p3state.msm: Analyzing Survival Data from an Illness-Death Model

survival analysis of breast cancer patients after surgery with an intermediate event: application of illness-death model

background: breast cancer (bc) is the second most commonly diagnosed cancer after lung cancer. survival of bc patients is affected by intermediate events. this study was aimed to investigate the disease course of primary non-metastatic bc patients with first recurrence of the tumor (frt) as the intermediate event using the illness- death model. methods: this retrospective cohort study was condu...

Progression of chronic kidney disease: an illness-death model approach

BACKGROUND Chronic kidney disease (CKD) is a major contributor to mortality in the general population. Understanding the factors that drive this process will help delay progression of CKD. The study aimed to estimate the risks of kidney failure and death prior to and after the development of kidney failure among patients with pre-existing CKD, and to identify potential prognostic factors. MET...

Analyzing Survival Data for Sequentially Randomized Designs

HIERARCHICAL DATA CLUSTERING MODEL FOR ANALYZING PASSENGERS’ TRIP IN HIGHWAYS

One of the most important issues in urban planning is developing sustainable public transportation. The basic condition for this purpose is analyzing current condition especially based on data. Data mining is a set of new techniques that are beyond statistical data analyzing. Clustering techniques is a subset of it that one of it’s techniques used for analyzing passengers’ trip. The result of...

Survival of Dialysis Patients Using Random Survival Forest Model in Low-Dimensional Data with Few-Events

Background:Dialysis is a process for eliminating extra uremic fluids of patients with chronic renal failure. The present study aimed to determine the variables that influence the survival of dialysis patients using random survival forest model (RSFM) in low-dimensional data with low events per variable (EPV). Methods:In this historical cohort study, infor...