Results 21 to 30 of about 2,431,681 (314)

Attributable fractions with survival data [PDF]

Statistics in Medicine, 2007
AbstractAttributable fraction (AF) is an important concept in clinical and epidemiological studies. The concept has mainly been discussed in relation to case–control studies, cross‐sectional studies, and follow‐up studies of fixed length. Here, we propose and discuss several ways of defining and estimating AFs with right‐censored survival data, and ...
Sven Ove, Samuelsen, Geir Egil, Eide
openaire   +2 more sources

What Do the First 597 Global Fungal Red List Assessments Tell Us about the Threat Status of Fungi?

Diversity, 2022
Fungal species are not immune to the threats facing animals and plants and are thus also prone to extinction. Yet, until 2015, fungi were nearly absent on the IUCN Red List.
Gregory M. Mueller, Kelmer Martins Cunha, Tom W. May, Jessica L. Allen, James R. S. Westrip, Cátia Canteiro, Diogo Henrique Costa-Rezende, Elisandro Ricardo Drechsler-Santos, Aída M. Vasco-Palacios, Antony Martyn Ainsworth, Genivaldo Alves-Silva, Frank Bungartz, Amanda Chandler, Susana C. Gonçalves, Irmgard Krisai-Greilhuber, Reda Iršėnaitė, John Bjarne Jordal, Thiago Kosmann, James Lendemer, Richard Troy McMullin, Armin Mešić, Viviana Motato-Vásquez, Yoshihito Ohmura, Rikke Reese Næsborg, Claudia Perini, Irja Saar, Diego Simijaca, Rebecca Yahr, Anders Dahlberg   +28 more
doaj   +1 more source

%JM: A SAS Macro to Fit Jointly Generalized Mixed Models for Longitudinal Data and Time-to-Event Responses

Journal of Statistical Software, 2018
In clinical research subjects are usually observed during a period of time. Primary and secondary endpoints are often either responses measured longitudinally over time or the time at which an event of interest occurs.
Alberto Garcia-Hernandez, Dimitris Rizopoulos   +1 more
doaj   +1 more source

Deep Learning-Based Survival Analysis for High-Dimensional Survival Data

Mathematics, 2021
With the development of high-throughput technologies, more and more high-dimensional or ultra-high-dimensional genomic data are being generated. Therefore, effectively analyzing such data has become a significant challenge.
Lin Hao, Juncheol Kim, Sookhee Kwon, Il Do Ha   +3 more
doaj   +1 more source

A novel nonparametric measure of explained variation for survival data with an easy graphical interpretation

GMS German Medical Science, 2015
Introduction: For survival data the coefficient of determination cannot be used to describe how good a model fits to the data. Therefore, several measures of explained variation for survival data have been proposed in recent years.Methods: We analyse an ...
Weiß, Verena, Schmidt, Matthias, Hellmich, Martin   +2 more
doaj   +1 more source

Copula Functions for Spatial Survival Data Analysis [PDF]

Journal of Sciences, Islamic Republic of Iran, 2023
Many survival data analyses aim to assess the effect of different risk factors on survival time‎. ‎In some studies‎, ‎the survival times are correlated‎, ‎and the dependence between survival times is related to their spatial locations‎.
Mohsen Mohammadzadeh, Nasrin Ebrahimi, Giuliana Cortese   +2 more
doaj   +1 more source

COMPARATIVE STUDY OF SURVIVAL SUPPORT VECTOR MACHINE AND RANDOM SURVIVAL FOREST IN SURVIVAL DATA

Barekeng, 2023
Survival analysis is a statistical procedure in analyzing data with the response variable is time until an event occurs (time-to-event). In the last few years, many classification approaches have been developed in machine learning, but only a few ...
Ni Gusti Ayu Putu Puteri Suantari, Anwar Fitrianto, Bagus Sartono   +2 more
doaj   +1 more source

PCN89 Constructing Comparator Survival DATA: Simulated Versus Individual Patient DATA

, 2020
Objectives: It is often not feasible to run controlled trials in oncology, especially for rare cancers or in heavily pre-treated patient populations.
Kim, H, Cook, G, Liew, D, Goodall, S
core   +1 more source

Survival data

, 2018
Survival data for each replicate cup in each temperature and experimental ...
Thomas, Matthew B., Matthew B. Thomas (207703), Whitehead, Shelley A., Shapiro, Lillian L. M., Lillian L. M. Shapiro (3283446), Shelley A. Whitehead (4514944)   +5 more
core   +2 more sources

Failure-Time with Delayed Onset

Revstat Statistical Journal, 2015
A special distribution is suggested for the analysis of survival data in which there is a long random delay before the onset of the terminal process. Estimation by the method of moments and by maximum likelihood is compared.
Man Yu Wong , D.R. Cox
doaj   +1 more source