Point Estimation on Relative Risk under Inverse Sampling

When the underlying disease is rare, to control the coefficient of variation for the sample proportion of cases, we may wish to apply inverse sampling. In this paper, we derive the uniformly minimum variance unbiased estimator (UMVUE) of relative risk and its variance in closed form under inverse sampling. On the basis of a Monte Carlo simulation, we demonstrate that using the UMVUE of relative risk can substantially reduce the mean-squared-error of using the maximum likelihood estimator, especially when the number of index cases in both comparison samples is small. For a given fixed total cost, we include a program that can be used to find the optimal allocation for the number of index cases to minimize the variance of the UMVUE as well.     

Binary regression: Total gain in positive and negative predictive values

Models that predict disease incidence or disease recurrence are attractive for clinicians as well as for patients. The usefulness of a risk prediction model is linked to the two questions whether the observed outcome is confirmed by the prediction and whether the risk prediction is accurate in predicting the future outcome, respectively. The first phrasing of the question is linked to considering sensitivity and specificity and the latter to the positive and negative predictive values. We present the measures of standardized total gain in positive and negative predictive values dealing with the performance or accuracy of the prediction model for a binary outcome. Both measures provide a useful tool for assessing the performance or accuracy of a set of predictor variables for the prediction of a binary outcome. This concept is a tool for evaluating the optimal prediction model in future research.     

Antagonistic interactions between odorants alter human odor perception

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Utilization of 3-ethyl-1(N,N-dimethyl)aminopropylcarbodiimide (EDCI)/1-hydroxybenzotriazole (HOBt) as a polymerizing agent

Summary The commonly used coupling reagents in peptide syntheses such as dicyclohexylcabodiimide, diisopropyl-carbodiimide and 3-ethyl-1(N,N-dimethyl)aminopropylcarbodiimide with or without 1-hydroxybenzotriazole or N-hydroxysuccinimide have been used as polymerizing agents in the synthesis of elastic/plastic protein-based polymers. It was found that 3-ethyl-1(N,N-dimethyl)aminopropylcarbodiimide with 1-hydroxybenzotriazole gave equally good polymers comparable to conventionalp-nitrophenol approach. Further, we present here the polymerization and characterization of structural and functional properties of poly(Val-Pro-Gly-Val-Gly), which is the most striking repeating sequence in the bovine and porcine elastins. The polymers obtained by bothp-nitrophenol and 3-ethyl-1(N,N-dimethyl)aminopropylcarbodiimide approach were characterized by carbon-13 and proton nuclear magnetic resonance spectroscopy, differential scanning calorimetry, circular dichroism and fourier transform infrared spectroscopy. These results conclude that poly(Val-Pro-Gly-Val-Gly) obtained by both methods were identical in all respects of physical and chemical properties indicates that 3-ethyl-1(N,N-dimethyl)aminopropylcarbodiimide with 1-hydroxybenzotriazole method can be conveniently employed to synthesize these polymers.     

Thermo-optic measurements and their inter-dependencies for delineating cancerous breast biopsy tissue from adjacent normal

The histopathological diagnosis of cancer is the current gold standard to differentiate normal from cancerous tissues. We propose a portable platform prototype to characterize the tissue's thermal and optical properties, and their inter-dependencies to potentially aid the pathologist in making an informed decision. The measurements were performed on 10 samples from five subjects, where the cancerous and adjacent normal were extracted from the same patient. It was observed that thermal conductivity (k) and reduced-scattering-coefficient (μ'_s) for both the cancerous and normal tissues reduced with the rise in tissue temperature. Comparing cancerous and adjacent normal tissue, the difference in k and μ'_s (at 940 nm) were statistically significant (p = 7.94e-3), while combining k and μ'_s achieved the highest statistical significance (6.74e-4). These preliminary results promise and support testing on a large number of samples for rapidly differentiating cancerous from adjacent normal tissues.     

The Design and Analysis of Twin Animal Experiments

The experimental design used in twin studies on veal calves at the University of Guelph during the years 1965–1968 combined split trials with uniformity trials on each treatment. Each replicate consisted of four twin pairs. Both members of one pair selected at random were put on treatment 1, both members of another pair were put on treatment 2, and the remaining two pairs were “split” with one twin from each pair randomly assigned to each treatment. There were a number of replicates of this basic design over the course of the experiment. The objective of this paper is: (i) to determine the feasibility of an overall analysis of the given design, (ii) to determine an accurate method for assessing treatment effects, and (iii) to find an efficient method for detecting the presence of treatment Xpair interaction.     

脑源定位技术的精度评估及其在实际中的应用

脑源定位技术旨在通过头皮表面的脑电、脑磁信号来识别大脑内的神经活动源，是研究大脑皮层神经活动、认知过程和病理功能的基础。其毫秒级的时间分辨率可以有效弥补功能核磁共振在低时间分辨率方面的不足。然而，理论分析层面中逆问题的不适定性，以及实践操作层面上不同的记录方式、电极数量和头模型构建等过程带来的误差，给脑源定位的准确性带来极大挑战，也在一定程度上限制了脑源定位方法在神经科学和心理学研究以及临床诊断治疗中的实际应用。因此，理论分析和实践操作层面中的精度评估在脑源定位方法的实际使用中至关重要。针对以上问题，本文在对现有脑源定位方法介绍的基础上，着重分析了脑源定位技术的精度评估方法以及其在基础研究和临床诊断治疗中的实际应用。具体地，本文在理论分析中总结了基于空间分辨率、基于点扩散以及串扰函数的评估方法对于不同脑源定位方法中源的重叠程度和其他源对目标源的影响；在实践操作中介绍了记录方式、电极数量和密度、头部容积传导模型等因素对源定位精度的影响；进一步介绍了脑源定位技术在时频分析、连通性分析中的应用，以及其在临床中的应用，包括癫痫、注意缺陷与多动障碍等脑部疾病。