A5060735100- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Fuzzy Systems and Optimization
- Probabilistic and Robust Engineering Design
- Optimal Experimental Design Methods
- Statistical Methods in Clinical Trials
- Viral Infections and Vectors
- Vector-borne infectious diseases
- Advanced Statistical Process Monitoring
- Chronic Disease Management Strategies
- Mosquito-borne diseases and control
- Emergency and Acute Care Studies
- Hepatitis C virus research
- Blood donation and transfusion practices
- Avian ecology and behavior
- Ecology and Vegetation Dynamics Studies
- Hepatitis B Virus Studies
- Electronic Health Records Systems
- Wildlife Ecology and Conservation
- Healthcare cost, quality, practices
- Multi-Criteria Decision Making
- Survey Sampling and Estimation Techniques
- Hemodynamic Monitoring and Therapy
- Reliability and Agreement in Measurement
- Advanced Statistical Modeling Techniques
University of Bern
2010-2025
Institute of Mathematical Statistics
2024
Tick-borne encephalitis virus (TBEV) infection can manifest as disease of variable severity, ranging from subclinical to severe with neurological involvement and potentially fatal outcome. Although TBE is recognized a major public health problem in Europe, the true burden underestimated. Here, we investigated TBEV-specific antibody prevalence, incidence, seroreversion decline rates prospective Swiss healthcare worker (HCW) cohort. We screened serum samples 1444 HCWs between June October...
Disease morbidity of tick-borne encephalitis (TBE) has been increasing over the last decades. Since 1990s, however, no extensive seroprevalence studies on TBE in humans have performed Switzerland. Here we assessed prevalence anti-TBE virus (TBEV) antibodies among different groups Swiss blood donor population.The study was carried out from July 2014 to January 2015. Blood donors participating (n=9,328) were asked fill a questionnaire relating vaccination against or infection with...
During the last few decades, efforts to increase safety of blood and products have mainly focused on preventing viral infections HCV, HIV, HBV Treponema pallidum. The evolution these approaches achieved in is shown for 25 years Switzerland. In detail, prevalences incidences infection disease theoretical estimated residual risks (RR) blood-borne are presented. Prevalences, and, particular, RR decreased considerably over years. This was primarily by adoption strict criteria selection donors,...
Capsule The division coefficient is an estimate of the proportion ringed birds migrating to different destination areas taking into account area‐specific re‐encounter probabilities. Aims To explore precision and bias method by a simulation study compare approach with multi‐state models. Methods In true estimated coefficients were compared. was mathematically compared model. Results seemed be unbiased if assumptions met. decreased bird distribution became similar in both groups when...
Background Symptom-checkers have become important tools for self-triage, assisting patients to determine the urgency of medical care. To be safe and effective, these must validated, particularly avoid potentially hazardous undertriage without leading inefficient overtriage. Only limited safety data from studies including small sample sizes been available so far. Objective The objective our study was prospectively investigate patients’ self-triage in a large patient sample. We used SMASS...
AbstractMany techniques based on data which are drawn by Ranked Set Sampling (RSS) scheme assume that the ranking of observations is perfect. Therefore it essential to develop some methods for testing this assumption. In article, we propose a parametric location-scale free test assessing assumption perfect ranking. The results simulation study in two special cases normal and exponential distributions indicate proposed performs well comparison with its leading competitors.Keywords: set...
Several intervals have been proposed to quantify the agreement of two methods intended measure same quantity in situation where only one measurement per method and subject is available. The limits are probably most well-known among these intervals, which all based on differences between methods. different meanings not always properly recognized applications. However, at least for small-to-moderate sample sizes, will be substantial. This illustrated both using width probabilistic scales...
In this note, we show that an extension of a test for perfect ranking in balanced ranked set sample given by Li and Balakrishnan (2008 , T. N. ( 2008 ). Some simple nonparametric methods to sampling . J. Statist. Plann. Infer. 138 : 1325 – 1338 .[Crossref], [Web Science ®] [Google Scholar]) the multi-cycle case turns out be equivalent statistic proposed Frey et al. (2007 Ozturk O. Deshpande V. 2007 Nonparametric tests judgment rankings Amer. Assoc. 102 708 717 .[Taylor & Francis Online],...
In this article, we develop nonparametric prediction intervals based on generalized ranked set samples using conditional as well unconditional approaches. The predictions are developed for order statistics from a future sample balanced sample. effects of ranking errors the coverage probabilities these also examined.
<sec> <title>BACKGROUND</title> Symptom-checkers have become important tools for self-triage, assisting patients to determine the urgency of medical care. To be safe and effective, these must validated, particularly avoid potentially hazardous undertriage without leading inefficient overtriage. Only limited safety data from studies including small sample sizes been available so far. </sec> <title>OBJECTIVE</title> The objective our study was prospectively investigate patients’ self-triage in...
We develop parametric and location-scale free tests of perfect judgment ranking based on ordered ranked set samples. The are the differences between elements samples those original compare our proposed with best existing in literature by using Monte Carlo simulation. Our simulation results show that behave favorably comparison their leading competitors, especially under fraction neighbor rankings model. In to nonparametric have advantage not needing randomization attain a specific size.