Results 1 to 10 of about 4,691,718 (193)
Geographically weighted accelerated failure time model for spatial survival data: application to ovarian cancer survival data in New Jersey [PDF]
BMC Medical Research MethodologyBackground In large multiregional cohort studies, survival data is often collected at small geographical levels (such as counties) and aggregated at larger levels, leading to correlated patterns that are associated with location.
Jiaxin Cai +8 more
doaj +2 more sources
Assessing the Effect of Carcinoembryonic Antigen Tumor Marker Progression on Survival after Mastectomy in Patients With Breast Cancer: A Joint Survival Longitudinal Approach [PDF]
Disease and Diagnosis, 2020 Background: Breast cancer remains the most prevalent neoplasm in women, with more than 450000 deaths each year, worldwide. In cancer researches, several factors such as serum tumor markers have an important role in screening, treatment, and recurrence of
Amal Saki Malehi +5 more
doaj +1 more source
Barekeng, 2023 Breast cancer is the most common cancer in women and the leading cause of cancer-related death in Indonesia. Analysis of survival data is important for improving the treatment and care of breast cancer patients. This study aims to estimate the parameters,
Ardi Kurniawan +2 more
doaj +1 more source
How to use χ2 test correctly——the log-rank test and the implementation of SAS software
Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the log-rank test and the SAS implementation. There were many different expression forms for the test statistics of the log-rank tests.
Hu Chunyan, Hu Liangping
doaj +1 more source
Bayesian Joint Modeling Analysis of Longitudinal Proportional and Survival Data
Mathematics, 2023 This paper focuses on a joint model to analyze longitudinal proportional and survival data. We utilize a logit transformation on the longitudinal proportional data and employ a partially linear mixed-effect model. With this model, we estimate the unknown
Wenting Liu +3 more
doaj +1 more source
Survival trees for interval‐censored survival data [PDF]
Statistics in Medicine, 2017 Interval‐censored data, in which the event time is only known to lie in some time interval, arise commonly in practice, for example, in a medical study in which patients visit clinics or hospitals at prescheduled times and the events of interest occur between visits.
Wei Fu, Jeffrey S. Simonoff
openaire +3 more sources
Journal of Statistical Software, 2023 Recurrent event analyses have found a wide range of applications in biomedicine, public health, and engineering, among others, where study subjects may experience a sequence of event of interest during follow-up.
Sy Han Chiou +3 more
doaj +1 more source
Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the likelihood ratio test， six nonparametric tests， and the SAS implementation of the survival data. Based on the assumption that the survival data had the exponential distribution， the likelihood ratio test ...
Hu Chunyan, Hu Liangping
doaj +1 more source
Frontiers in Public Health, 2020 As multifactorial and chronic diseases, cancers are among these pathologies for which the exposome concept is essential to gain more insight into the associated etiology and, ultimately, lead to better primary prevention strategies for public health ...
Marion Belloni +3 more
doaj +1 more source
Frontiers in Surgery, 2022 BackgroundBevacizumab (BEV) plus chemotherapy as a neoadjuvant regimen presents good efficacy in patients with locally advanced cancer. However, its role in patients with locally advanced gastric cancer (LAGC) is not clear.
Deguo Yu +3 more
doaj +1 more source