Catalano, PJ & Ryan, LM 1994, '14 Statistical methods in developmental toxicology' in Handbook of Statistics, Elsevier, pp. 507-533.
View/Download from: Publisher's site
View description>>
This chapter describes some of the statistical issues surrounding analysis of data from controlled developmental toxicity experiments in animals. After discussion of relevant background information, a typical experimental design is reviewed with discussion of the main statistical considerations involved in analyzing data from these experiments. Discussion follows to popular approaches for dose-response modeling, including both likelihood based and quasi-likelihood models. Attention is given to the general problem of handling multiple outcomes, a common occurrence in developmental toxicology. The issue of conducting risk assessment is then taken up by first reviewing the current method of defining allowable doses based on determining a no observed adverse effect level (NOAEL), or the dose preceding the lowest dose that differs significantly from controls. This is contrasted with more quantitative approaches such as determining a benchmark dose. Some recent advances in the area of risk assessment for multiple outcomes are also reviewed. © 1994 Elsevier Science B.V. All rights reserved.
CATALANO, P, RYAN, L & SCHARFSTEIN, D 1994, 'MODELING FETAL DEATH AND MALFORMATION IN DEVELOPMENTAL TOXICITY STUDIES', RISK ANALYSIS, vol. 14, no. 4, pp. 629-637.
View/Download from: Publisher's site
LEGLER, JM, RYAN, LM, HARVEY, EA & HOLMES, LB 1994, 'ANTICONVULSANT TERATOGENESIS .2. STATISTICAL-METHODS FOR MULTIPLE BIRTH OUTCOMES', TERATOLOGY, vol. 50, no. 1, pp. 74-79.
View/Download from: Publisher's site
View description>>
The purpose of this paper is to demonstrate the application of generalized estimating equations to assess an exposure effect using multiple birth outcomes. This multivariate approach provides the flexibility of regression modeling and improved power, as compared to series of univariate analyses or collapsing the multiple endpoints to a single indicator of affectedness. Motivating the discussion will be a large cohort study designed to assess the effects of anticonvulsant medications on a variety of birth outcomes, including major malformations, and growth and weight parameters, as well as a broad spectrum of minor physical anomalies. Because the study is still in progress, the aim here is not to present a definitive analysis, but to present and describe the application of these recently developed statistical methods to analyze studies with multiple outcomes. For simplicity, we will focus on the control and drug‐exposed groups only from that study (ignoring the seizure history group), and we will concentrate on an analysis of minor physical anomalies. © 1994 Wiley‐Liss, Inc. Copyright © 1994 Wiley‐Liss, Inc., A Wiley Company
CATALANO, PJ, RYAN, LM, SENCHAUDHURI, P & AMER STAT ASSOC, SSE 1970, 'Developmental toxicity modeling for risk assessment', AMERICAN STATISTICAL ASSOCIATION 1994 PROCEEDINGS OF THE SECTION ON STATISTICS AND THE ENVIRONMENT, Annual Meeting of the Section-on-Statistics-and-the-Environment of the American-Statistical-Association, Amer Statistical Assoc, TORONTO, CANADA, pp. 38-45.
View description>>
NA
Cucchiara, R, Di Stefano, L, Monacelli, M, Piccardi, M & Rustichelli, G 1970, 'A parallel vision subsystem for robotic inspection and manipulation', Proceedings of IECON'94 - 20th Annual Conference of IEEE Industrial Electronics, IECON'94 - 20th Annual Conference of IEEE Industrial Electronics, IEEE, pp. 862-866.
View/Download from: Publisher's site
View description>>
The paper describes an SIMD massively parallel computer conceived for robot vision, and presents an application where the system is installed on a mobile robot to support inspection and manipulation tasks. The system consists of a scalable array of up to 4K single-bit processors controlled by a general-purpose microcomputer through a dedicated interface. The system's architecture is overviewed, addressing the available prototype as well as the functional units currently under design. We provide examples of image analysis goals that can be efficiently reached using spatially-organized parallel architectures such as SIMD array and give measurements of present performances. Using code profiles we also evaluate the speedup associated with the configuration being designed.
LINDSEY, JC & RYAN, LM 1970, 'A COMPARISON OF CONTINUOUS-TIME AND DISCRETE-TIME 3-STATE MODELS FOR RODENT TUMORIGENICITY EXPERIMENTS', ENVIRONMENTAL HEALTH PERSPECTIVES, International Biostatistics Conference in the Study of Toxicology, US DEPT HEALTH HUMAN SCIENCES PUBLIC HEALTH SCIENCE, TOKYO, JAPAN, pp. 9-17.
View/Download from: Publisher's site
View description>>
The three-state illness-death model provides a useful way to characterize data from a rodent tumorigenicity experiment. Most parametrizations proposed recently in the literature assume discrete time for the death process and either discrete or continuous