Assessment of survival prediction models based on microarray data

Assessment of survival prediction models based on microarray data

MOTIVATION In the process of developing risk prediction models, various steps of model building and model selection are involved. If this process is not adequately controlled, overfitting may result in serious overoptimism leading to potentially erroneous conclusions. METHODS For right censored time-to-event data, we estimate the prediction error for assessing the performance of a risk predic...

Prediction 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...

Prediction 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...

cDNA Microarray Data Normalization

Assessment of performance of survival prediction models for cancer prognosis

BACKGROUND Cancer survival studies are commonly analyzed using survival-time prediction models for cancer prognosis. A number of different performance metrics are used to ascertain the concordance between the predicted risk score of each patient and the actual survival time, but these metrics can sometimes conflict. Alternatively, patients are sometimes divided into two classes according to a s...