Search

In biomedical research, the simultaneous inference of multiple binary endpoints may be of interest. In such cases, an appropriate multiplicity adjustment is required that controls the family‐wise error rate, which represents the probability of making incorrect test decisions. In this paper, we investigate two approaches that perform single‐step p$p$‐value adjustments that also take into account the possible correlation between endpoints. A rather novel and flexible approach known as multiple marginal models is considered, which is based on stacking of the parameter estimates of the marginal models and deriving their joint asymptotic distribution. We also investigate a nonparametric vector‐based resampling approach, and we compare both approaches with the Bonferroni method by examining the family‐wise error rate and power for different parameter settings, including low proportions and small sample sizes. The results show that the resampling‐based approach consistently outperforms the other methods in terms of power, while still controlling the family‐wise error rate. The multiple marginal models approach, on the other hand, shows a more conservative behavior. However, it offers more versatility in application, allowing for more complex models or straightforward computation of simultaneous confidence intervals. The practical application of the methods is demonstrated using a toxicological dataset from the National Toxicology Program. [ABSTRACT FROM AUTHOR]

One of the most important medical interventions for individuals with heart valvular disease is heart valve replacement, which is not without substantial challenges, particularly for pediatric patients. Due to their biological properties and biocompatibility, natural tissue-originated scaffolds derived from human or animal sources are one type of scaffold that is widely used in tissue engineering. However, they are known for their high potential for immunogenicity. Being free of cells and genetic material, decellularized xenografts, consequently, have low immunogenicity and, thus, are expected to be tolerated by the recipient's immune system. The scaffold ultrastructure and ECM composition can be affected by cell removal agents. Therefore, applying an appropriate method that preserves intact the structure of the ECM plays a critical role in the final result. So far, there has not been an effective decellularization technique that preserves the integrity of the heart valve's ultrastructure while securing the least amount of genetic material left. This study demonstrates a new protocol with untraceable cells and residual DNA, thereby maximally reducing any chance of immunogenicity. The mechanical and biochemical properties of the ECM resemble those of native heart valves. Results from this study strongly indicate that different critical factors, such as ionic detergent omission, the substitution of Triton X-100 with Tergitol, and using a lower concentration of trypsin and a higher concentration of DNase and RNase, play a significant role in maintaining intact the ultrastructure and function of the ECM. [ABSTRACT FROM AUTHOR]

Copyright of Züchtungskunde is the property of Verlag Eugen Ulmer and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Septoria tritici blotch (STB), caused by the fungus Zymoseptoria tritici Desm., is the most important disease affecting wheat in Northern Europe. There is a strong correlation between STB and weather variables; therefore, research on climate change and epidemiology is essential. In a long-term survey across 25 years, we evaluated the epidemiological development of STB at a representative location under maritime climatic conditions. The surveys conducted between 1996 and 2021 showed an increase in disease severity of STB with respect to time. At the survey location, the plants were also evaluated for other diseases, but other foliar diseases were only observed with negligible severities. However, a continuous increase in the severity of STB was observed throughout the survey. During the survey period, there was no significant relationship between disease severity and single weather parameters (e.g., temperature and precipitation). However, seasonal changes in the progression of conducive STB conditions within the season were observed during the survey. Therefore, STB infections occurred at increased temperatures due to infections later during the growth season. In general, the distribution of conducive weather conditions, which supports an infection, determines the epidemiological behaviour of STB during the growing season. Due to these enhanced STB epidemics, a decline in wheat production has been observed, especially in agronomic practices of maritime climates. This is particularly the case if temperature and precipitation during the growing season are affected by climate change. [ABSTRACT FROM AUTHOR]