Results 31 to 40 of about 4,691,817 (292)

Goodness-of-fit criteria for survival data [PDF]

, 2004
The definition of an appropriate measure for goodness-of-fit in case of survival data comparable to R^2 in linear regression is difficult due to censored observations.
Müller, M.
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

The cost-effectiveness of nivolumab monotherapy for the treatment of advanced melanoma patients in England [PDF]

, 2018
Background: Nivolumab was the first programmed death receptor 1 (PD-1) immune checkpoint inhibitor to demonstrate long-term survival benefit in a clinical trial setting for advanced melanoma patients.
Ellis, John, Hertel, Nadine, Johnson, Helen, Lee, Dawn, Meng, Yang, Morais, Edith, Philips, Zoe, Roskell, Neil, Walker, Andrew   +8 more
core   +1 more source

The role of adjuvant chemotherapy for patients with resected pancreatic cancer: Systematic review of randomized controlled trials and meta-analysis [PDF]

, 2007
Background: In patients undergoing surgery for resectable pancreatic cancer prognosis still remains poor. The role of adjuvant treatment strategies (including chemotherapy and chemoradiotherapy) following resection of pancreatic cancer remains ...
Bakkevold KE, Berger AC, Blackstock AW, Cress RD, Donna Pauler Ankerst, Gastrointestinal Tumour Study Group, Hochster HS, Kalser MH, Khanna A, Knaebel HP, Kosuge T, Luttges J, Oettle H, Ozols RF, Peto R, Regine WF, Stefan Boeck, Volker Heinemann   +17 more
core   +1 more source

KMSubtraction: reconstruction of unreported subgroup survival data utilizing published Kaplan-Meier survival curves

BMC Medical Research Methodology, 2022
Background Data from certain subgroups of clinical interest may not be presented in primary manuscripts or conference abstract presentations. In an effort to enable secondary data analyses, we propose a workflow to retrieve unreported subgroup survival ...
Joseph J. Zhao, Nicholas L. Syn, Benjamin Kye Jyn Tan, Dominic Wei Ting Yap, Chong Boon Teo, Yiong Huak Chan, Raghav Sundar   +6 more
doaj   +1 more source

survextrap: a package for flexible and transparent survival extrapolation

BMC Medical Research Methodology, 2023
Background Health policy decisions are often informed by estimates of long-term survival based primarily on short-term data. A range of methods are available to include longer-term information, but there has previously been no comprehensive and ...
Christopher H. Jackson
doaj   +1 more source

90552 Evidence synthesis with reconstructed survival data

Journal of Clinical and Translational Science, 2021
IMPACT: A one-stage Bayesian multilevel model for meta-analysis integrating different survival data is introduced to complete the information synthesis without assuming proportional hazard.
Chenqi Fu, Shouhao Zhou, Nicholas Short, Xuelin Huang, Donald Berry, Farhad Ravandi-Kashani   +5 more
doaj   +1 more source

Time to Death and Its Predictor Among Outpatients With COPD: A Retrospective Cohort Study in Northwestern Ethiopia

Health Science Reports
Background and Aims Globally, chronic obstructive pulmonary disease (COPD) is one of the main causes of illness and death. Understanding the problem with respect to these factors is essential to finding a solution.
Yoseph Kassa, Anteneh Asmare Godana, Habtamu Geremew, Chalachew Gashu   +3 more
doaj   +1 more source

Semi-Competing Risks on A Trivariate Weibull Survival Model

, 2008
A setting of a trivairate survival function using semi-competing risks concept is proposed. The Stanford Heart Transplant data is reanalyzed using a trivariate Weibull distribution model with the proposed survival ...
Lee, Cheng K., Lee, Jenq-Daw
core   +3 more sources

A Bayesian geoadditive relative survival analysis of registry data on breast cancer mortality [PDF]

, 2006
In this paper we develop a so called relative survival analysis, that is used to model the excess risk of a certain subpopulation relative to the natural mortality risk, i.e. the base risk that is present in the whole population.
Held, Leonhard, Hennerfeind, Andrea
core   +1 more source