Sökning: "time-to-event"

Visar resultat 6 - 10 av 23 avhandlingar innehållade ordet time-to-event.

1. 6. Pharmacometric Methods and Novel Models for Discrete Data

   Författare :Elodie L Plan; Mats O Karlsson; Laura Sargentini-Maier; Armel Stockis; Christian Laveille; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; pharmacodynamics; disease progression; modelling; discrete data; count; ordered categorical; repeated time-to-event; RTTCE; RCEpT; NONMEM; FOCE; LAPLACE; SAEM; AGQ; pain scores; epilepsy seizures; gastroesophageal symptoms; statistical power; simulations; diagnostics; PHARMACY; FARMACI; Pharmacokinetics and Drug Therapy; Farmakokinetik och läkemedelsterapi;

   Sammanfattning : Pharmacodynamic processes and disease progression are increasingly characterized with pharmacometric models. However, modelling options for discrete-type responses remain limited, although these response variables are commonly encountered clinical endpoints. Types of data defined as discrete data are generally ordinal, e.g. LÄS MER

3. 7. Benefits of Pharmacometric Model-Based Design and Analysis of Clinical Trials

   Författare :Kristin E Karlsson; E Niclas Jonsson; Mats O Karlsson; Anders Grahnén; Michael K Smith; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; model-based analysis; pharmacometrics; modeling; disease progression; NONMEM; SAEM; Importance sampling; repeated time-to-event; RTTCE; RCEpT; NIH stroke scale; Barthel index; internal validation; external validation; study power; study design; PHARMACY; FARMACI; Pharmacokinetics and Drug Therapy; Farmakokinetik och läkemedelsterapi;

   Sammanfattning : Quantitative pharmacokinetic-pharmacodynamic and disease progression models are the core of the science of pharmacometrics which has been identified as one of the strategies that can make drug development more effective. To adequately develop and utilize these models one needs to carefully consider the nature of the data, choice of appropriate estimation methods, model evaluation strategies, and, most importantly, the intended use of the model. LÄS MER

4. 8. Multiple Time Scales and Longitudinal Measurements in Event History Analysis

   Författare :Danardono; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistics; Cox regression; multiple events; proportiona hazards; random effects; survival analysis; time-dependent covariates; time origin; Statistik; Statistics; Statistik; Statistics; statistik;

   Sammanfattning : A general time-to-event data analysis known as event history analysis is considered. The focus is on the analysis of time-to-event data using Cox's regression model when the time to the event may be measured from different origins giving several observable time scales and when longitudinal measurements are involved. LÄS MER

5. 9. Generalized survival models as a tool for medical research

   Författare :Xingrong Liu; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :;

   Sammanfattning : In medical research, many studies with the time-to-event outcomes investigate the effect of an exposure (or treatment) on patients’ survival. For the analysis of time-to-event or survival data, model-based approaches have been commonly applied. LÄS MER

7. 10. Estimation of hazard ratios from observational data with applications related to stroke

   Författare :Guilherme Barros; Jenny Häggström; Marie Eriksson; Daniel Nevo; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; survival analysis; causal inference; hazard ratios; marginal hazard ratio; stroke; balancing; Statistics; statistik;

   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