- Medline ® Abstracts for References 61|72 of 'COVID|19 ...🔍
- Disentangling the relationship between cancer mortality and COVID ...🔍
- Mortality after second malignancy in breast cancer survivors ...🔍
- Breast Cancer Mortality Rates Have Stopped Declining in U.S. ...🔍
- A Bayesian Model for Age🔍
- Integration of Lifetime Survival With Repeated Quality|of🔍
- Cancer survival methodology🔍
- Risk factors analysis for mortality among a cohort of lung cancer ...🔍
Biostatistical analysis of mortality data for cohorts of cancer patients
Medline ® Abstracts for References 61-72 of 'COVID-19 ...
... cohort study. AU ... This conjecture has considerable effect on the treatment of patients with cancer and data ... mortality rates for patients with cancer.
Disentangling the relationship between cancer mortality and COVID ...
We chose these specific cancers to illustrate conditions for which the 5-year survival rate is low (13% and 25%, respectively, for pancreatic ...
Mortality after second malignancy in breast cancer survivors ... - Nature
A cohort study was conducted among 63,424 US women using the Surveillance, Epidemiology, and End Results 18 database (2000–2016) to compare ...
Breast Cancer Mortality Rates Have Stopped Declining in U.S. ...
Joinpoint analysis determines the optimal number of joinpoints and an APC for each straight-line best-fit segment. It also tests the statistical ...
A Bayesian Model for Age, Period, and Cohort Effects on Mortality ...
9), and treatment-specific 1- and 2-year case– fatality rates were calculated. Staging information was not available in the National Cancer Registry by the end ...
Integration of Lifetime Survival With Repeated Quality-of
In the real data analysis, we used only a sample of oral cancer patients from a medical center in southern Taiwan to es- timate the QALE of the oral cancer ...
As the global population grows larger and older, the number of cancer cases has also increased. However, the age-standardized death rate from cancer has ...
Cancer survival methodology - GOV.UK
To show only the effect of cancer deaths on patient survival, adult survival estimates are net survival estimates. Net survival is an unbiased ...
Risk factors analysis for mortality among a cohort of lung cancer ...
Conclusion: Age more than 60, performance status ≥ 2 and stage III and IV were found as significant independent factors linked with raised mortality rate.
cancer mortality, and total mortality: a prospective cohort study. Am. J Clin ... cancer patients rides to treatment, and give one-on-one support to ...
Mortality in the United States, 2021 - CDC
... death were analyzed by comparing 2021 and 2020 final data (1). ... Heart disease was the leading cause of death, followed by cancer and COVID-19.
Nomogram model for predicting cancer-specific mortality in patients ...
... analysis insight from the SEER database and an external validation cohort. ... patients with colorectal cancer: a cohort study. Am J Clin ...
Mortality due to breast cancer in a region of high socioeconomic ...
In all of the locations, there was a progressive increase in mortality rates in individuals over 40 years of age, with higher rates in the last five-year period ...
Global incidence and mortality of breast cancer: a trend analysis
... mortality data from the Global Cancer Observatory up to ... treatment can greatly increase the survival rate and life expectancy of bread cancer patients.
COVID-19 Diagnosis and Risk of Death Among Adults With Cancer ...
Methods: We conducted a retrospective cohort study of newly diagnosed adults with cancer between January 1, 2019, and December 31, 2020, using ...
Global Burden of Female Breast Cancer: Age-Period-Cohort ...
YL, XD, WL, BW, and DX analyzed the data and performed the statistical analyses. ... A Web Tool for Age-Period-Cohort Analysis of Cancer Incidence and Mortality ...
A nomogram for predicting mortality in patients with COVID-19 and ...
Background Individualized prediction of mortality risk can inform the treatment strategy for patients with COVID-19 and solid tumors and potentially improve ...
Detecting a Local Cohort Effect for Cancer Mortality Data ... - J-Stage
Past descriptive epidemiologic studies suggest that the cohort effect is not negligible in cancer mortality. Methods: In this paper, we develop a statistical ...
Ovarian cancer disease burden decreased in the United... - Medicine
Age-period-cohort analysis can explore age, period, and cohort effects from observed age-specific mortality data, and can provide useful ...
Our calculations explained - Cancer Research UK
These models were fitted to observed cancer incidence and mortality rates, with parameters for each of these age, period and cohort effects. The model fitted to ...