The Analysis of Survival Data

By R. Kay. 2012

2,159 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fd89a9d873265c46da2db3c41db150a3ec1c5c6e

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Citations in the corpus

Edge effects and the impact of non‐protected areas in carnivore conservation: leopards in the Phinda–Mkhuze Complex, South Africa (2010, methodology): “We used Cox proportional-hazards regression (Cox & Oakes, 1984) to evaluate the effect of different variables on the survival probability of leopards.”
Data Mining in Healthcare and Biomedicine: A Survey of the Literature (2012, methodology): “Table 2 Summary of Datasets used in the study by Potter [ 41 ]”
The Registry of the International Society for Heart and Lung Transplantation: Thirtieth Official Adult Heart Transplant Report--2013; focus theme: age. (2013, methodology): “Multivariable analyses were performed using Cox proportional hazard regression analysis.(2) Results of the multivariable analyses are reported as hazard ratios (HR) with corresponding 95% confidence intervals (CIs), and/or p-values.”
Do loan loss reserves behave like capital? Evidence from recent bank failures (2014, neutral): “We rely on the widely used Cox proportional hazard model (Cox 1972; Cox and Oakes 1984), which has the following form: h(t) = h0(t)exp(Xibi), where h(t), the hazard rate, is the risk of failure at a certain point in time, conditional on survival until that point in time; Xi is a vector of explanator”
Institutional monitoring through shareholder litigation (2010, neutral): “Moreover, we believe one important factor that 41 For more discussion of hazard models, please refer to Cox and Oakes (1984), Whalen (1991), Chen and Lee (1993), Abdel-khalik (1993), Henebry (1996), Trimbath, Frydman and Frydman (2001) and Gregoriou, Kooli and Rouah (2008).”
The duration of trade revisited (2011, neutral): “Then, strictly speaking, continuous-time techniques are inappropriate (see Cox and Oakes 1984, p. 99).”
Semi-Markov models for degradation-based reliability (2010, methodology): “One example is the Proportional Hazard Model (PHM) developed by Cox in 1972 to analyze medical survival data (Cox, 1972; Cox and Oakes, 1984).”
High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 (2020, background): “It can be shown mathematically (3) that the probability that no exposed or symptomatic traveler arrived to province ii during a short time interval (tt, tt + Δtt), Δtt ≪ 1 is:”
Deep learning with multimodal representation for pancancer prognosis prediction (2019, background): “Prognosis prediction can be formulated as a censored survival analysis problem [8,9], 41 predicting both if and when an event (i.”
Conspecific plant–soil feedbacks reduce survivorship and growth of tropical tree seedlings (2010, methodology): “Cox proportional hazards regression (Cox & Oakes 1984) tested relative effects of soil source (species culturing soil), sterilization, light availability and initial seed mass on survival times.”
Testing exponentiality based on characterizations of the exponential distribution (2011, methodology): “(3) The test statistic of Cox and Oakes [33] is COn = n + n∑ i=1 (1 − yi) log(yi).”
Open challenges for data stream mining research (2014, background): “In static environments, events are usually studied through event history analysis (EHA), a statistical method for modeling and analyzing the temporal distribution of events related to specific objects in the course of their lifetime [9].”