Results 311 to 320 of about 28,159,239 (344)

Cross-Modal Translation and Alignment for Survival Analysis

IEEE International Conference on Computer Vision, 2023
With the rapid advances in high-throughput sequencing technologies, the focus of survival analysis has shifted from examining clinical indicators to incorporating genomic profiles with pathological images.
F. Zhou, Hao Chen
semanticscholar   +1 more source

Optimizing Survival Analysis of XGBoost for Ties to Predict Disease Progression of Breast Cancer

IEEE Transactions on Biomedical Engineering, 2020
Objective: Some excellent prognostic models based on survival analysis methods for breast cancer have been proposed and extensively validated, which provide an essential means for clinical diagnosis and treatment to improve patient survival.
Pei Liu, Bo Fu, Simon X. Yang, Ling Deng, X. Zhong, Hong Zheng   +5 more
semanticscholar   +1 more source

SPSS Survival Manual

, 2020
Click on the arrow button to move the variable name into Chapter 4 Creating a data file and entering data 39 Step 2: Enter the data Spss survival. The SPSS Survival Manual throws a lifeline to students and researchers grappling with this data analysis ...
J. Pallant
semanticscholar   +1 more source

Survival Effect of Maximal Cytoreductive Surgery for Advanced Ovarian Carcinoma During the Platinum Era: A Meta-Analysis.

Journal of Clinical Oncology, 2023
PURPOSE To evaluate the relative effect of percent maximal cytoreductive surgery and other prognostic variables on survival among cohorts of patients with advanced-stage ovarian carcinoma treated with platinum-based chemotherapy.
R. Bristow, Rafael S. Tomacruz, D. Armstrong, E. Trimble, F. Montz   +4 more
semanticscholar   +1 more source

Machine Learning for Survival Analysis

ACM Computing Surveys, 2019
Survival analysis is a subfield of statistics where the goal is to analyze and model data where the outcome is the time until an event of interest occurs. One of the main challenges in this context is the presence of instances whose event outcomes become
Ping Wang, Yan Li, Chandan K. Reddy
semanticscholar   +1 more source

Applied Survival Analysis: Regression Modeling of Time-to-Event Data

, 2008
THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATANOW IN A VALUABLE NEW EDITION Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of ...
D. Hosmer, S. Lemeshow, S. May
semanticscholar   +1 more source

Survival analysis

Epidemiology with R, 2020
This chapter describes survival analysis. Survival analysis concerns data where the outcome is a length of time, namely the time from inclusion in the study (such as diagnosis of some disease) till death or some other event — hence the term 'time to ...
Bendix Carstensen
semanticscholar   +1 more source

Understanding survival analysis: actuarial life tables and the Kaplan-Meier plot.

British journal of hospital medicine, 2019
Survival analysis is a set of methods used to study the time between enrollment in a study and the occurrence of an event of interest. Two methods are commonly used: actuarial life tables and the Kaplan-Meier approach for survival analysis.
A. Barakat, A. Mittal, D. Ricketts, B. Rogers   +3 more
semanticscholar   +1 more source

Survival Analysis of Glioblastoma Multiforme

Asian Pacific Journal of Cancer Prevention, 2018
Introduction: To evaluate the survival of Glioblastoma Multiforme (GBM). Material and Methods: Patients with a pathological diagnosis of Glioblastoma Multiforme (GBM) between 1 January 1994 and 30 November 2013, were retrospectively reviewed.
Supapan Witthayanuwat, M. Pesee, Chunsri Supaadirek, Narudom Supakalin, Komsan Thamronganantasakul, Srichai Krusun   +5 more
semanticscholar   +1 more source

Survival Analysis

Social Science Research Network, 2023
Eyal Ronen
semanticscholar   +1 more source