Sökning: "censoring"
Visar resultat 21 - 25 av 35 avhandlingar innehållade ordet censoring.
21. Estimation of hazard ratios from observational data with applications related to stroke
Sammanfattning : The objective of this thesis is to examine some challenges that may emerge when conducting time-to-event studies based on observational data. Time-to-event (also called survival) is a setting that involves analyzing how different factors may influence the length of time until an individual experiences the event of interest. LÄS MER
22. Essays on banking, credit and interest rates
Sammanfattning : This dissertation consists of four papers, each with an application of a discrete dependent variable model, censored regression or duration model to a credit market phenomenon or monetary policy question. The first three essays deal with bank lending policy, while the last one studies interest rate policy by Central Banks. LÄS MER
23. On efficient use of censored data and covariate factors in survival analysis and maintenance scheduling
Sammanfattning : This thesis deals with survival analysis and maintenance scheduling, two important issues to achieve efficient use of different production systems. In survival analysis of failure time data, the survival function and the cumulative hazard function are important reliability characteristics. LÄS MER
24. Essays on Firm Turnover, Growth, and Investment Behavior in Ethiopian Manufacturing
Sammanfattning : This thesis analyses the dynamics and investment behavior of Ethiopian manufacturing firms in post-reform period using establishment level industrial census panel data from 1996 to 2003. Three related topics such as firm turnover and productivity differentials, determinants of firm growth, and the effect of adjustment cost and irreversibility on firm investment decisions are investigated empirically. LÄS MER
25. Neural Network Approaches To Survival Analysis
Sammanfattning : Predicting the probable survival for a patient can be very challenging for many diseases. In many forms of cancer, the choice of treatment can be directly impacted by the estimated risk for the patient. This thesis explores different methods to predict the patient's survival chances using artificial neural networks (ANN). LÄS MER