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Ahern, David C.; Bridges, Ana J.; Faust, David – Journal of Child Sexual Abuse, 2012
Our series of three chapters (Faust, Bridges, & Ahern, 2009a, 2009b; Bridges, Faust, & Ahern, 2009) on the methodology of identifying sexually abused children elicited a number of comments, both supportive and critical. The criticisms appear related to three primary issues or apparent misconceptions of our work, perhaps due in part to incomplete…
Descriptors: Child Abuse, Misconceptions, Sexual Abuse, Identification
Hong, Feng – ProQuest LLC, 2009
Microarray is a high throughput technology to measure the gene expression. Analysis of microarray data brings many interesting and challenging problems. This thesis consists three studies related to microarray data. First, we propose a Bayesian model for microarray data and use Bayes Factors to identify differentially expressed genes. Second, we…
Descriptors: Data Analysis, Bayesian Statistics, Tests, Measurement Techniques

Thum, Yeow Meng; Bhattacharya, Suman K. – Journal of Educational and Behavioral Statistics, 2001
Developed and illustrated an analysis for detecting changes in multiple time series for a multilevel setting. Shows how the approach can be used to evaluate intervention effects associated with a treatment to which the lengths of delay in the response may be unique to each treated unit. The approach does not assume a known change point. (SLD)
Descriptors: Academic Achievement, Bayesian Statistics, Change, Evaluation Methods

Massaro, Dominic W.; Friedman, Daniel – Psychological Review, 1990
Several models of information integration are developed and analyzed in the context of a prototypical pattern-recognition task. Evaluation, integration, and decision-making processes are specified for each. Simulations and predictions are carried out to provide a measure of identifiability or extent to which they can be distinguished from one…
Descriptors: Bayesian Statistics, Cognitive Processes, Criteria, Decision Making