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Indian Journal of Community Medicine, 2021 Background: The Government of India initiated different programs to reduce neonatal mortality. However, the variability of neonatal deaths occurs among states of India. Objective: This study aimed to identify the differential determinants associated with
Kamalesh Kumar Patel, Mukesh Kumar
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Generating Survival Times to Simulate Cox Proportional Hazards Models [PDF]
, 2003 This paper discusses techniques to generate survival times for simulation studies regarding Cox proportional hazards models. In linear regression models, the response variable is directly connected with the considered covariates, the regression ...
Augustin, Thomas +2 more
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Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression
BMC Bioinformatics, 2021 Background Important objectives in cancer research are the prediction of a patient’s risk based on molecular measurements such as gene expression data and the identification of new prognostic biomarkers (e.g. genes).
Katrin Madjar +3 more
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DesA Prognostic Risk Model of LncRNAs in Patients With Acute Myeloid Leukaemia Based on TCGA Data
Frontiers in Bioengineering and Biotechnology, 2022 Purpose: This study aimed to combine the clinical data of acute myeloid leukaemia (AML) from The Cancer Genome Atlas (TCGA) database to obtain prognosis-related biomarkers, construct a prognostic risk model using long non-coding RNAs (lncRNAs) in AML and
Weidong Ding +3 more
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Sexual frequency is associated with age of natural menopause: results from the Study of Women's Health Across the Nation [PDF]
Royal Society Open Science, 2020 It is often observed that married women have a later age of natural menopause (ANM) than unmarried women; however, the reason for this association is unknown. We test an original hypothesis that sexual frequency acts as a bio-behavioural mediator between
Megan Arnot, Ruth Mace
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Weighted Cox Regression Using the R Package coxphw
Journal of Statistical Software, 2018 Cox's regression model for the analysis of survival data relies on the proportional hazards assumption. However, this assumption is often violated in practice and as a consequence the average relative risk may be under- or overestimated.
Daniela Dunkler +3 more
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Censoring Balancing Functions for Undetected Probably Significant Effects in Cox Regression
International Journal of Mathematics and Mathematical Sciences, 2023 Weighted Cox regression models were proposed as an alternative to the standard Cox proportional hazards models where consistent estimators can be obtained with more relative strength compared to unweighted cases. We proposed censoring balancing functions
Ildephonse Nizeyimana +3 more
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Testing and interpreting assumptions of COX regression analysis
Cancer Research, Statistics, and Treatment, 2019 The COX regression analysis is like any statistical test that is based on multiple assumptions. This is a guide for how to test the assumptions and how to interpret the results.
Sampada Dessai, Vijay Patil
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Shanghai yufang yixue, 2022 ObjectiveTo analyze the effect of frailty status on the risk of mortality in a community-based population aged 45 years and above in Shanghai with different characteristics， and to provide further basis for population-based interventions for frailty and ...
SUN Shuangyuan +7 more
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Probabilistic methods for seasonal forecasting in a changing climate: Cox-type regression models [PDF]
, 2010 For climate risk management, cumulative distribution functions (CDFs) are an important source of information. They are ideally suited to compare probabilistic forecasts of primary (e.g. rainfall) or secondary data (e.g. crop yields).
Maia, A.H.N., Meinke, H.B.
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