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Using Multivariate Statistics

So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

Human biochemical genetics

Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268

I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Principles of Neural Science

In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.

Forecasting, Structural Time Series Models and the Kalman Filter

The main theme of this paper concerns the persistent critique of Gilbert Gottlieb on developmental behavior genetics and my reactions to this critique, the latter changing from rejection to complete acceptation. Concise characterizations of developmental behavior genetics, developmental systems theory (to which Gottlieb made essential contributions), ergodic theory (the implications of which underlie my change of opinion), as well as their relevant theoretical relations are given.

An interpretation of part of gilbert gottlieb's legacy: Developmental systems theory contra developmental behavior genetics

Quantitative autoradiography was used to determine the density and distribution of beta 1- and beta 2-adrenoceptors in the atrioventricular (AV) conducting system and surrounding myocardium of spontaneously hypertensive rats (SHR) after chronic infusion of perindopril (1 mg/kg/day) for 14 days by osmotic mini-pumps. Systolic blood pressure (SBP) was measured for a period of 4 weeks (2 weeks before and 2 weeks during perindopril infusion) in control and treated animals. Animals infused with vehicle (water) had a mean SBP of 248 mm Hg (measured on day 29); animals treated with perindopril had lower SBP (121 mm Hg, day 29). Perindopril treatment also prevented development of cardiac hypertrophy in SHR. beta-Adrenoceptor densities were measured in the AV node, His bundle, left and right bundle branches (LB, BB), interventricular and interatrial septa (IVS, IAS), mitral valve (MV), right papillary muscle, left and right ventricles (LV, RV), left and right atria (LA, RA), and apex. Perindopril produced no significant change in beta-adrenoceptors in any cardiac region examined. The results suggest that under experimental conditions in which perindopril treatment prevented cardiac hypertrophy and decreased SBP, there was no significant interaction between the renin-angiotensin system (RAS) and beta-adrenoceptor system in rat heart.

β-Adrenoceptor Subtypes in the Atrioventricular Conducting System and Myocardium of Spontaneously Hypertensive Rats: Effects of Angiotensin-Converting Enzyme Inhibition by Perindopril

Models for the estimation and removal of artifacts in biological signals

Intraindividual variability across the life span: Moving toward computational developmental science

https://lirias.kuleuven.be/retrieve/610150

The search for an autoimmune origin of psychotic disorders: Prevalence of autoantibodies against hippocampus antigens, glutamic acid decarboxylase and nuclear antigens.

Peter C. M. Molenaar

Papers

An interpretation of part of gilbert gottlieb's legacy: Developmental systems theory contra developmental behavior genetics

β-Adrenoceptor Subtypes in the Atrioventricular Conducting System and Myocardium of Spontaneously Hypertensive Rats: Effects of Angiotensin-Converting Enzyme Inhibition by Perindopril

Models for the estimation and removal of artifacts in biological signals

Intraindividual variability across the life span: Moving toward computational developmental science

The search for an autoimmune origin of psychotic disorders: Prevalence of autoantibodies against hippocampus antigens, glutamic acid decarboxylase and nuclear antigens.