Results 11 to 20 of about 4,258,164 (243)

Deep Recurrent Survival Analysis

, 2018
Survival analysis is a hotspot in statistical research for modeling time-to-event information with data censorship handling, which has been widely used in many applications such as clinical research, information system and other fields with survivorship ...
Qin, Jiarui, Qiu, Lin, Ren, Kan, Yang, Zhengyu, Yu, Yong, Zhang, Weinan, Zheng, Lei   +6 more
core   +1 more source

Deep learning cardiac motion analysis for human survival prediction [PDF]

, 2018
Motion analysis is used in computer vision to understand the behaviour of moving objects in sequences of images. Optimising the interpretation of dynamic biological systems requires accurate and precise motion tracking as well as efficient ...
Bello, Ghalib A., Biffi, Carlo, Cook, Stuart A., Dawes, Timothy J. W., de Marvao, Antonio, Duan, Jinming, Gibbs, J. Simon R., Howard, Luke S. G. E., O'Regan, Declan P., Rueckert, Daniel, Wilkins, Martin R.   +10 more
core   +2 more sources

Nonparametric survival analysis of epidemic data

, 2011
This paper develops nonparametric methods for the survival analysis of epidemic data based on contact intervals. The contact interval from person i to person j is the time between the onset of infectiousness in i and infectious contact from i to j, where
Aalen, Aalen, Altshuler, Becker, Becker, Carcione, Cauchemez, Cox, Dempster, Donnelly, Ferguson, Ferguson, Fine, France, Fraser, Kalbfleisch, Kaplan, Kenah, Kenah, Lee, Lipsitch, McBryde, Mills, Morgan, Müller, Nelson, Rampey, Rhodes, Roberts, Sinha, Sugimoto, Svensson, Van der Vaart, Wallinga, Wallinga, Watts, Wegman, White, Yang   +38 more
core   +1 more source

Phase 3 Trial of 177Lu-Dotatate for Midgut Neuroendocrine Tumors [PDF]

, 2017
Background Patients with advanced midgut neuroendocrine tumors who have had disease progression during first-line somatostatin analogue therapy have limited therapeutic options.
Al‐nahhas, A, Ansquer, C, Anthony, L, Azevedo, I, Baudin, E, Baum, Rp, Baum, Rp, Benson, A, Benson, Ab, Berlin, J, Berlin, J, Bodei, L, Brianzoni, E, Bushnell, D, Bushnell, D, Caplin, M, Caplin, M, Chasen, B, Chiara Grana, M, Courbon, F, DELLE FAVE, Gianfranco, Delpassand, E, Delpassand, E, El Haddad, G, Erion, Jl, Freemantle, N, Garbus, S, Giammarile, F, Grande, E, Grande, E, Grossman, A, Hendifar, A, Hendifar, A, Hobday, T, Hobday, T, Jacene, H, Krenning, E, Kulkarni, Hr, Kulke, M, Kulke, Mh, Kunz, Pl, Kvols, L, Kwekkeboom, D, Lebtahi, R, Lopera Sierra, M, Manoharan, P, Mariani, G, Metz, D, Mittra, E, Mittra, E, Mora, J, Mora, J, Morse, M, O'Dorisio, Tm, Pavel, M, Pavel, M, Reed, N, Reed, N, Rindi, G, Ruszniewski, P, Ruszniewski, P, Santoro, P, Scheidhauer, K, Schipper, M, Seregni, E, Seregni, E, Severi, S, Srirajaskanthan, R, Srirajaskanthan, R, Strosberg, J, Strosberg, J, Sundin, A, Taieb, D, Thevenet, T, Van Cutsem, E, Van Cutsem, E, Weber, M, Wolin, E, Wolin, E, Yao, J, Yao, J., Öberg, K, Öberg, K   +82 more
core   +1 more source

The impact of old age on cancer-specific and non-cancer-related survival following elective potentially curative surgery for Dukes A/B colorectal cancer [PDF]

, 2008
Previous studies have suggested that survival following surgery for colorectal cancer is poorer in the elderly. However, the findings were inconsistent and none of the studies adjusted for case mix.
Hole, D.J., McArdle, C.S., McMillan, D.C.   +2 more
core   +2 more sources

Informed Bayesian survival analysis

BMC Medical Research Methodology, 2022
AbstractBackgroundWe provide an overview of Bayesian estimation, hypothesis testing, and model-averaging and illustrate how they benefit parametric survival analysis. We contrast the Bayesian framework to the currently dominant frequentist approach and highlight advantages, such as seamless incorporation of historical data, continuous monitoring of ...
Bartoš, F., Aust, F., Haaf, J.M.
openaire   +7 more sources

Population and species neighbor identity impact trait–trait relationships and plant performance

Population Ecology, EarlyView.
We evaluated how populations and species identity influence plant performance and trait outcomes in mixtures, and assessed trait variation among populations of two forb species native to the western United States (Dieteria canescens and Heterotheca villosa) following three interaction treatments (single‐population monoculture, two‐population mixture ...
Alicia J. Foxx, Florian Fort, Andrea T. Kramer   +2 more
wiley   +1 more source

Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits [PDF]

, 2014
A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications.
Labouriau, Rodrigo, Madsen, Per, Maia, Rafael Pimentel   +2 more
core   +2 more sources

Effects of chronic browsing on life‐history traits of an irruptive large herbivore population

Population Ecology, EarlyView.
This study aimed to determine the relationship between diet quality, body mass, and size (hind foot length), and female reproduction and sought to identify the mechanism by which high density under severe food limitations is maintained. Our results demonstrated that sika deer introduced to Nakanoshima Island have maintained high densities through high ...
Koichi Kaji, Kazutaka M. Takeshita, Hiroshi Takahashi, Hiromasa Igota, Mayumi Ueno, Yukiko Matsuura, Takashi Ikeda, Ryo Yoshizawa, Hino Takafumi, Tsuyoshi Yoshida   +9 more
wiley   +1 more source

Cure Models in Survival Analysis [PDF]

Annual Review of Statistics and Its Application, 2018
When analyzing time-to-event data, it often happens that a certain fraction of the data corresponds to subjects who will never experience the event of interest. These event times are considered as infinite and the subjects are said to be cured. Survival models that take this feature into account are commonly referred to as cure models.
Amico, Maïlis, Van Keilegom, Ingrid
openaire   +6 more sources