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Statistical Methods in Health Disparity Research
A health disparity refers to a higher burden of illness, injury, disability, or mortality experienced by one group relative to others attributable to multiple factors including socioeconomic status, environmental factors, insufficient access to health care, individual risk factors, and behaviors and inequalities in education. These disparities may be due to many factors including age, income, and race. Statistical Methods in Health Disparity Research will focus on their estimation, ranging from classical approaches including the quantification of a disparity, to more formal modeling, to modern approaches involving more flexible computational approaches. Features: Presents an overview of meth...
Multivariate Statistics
This book explores multivariate statistics from both traditional and modern perspectives. The first section covers core topics like multivariate normality, MANOVA, discrimination, PCA, and canonical correlation analysis. The second section includes modern concepts such as gradient boosting, random forests, variable importance, and causal inference. A key theme is leveraging classical multivariate statistics to explain advanced topics and prepare for contemporary methods. For example, linear models provide a foundation for understanding regu-larization with AIC and BIC, leading to a deeper analysis of regularization through generalization error and the VC theorem. Discriminant analysis introd...
The Modern Anthropology of India
The Modern Anthropology of India is an accessible textbook providing a critical overview of the ethnographic work done in India since 1947. It assesses the history of research in each region and serves as a practical and comprehensive guide to the main themes dealt with by ethnographers. It highlights key analytical concepts and paradigms that came to be of relevance in particular regions in the recent history of research in India, and which possibly gained a pan-Indian or even trans-Indian significance. Structured according to the states of the Indian union, contributors raise several key questions, including: What themes were ethnographers interested in? What are the significant ethnograph...
Revolution of the Mystics
One of the most fascinating episode in the religious history of Southern India is the rise of the Virasaiva movement. These heroic followers of Siva-also called Lingayatas-are characterized by a unique combination of intense devotion and social reformation. The movement arose in the twelfth century under the charismatic leadership of Basava. Men and women from every backgroud, highcaste as well as untouchable, joined the experimental community of the Virasaivas. They has their own sacred literature in the form of short poems in the vernacular language of the region: Kannada.
Society
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1965-1969
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The Asian Elephant
This Action Plan considers elephant populations across Asia on the basis of size and provides recommendations to enhance their long-term survival. It also considers the management of elephants in captivity. Given that the basis for improved management of elephants throughout Asia must be sound systematic scientific research, the Action Plan recommends a number of research projects that need to be carried out in the field.
Applied Bayesian Hierarchical Methods
The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models involves complex data structures and is often described as a revolutionary development. An intermediate-level treatment of Bayesian hierarchical models and their applications, Applied Bayesian Hierarchical Methods demonstrates the advantages of a Bayesian approach
Bayesian Statistical Modelling
Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the fi...
