The Statistical Analysis of Failure Time Data (2nd Ed.). John D. Kalbfleisch and Ross L. Prentice
By O. Borgan. 2003
535 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/3d207b7a556ff453ad50b5768b32131d3b484272
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Citations in the corpus
- Home-Country Networks and Foreign Expansion (2016, unknown): “Thus, we allowed each subject to experience multiple entries (Allison, 1995; Kalbfleisch & Prentice, 2002).”
- A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data (2012, methodology): “/ [21] and a uniform law of large numbers [33], that”
- Risk Factors Associated With Mortality Among Patients With COVID-19 in Intensive Care Units in Lombardy, Italy. (2020, unknown): “Length of hospital stay, median (IQR), d 22 (12-42) 12 (8-19) 39 (24-61) 79 (74-84) <.”
- Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending (2013, unknown): “We use coefficients to construct a baseline hazard function (Kalbfleisch and Prentice 2002), which increases initially, peaks at about 10 months, and then slowly wears off.”
- Institutions and the internationalization of US venture capital firms (2010, unknown): “0 Pr tpTot þ DtjTXtf g Dt ð1Þ and specifies the instantaneous rate at which entry occurs at time t, given that the event has not yet occurred (Allison, 1995; Kalbfleisch & Prentice, 2002).”
- Evaluating the Long-Term Effects of Prisoner Reentry Services on Recidivism: What Types of Services Matter? (2016, background): “The exponential survival model is characterized by a constant hazard rate—in other words, the instantaneous likelihood of experiencing the event of interest (here, an arrest) is the same at every time t (Kalbfleisch & Prentice, 2002).”
- Evaluating the Predictive Validity of the Compas Risk and Needs Assessment System (2009, unknown): “We fitted separate cause-specific Cox proportional hazard models to each recidivism outcome (Kalbfleisch & Prentice, 2002).”
- Defining and Estimating Intervention Effects for Groups that will Develop an Auxiliary Outcome (2006, background): “We consider subjects who died of other causes as censored by a competing risk, although this is somewhat problematic (Kalbfleisch and Prentice, 2002).”