multiple imputation in survival models: applied on breast cancer data
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Multiple Imputation in Survival Models: Applied on Breast Cancer Data
BACKGROUND Missing data is a common problem in cancer research. While simple methods such as completecase (C-C) analysis are commonly employed for handling this problem, several studies have shown that these methods led to biased estimates. We aim to address the methodological issues in development of a prognostic model with missing data. METHODS Three hundred and ten breast cancer patients w...
full textimpact of imputation of missing data on estimation of survival rates: an example in breast cancer
background: multifactorial regression models are frequently used in medicine to estimate survival rate of patients across risk groups. however, their results are not generalisable, if in the development of models assumptions required are not satisfied. missing data is a common problem in pathology. the aim of this paper is to address the danger of exclusion of cases with missing data, and to h...
full textPrediction of Breast Cancer Metastasis Using Fuzzy Models based on Data from Iranian Breast Cancer Patients
Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women. Diagnosing the breast cancer metastasis at the earliest stages helps to choose the best treatment and improve the quality of life for patients. Method: In the present fundamental r...
full textPrediction of Breast Cancer Metastasis Using Fuzzy Models based on Data from Iranian Breast Cancer Patients
Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women. Diagnosing the breast cancer metastasis at the earliest stages helps to choose the best treatment and improve the quality of life for patients. Method: In the present fundamental r...
full textcox models survival analysis based on breast cancer treatments
background: the aim of this study is to evaluate the association between different treatments and survival time of breast cancer patients using either standard cox model or stratified cox model. methods: the study was conducted on 15830 women diagnosed with breast cancer in british columbia, canada. they were divided into eight groups according to patients’ ages and stage of disease either cox...
full textA multiple imputation approach for clustered interval-censored survival data.
Multivariate interval-censored failure time data arise commonly in many studies of epidemiology and biomedicine. Analysis of these type of data is more challenging than the right-censored data. We propose a simple multiple imputation strategy to recover the order of occurrences based on the interval-censored event times using a conditional predictive distribution function derived from a paramet...
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Journal title:
iranian red crescent medical journalجلد ۱۳، شماره ۸، صفحات ۵۴۴-۵۴۹
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