Bayesian MCMC Mapping of Quantitative Trait Loci in a Half-sib Design: a Graphical Model Perspective

Graphical models provide a powerful and flexible approach to the analysis of complex problems in genetics. While task-specific software may be extremely efficient for any particular analysis, it is often difficult to adapt to new computational challenges. By viewing these genetic applications in a more general framework, many problems can be handled by essentially the same software. This is advantageous in an area where fast methodological development is essential. Once a method has been fully developed and tested, problem-specific software may then be required. The aim of this paper is to illustrate the potential use of a graphical model approach to genetic analyses by taking a very simple and well-understood problem by way of example.     

Training and organisational performance: A meta‐analysis of temporal,institutional and organisational context moderators

Drawing on systems theory, we conducted a moderated meta‐analysis of the training and organisational performance relationship using 119 primary studies. We examined the moderating effects of quality versus quantity of training, time, institutional and organisational context factors in the relationship between training and organisational performance. Our findings reveal that training is positively and directly related to organisational performance with no statistically significant difference between measures of training quality and quantity. We found that the relationship was stronger over time and that country performance orientation and country labour cost moderate the training and organisational performance relationship. We found no evidence for the moderating effects of the three organisational context moderators we examined (i.e. industry sector, organisational size and technology intensity). Finally, our results reveal that training type (i.e. general or firm‐specific) does not moderate the training and organisational performance relationship.     

Reviews

“THE POLL TAX” Flannery, Kate, 1987: More than Just a Poll Tax. Centre for Local Economic Strategies, £5.00. MacGregor, Susanne, 1988: The Poll Tax and the Enterprise Culture. Manchester: Centre for Local Economic Strategies, £3.95.

“ECONOMIC THEORY AND THE LOCAL ECONOMY” Smith, D., 1987: The Rise and Fall of Monetarism: The Theory and Politics of an Economic Experiment. Penguin, £3.95.

Holland, S., 1987: The Market Economy: From Micro to Mesoeconomics and The Global Economy: From Meso to Macroeconomics, Weidenfeld, £12.95 each.

Green, F. and Sutcliffe, B., 1987: The Profit System: The Economics of Capitalism. Penguin, £5.95.

“THE SERVICES REVOLUTION?” Rajan, A., 1987: Services: The Second Industrial Revolution? London: Butterworths, £27.50.

“ENVIRONMENT AND ECONOMY IN EUROPE” Joyce, F. E. and Schneider, G. (editors), 1988: Environment and Economic Development in the Regions of the European Community. Aldershot: Avebury/Gower, £18.50 hb.

“POLITICS OF PRIVATISATION” Ascher, K., 1987: The Politics of Privatisation: Contracting Out Public Services. London: Macmillan Education Ltd. £30.00 cloth, £8.95 paper.

“RECRUITMENT AND TRAINING POLICY” Davies, T. and Mason, C., 1986: Shutting out the Inner City Worker. University of Bristol, School for Advanced Urban Studies, £4.30.

Chapman, P. G. and Tooze, M. J., 1987: The Youth Training Scheme in the United Kingdom. Avebury: Gower Publishing Company, £22.50.

“JOB GENERATION RESEARCH” Storey, D. J. and Johnson, S., 1987: Job Generation and Labour Market Change. London: Macmillan.     

Gender and ethnic differences in factors that influence food intake

Abstract The objective of this research was to ascertain the gender-and ethnic-related factors that influence what one eats. This survey was conducted using a validated, pilot-tested questionnaire in 11 states and the District of Columbia, which were participating in the W-182 Western Regional Research project. The results indicated that the factors that influence what one eats differ by gender and ethnicity. Men were very much influenced by likes and dislikes, and by their spouse or significant other. Women were influenced by likes and dislikes, and health. Food likes/dislikes and concerns about health and weight were among the leading four factors for all ethnic groups. Food likes/dislikes were the top factor influencing what is eaten by 51% or more of Asians, Pacific Islanders, Caucasians and Hispanics. Concern about health was the top factor for 62% and 58%, respectively, of African Americans and Native Americans.     

On the Application of Markov Chain Monte Carlo Methods to Genetic Analyses on Complex Pedigrees

Markov chain Monte Carlo methods are frequently used in the analyses of genetic data on pedigrees for the estimation of probabilities and likelihoods which cannot be calculated by existing exact methods. In the case of discrete data, the underlying Markov chain may be reducible and care must be taken to ensure that reliable estimates are obtained. Potential reducibility thus has implications for the analysis of the mixed inheritance model, for example, where genetic variation is assumed to be due to one single locus of large effect and many loci each with a small effect. Similarly, reducibility arises in the detection of quantitative trait loci from incomplete discrete marker data. This paper aims to describe the estimation problem in terms of simple discrete genetic models and the single-site Gibbs sampler. Reducibility of the Gibbs sampler is discussed and some current methods for circumventing the problem outlined.     

The stylized facts about the behavior of manufacturers' inventories and backorders over the business cycle: 1959–1980

Recent theoretical work has highlighted the role of inventories in propagating business cycles. This paper attempts to provide an empirical foundation for current and future research on the role inventories play in business cycles. The evidence presented here indicates that inventories and backorders are major variables in predicting output fluctuations. Further, the evidence is that disaggregating inventories by stage-of-fabrication is important in predicting output. In concert with previous findings, our results suggest that disaggregated inventories ought to be a component of models of the business cycle.