There is growing interest in pooling specimens across subjects in epidemiologic studies, especially those involving biomarkers. This paper is concerned with regression analysis of epidemiologic data where a binary exposure is subject to pooling and the pooled measurement is dichotomized to indicate either that no subjects in the pool are exposed or that some are exposed, without revealing furth...

Pooling of RNA samples isolated from tissue is a strategy that can be implemented in microarray experiments when the amount of sample RNA is limiting, or when variation across samples must be reduced. However, it is widely documented that important gene expression information is lost during pooling. This Technical Note qualifies and quantifies the effects of pooling on biological conclusions de...

We introduce a simple and effective method for regularizing large convolutional neural networks. We replace the conventional deterministic pooling operations with a stochastic procedure, randomly picking the activation within each pooling region according to a multinomial distribution, given by the activities within the pooling region. The approach is hyper-parameter free and can be combined wi...

REMLINGER, KATJA S. Statistical Design and Analysis of High Throughput Screening Data Using Pooling Experiments and Data Mining Techniques. (Under the direction of Dr. Jacqueline M. Hughes-Oliver and Dr. S. Stanley Young.) Discovery of a new drug involves screening large chemical libraries to identify new and diverse active compounds. Only a very small percentage of the compounds in the library...

Combining and analyzing data from heterogeneous randomized controlled trials of complex multiple-component intervention studies, or discussing them in a systematic review, is not straightforward. The present article describes certain issues to be considered when combining data across studies, based on discussions in an NIH-sponsored workshop on pooling issues across studies in consortia (see Be...

OBJECTIVES Multineuronal spike trains must be efficiently decoded in order to utilize them for controlling artificial limbs and organs. Here we evaluated the efficiency of pooling (averaging) and combining (vectorizing) activities of multiple neurons for decoding neuronal information. METHODS Multineuronal activities in the monkey inferior temporal (IT) cortex were obtained by classifying spi...

Potential reductions in laboratory assay costs afforded by pooling equal aliquots of biospecimens have long been recognized in disease surveillance and epidemiological research and, more recently, have motivated design and analytic developments in regression settings. For example, Weinberg and Umbach (1999, Biometrics 55, 718-726) provided methods for fitting set-based logistic regression model...

MOTIVATION It has been claimed in the literature that pooling DNA samples is efficient in estimating haplotype frequencies. There is, however, no theoretical justification based on calculation of statistical efficiency. In fact, the limited evidence given so far is based on simulation studies with small numbers of loci. With rapid advance in technology, it is of interest to see if pooling is st...

We examine pooling data as a method for improving Statistical Machine Translation (SMT) quality for narrowly defined domains, such as data for a particular company or public entity. By pooling all available data, building large SMT engines, and using domain-specific target language models, we see boosts in quality, and can achieve the generalizability and resiliency of a larger SMT but with the...

in this paper, the residential demand for electricity equation is specified and then this equation is estimated using a pooling data for period 1983-90. the results of study for different regions of province show that the demand is less elastic with respect to average price of electricity and residential area, .but it is more elastic with respect to income and average number of households. thes...