17,547 research outputs found
ENTREVISTA: MARIA INÊS PAGLIARINI COX
No full textEntrevista com a Professora Maria Inês Pagliarini Cox
Cox, (Mrs Maria Juliette, [No Service Number]
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/379242Surname: COX
Given Name(s) or Initials: (MRS MARIA JULIETTE
Military Service Number or Last Known Location: No Service Number
Missing, Wounded and Prisoner of War Enquiry Card Index Number: 29190193054
Item: [2016.0049.11535] "Cox, (Mrs Maria Juliette, [No Service Number]
Análise de sobrevivência - Aplicação do modelo de regressão de Cox
No full textO principal propósito, desta pesquisa, foi realizar um estudo sobre análise de sobrevivência utilizando o modelo semi-paramétrico de riscos proporcionais de Cox. Para essa análise utilizaram-se dados obtidos no Hospital Universitário de Santa Maria, referentes a 69 pacientes com diagnóstico de câncer no aparelho digestivo. Estes pacientes foram acompanhados até a morte, ou o fim do estudo, ou a perda do seguimento. As covariáveis avaliadas foram: idade, tipo de cirurgia, estágio da doença, tipo de tratamento cirúrgico e data de óbito ou de censura. A média de idade dos pacientes foi de 60 anos, sendo que 71% deles tiveram como desfecho o óbito. A análise mostrou pelo modelo de riscos proporcionais de Cox ajustado para os dados, que apenas a covariável estágio da doença foi significativa (p=0,001), verificado pelo teste da razão de verossimilhanças parcial e teste de Wald. Com o modelo encontrado, concluiu-se que o risco relativo de óbito aumenta com o avanço do estágio da doença
Generating Survival Times to Simulate Cox Proportional Hazards Models
No full textThis paper discusses techniques to generate survival times for simulation studies regarding Cox proportional hazards models. In linear regression models, the response variable is directly connected with the considered covariates, the regression coefficients and the simulated random errors. Thus, the response variable can be generated from the regression function, once the regression coefficients and the error distribution are specified. However, in the Cox model, which is formulated via the hazard function, the effect of the covariates have to be translated from the hazards to the survival times, because the usual software packages for estimation of Cox models require the individual survival time data. A general formula describing the relation between the hazard and the corresponding survival time of the Cox model is derived. It is shown how the exponential, the Weibull and the Gompertz distribution can be used to generate appropriate survival times for simulation studies. Additionally, the general relation between hazard and survival time can be used to develop own distributions for special situations and to handle flexibly parameterized proportional hazards models. The use of other distributions than the exponential distribution only is indispensable to investigate the characteristics of the Cox proportional hazards model, especially in non-standard situations, where the partial likelihood depends on the baseline hazard
Interview with Mark Cox
No full textMark Cox is a professor of Creative Writing at UNCW, and has served as Chair of the department. He is the author of three full-length poetry collections: Smoulder, Thirty-Seven Years from the Stone, and Natural Causes
On Campus Video, featuring Abilene (TX) businessman and author Jack Cox.
No full textA videorecording of an interview with Abilene (TX) businessman and author Jack Cox, conducted by Dr. Gary McCaleb of Abilene Christian University
Concentration in Knowledge Output: A case of Economics Journals
No full textThis paper assesses the degree of author concentration in seven economics journals, which were published in India during 1990-2002. To measure the degree of author concentration, Lotka's Law was used. Moreover, we also make an exploratory analysis of the geographic, economics subfield and institutional concentration in 704 economics journals. An important finding of this paper is that specialized journals in the sample report the highest degree of author concentration. This result is quite similar to the findings by Cox and Chung (1991). Furthermore, there are several instances showing that the journals lean towards certain norms; this may affect the flow of innovative ideas into economics. We conclude that a knowledge activity, involving the high degree of concentration and a biased publication process, may affect the flow of new ideas into the discipline.Concentration, Lotka's Law
Marriage record of Cox, Willie and Brisbon, Maria
No full textMarriage license for Willie Cox and Maria Brisbon. Y.K. Meeks was the officiant
Mary Ann Cox Index: Royal Society Collection
No full textBurton-Wood: in a series of letters, by a lady (Mrs. - Cox nee Wight), London (printed for the author by H.D.Steel) 1783, vol.11
(octovo vol, leather bound)
Enclosed: note The book Burtonwood was written by the mother of
Mary Ann Cox who ran the first coach from Hobart to Launceston.
It was passed on to me by her grand-daughter Miss Dora Clerk of Malahide.
I also am a grand-daughter of Mrs. Cox. Joan Harvey
(John Edward Cox m. Mary Ann Halls
V.D.L. 1821 J.E.C. started Hobart-Launceston coach) - (note - Mrs.
Harvey's identification of the author of the volume was based on family
tradition although not confirmed - no details are known of John Edward
Cox's parents)
Poems by C(harles) Best c 1847 - 1849
Includes poems to Miss Wilmot (Georgiana Wilmot, - Mrs. C. Butler)
and Mary Wilmot.
Enclosed: note by Joan Harvey
Article on Mrs. Mary Ann Cox 1950.
A pioneer career woman (on coach service between Hobart - Launceston)
from "Woman's Day" Aug. 21, 1950 (news clipping)
R.S. 14
Bias of Maximum-Likelihood estimates in logistic and Cox regression models: A comparative simulation study
No full textParameter estimates of logistic and Cox regression models are biased for finite samples. In a simulation study we investigated for both models the behaviour of the bias in relation to sample size and further parameters. In the case of a dichotomous explanatory variable x the magnitude of the bias is strongly influenced by the baseline risk defined by the constants of the models and the risk resulting for the high risk group. To conduct a direct comparison of the bias of the two models analyses were based on the same simulated data. Overall, the bias of the two models appear to be similar, however, the Cox model has less bias in situations where the baseline risk is high
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