Multivariate Analysis Commons^™

Regression Models For Bivariate Binary Responses, Juni Palmgren

UW Biostatistics Working Paper Series

We discuss maximum likelihood inference for the bivariate logistic model, specified in terms of the marginal logits and the log odds ratio. Using the exponential family nonlinear model formulation the model fitting can be done in GLIM. The procedure is illustrated by modelling survival of unilateral and bilateral total hip arthroplasties as function of patient specific and hip specific covariates. We compare maximum likelihood inference with inference obtained from solving likelihood equations under the assumption of within block independence and using robust standard errors for the estimates. Simulations indicate that the latter procedure is effcient for block specific covariates but …

Feasibility Of An Extraoral Method For Predicting Manibular Incisor Relapse, Mark J. Saylor

Loma Linda University Electronic Theses, Dissertations & Projects

The author undertook to develop an extraoral model for predicting mandibular incisor relapse similar to the model described by Harvey and Sheldon Peck. Whereas the Peck and Peck method involves intraoral measurements, the method described in this paper relied on the taking of measurements from the patient's pre-treatment plaster models. Two hundred and sixty teeth were measured both orally and on plaster casts, and several statistical tests were performed to isolate any differences between the intraoral and extraoral methods. The principal difference was identified as the faciolingual measurement of the incisor, due to the height of contour often being subgingival …

Pattern Analysis : A Descriptive Introduction, J. F. Wallace, Australian Co-Operation With The National Agricultural Research Project, Thailand.

All other publications

Notes for a workshop on pattern analysis of germplasm data ; to be held at the Pathumk Thani Rice Research Centre, May-June 1989. At head of title : Australian Co-operation with the National Agricultural Research Project Thailand.

Pattern analysis is a term which covers a very large area of statistical analysis for multivariate data sets. A full understanding of pattern analysis would require years of study of mathematical concepts and computing algorithms. Fortunately, pattern analysis methods can now be used without all this specialist knowledge. This is possible because of the availability of computer programs such as PATN, which is …

Multidimensional Scaling Analysis Of Simulated Air Combat Maneuvering Performance Data, Donald J. Polzella, Gary B. Reid

Psychology Faculty Publications

This paper describes the decomposition of air combat maneuvering by means of multidimensional scaling (MDS). MDS analyses were applied to performance data obtained from expert and novice pilots during simulated air-to-air combat. The results of these analyses revealed that the performance of expert pilots is characterized by advantageous maneuverability and intelligent energy management. It is argued that MDS, unlike simpler metrics, permits the investigator to achieve greater insights into the underlying structure associated with performance of a complex task.

Multidimensional Scaling Analysis Of Simulated Air Combat Maneuvering Performance Data Ii: A Follow-On Study, Donald J. Polzella, Gary B. Reid

Psychology Faculty Publications

Multidimensional scaling (MDS) was applied to performance data obtained from expert and novice pilots during simulated air-to-air combat. The analyses revealed the principal performance dimensions to be TACTICAL POSITION (offensive versus defensive), TACTICS ("energy" versus "angle"), and TYPE OF MANEUVERING (low energy versus high energy). High-skilled combat performance was found to be dependent on the interaction between position advantage, intelligent management of kinetic and potential energies, and maneuverability.