Inelastic Scattering Beyond Leading Order

High-energy factorization in QCD is investigated beyond leading order and its relationship to the factorization theorem of mass singularities is established to any collinear accuracy. Flavour non-singlet observables are shown to be regular at small x order by order in perturbation theory. In the singlet sector, we derive the relevant master equations for the space-like evolution of gluons and quarks. Their solution enables us to sum next-to-leading corrections to the small-x behaviour of quark anomalous dimensions and deep inelastic scattering coefficient functions. We present results in both MSbar and DIS factorization schemes.Comment: 46 pages (+ 7 figures not included, available from the authors), Latex, Cavendish-HEP-94/0

Racial/ethnic and socioeconomic survival disparities for children and adolescents with central nervous system tumours in the United States, 2000-2015.

BACKGROUND AND OBJECTIVES: Central nervous system (CNS) malignancy is the commonest cause of cancer death in children and adolescents (0-19 years) in high-income settings. There is limited data on survival inequalities by race/ethnicity and socioeconomic position (SEP), for young patients, we aim to analyse their influence on survival from childhood CNS tumour. METHODS: 9577 children and adolescents diagnosed with primary malignant CNS tumours during 2000-2015, followed up until Dec 31 st, 2015, and reported to cancer registries (Surveillance, Epidemiology and End Results programme) were included in the analysis. Cox regression models estimated the hazard ratios for race/ethnicity, SEP, and individual insurance status, adjusting for sex, age, diagnostic period, and tumour type. Individual-level insurance status data were available from 2007. RESULTS: 62.5 % children and adolescents were non-Hispanic White, 10.6 % were non-Hispanic Black and 26.9 % were Hispanic. Race/ethnicity was strongly associated with survival (p < 0.001), even after adjusting for SEP, with Black (HR = 1.39 [95 %CI 1.23-1.58]) and Hispanic children (HR = 1.40 [95 %CI 1.28-1.54]) having higher hazards of death than White children. This association remained after adjusting for insurance status. There was an apparent positive association between SEP and survival that was largely attenuated after adjustment for insurance status (p = 0.20). Survival was comparable between those privately and Medicaid-insured. CONCLUSIONS: Non-Hispanic Black and Hispanic children had lower survival than their White counterparts. This association, not fully explained by differences in SEP, tumour subtype or health insurance, could be related to racially/ethnically-driven barriers to optimal healthcare, warranting further investigation