Sökning: "Repeated measures"

Visar resultat 1 - 5 av 165 avhandlingar innehållade orden Repeated measures.

1. 1. Recollection of Repeated Events : Difficulties and Possibilities

   Författare :Rebecca M. Willén; Pär Anders Granhag; Leif Strömwall; Anna Stigsdotter Neely; Göteborgs universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Psychology; Psykologi; Repeated events; Investigative interviewing; Mnemonics; Memory specificity;

   Sammanfattning : Survey based research about self-reported incidents and legal investigations concerning sexual abuse, terrorism, and refugee status determination often involves reporting about self-experienced events that are similar to each other and has occurred repeatedly. Such repeated events tend to be recalled in a general manner and as a cluster of events. LÄS MER

3. 2. Small Area Estimation for Multivariate Repeated Measures Data

   Författare :Innocent Ngaruye; Dietrich von Rosen; Martin Singull; Timo Schmid; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : This thesis considers Small Area Estimation with a main focus on estimation and prediction theory for repeated measures data. The demand for small area statistics is for both cross-sectional and repeated measures data. LÄS MER

4. 3. Searching for causal effects of road traffic safety interventions : applications of the interrupted time series design

   Författare :Carl Bonander; Ragnar Andersson; Finn Nilson; Claes Tingvall; Karlstads universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Causal inference; Repeated measures; Methodology; Econometrics; Injury Epidemiology; Vulnerable Road Users; Time series analysis; Risk- och Miljöstudier; Risk and Environmental Studies;

   Sammanfattning : Traffic-related injuries represent a global public health problem, and contribute largely to mortality and years lived with disability worldwide. Over the course of the last decades, improvements to road traffic safety and injury surveillance systems have resulted in a shift in focus from the prevention of motor vehicle accidents to the control of injury events involving vulnerable road users (VRUs), such as cyclists and moped riders. LÄS MER

5. 4. Nonlinear Quantile Regression for Longitudinal Data

   Författare :Andreas Karlsson; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; bootstrap; dependent errors; median regression; Monte Carlo simulation; panel data; repeated measures; Statistics; Statistik; Biostatistics; Biostatistik;

   Sammanfattning : The overall objective of the two papers in this thesis is to examine the properties of the weighted nonlinear quantile regression estimator for the analysis of longitudinal data. To this end, the question of which weights to be used, the bias of the estimator and the possibility to calculate confidence intervals has to be examined. LÄS MER

7. 5. Pharmacometric Investigations of Prediction Precision and Advances of Models for Composite Scale Data

   Författare :Gustaf Wellhagen; Maria C. Kjellsson; Bengt Hamrén; Per Olsson Gisleskog; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; pharmacometrics; modelling; non-linear mixed effects modelling; composite scale data; total score data; total score analysis; precision prediction; bounded integer; bounded integer model; IRT-informed total score analysis; item response theory-informed; mixed models for repeated measures; MMRM; dose-response; dose-response mixed models for repeated measures; DR-MMRM; HbA1c models; fit-for-purpose analysis; clinical trial analysis; Farmaceutisk vetenskap; Pharmaceutical Science;

   Sammanfattning : Clinical trials are needed to evaluate new treatments. In late-stage clinical trials, failures are mostly due to lack of efficacy. Fit-for-purpose analysis methods will likely increase the success rates and advance drug development by providing higher precision to support decisions such as go/no-go, dose selection, or sample size. LÄS MER