1. Fundamentals of Mathematical Models of Infectious Diseases and Their Application to Data Analyses
Masayuki Kakehashi and Shoko Kawano
2. Dynamic Risk Prediction for Cardiovascular Disease: An Illustration Using the ARIC Study
Jessica K. Barrett, Michael J. Sweeting and Angela M. Wood
3. Statistical Models for Selected Infectious Diseases
Poduri S.R.S. Rao
4. Finite Mixture Models in Biostatistics
Sharon X. Lee, Shu-Kay Ng and Geoffrey J. McLachlan
5. Alternative Sampling Designs for Time-to-Event Data With Applications to Biomarker Discovery in Alzheimer’s Disease
Michelle Nuño and Daniel L. Gillen
6. Real-Time Estimation of the Case Fatality Ratio and Risk Factors of Death
7. Nonparametric Regression of State Occupation Probabilities in a Multistate Model
Sutirtha Chakraborty, Somnath Datta and Susmita Datta
8. Gene Set Analysis: As Applied to Public Health and Biomedical Studies
Shabnam Vatanpour and Irina Dinu
9. Causal Inference in the Study of Infectious Disease
Bradley C. Saul, Michael G. Hudgens and M. Elizabeth Halloran
10. Computational Modeling Approaches in Global Health: Sensitivity of Social Determinants on the Patterns of Health Behaviors and Diseases
11. Data-Driven Computational Disease Spread Modeling: From Measurement to Parametrization and Control
Stefan Engblom and Stefan Widgren
12. Individual and Collective Behavior in Public Health Epidemiology
Jiangzhuo Chen, Bryan Lewis, Achla Marathe, Madhav Marathe, Samarth Swarup and Anil K.S. Vullikanti
13. Theoretical Advances in Type 2 Diabetes
14. Helminth Dynamics: Mean Number of Worms, Reproductive Rates
Arni S.R. Srinivasa Rao and Roy M. Anderson
15. Bayesian Methods in Public Health
Wesley O. Johnson, Elizabeth B. Ward and Daniel L. Gillen
16. Bayesian Disease Mapping for Public Health
Andrew Lawson and Duncan Lee
Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk factor of death, Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study, Theoretical advances in type 2 diabetes, Finite Mixture Models in Biostatistics, and Models of Individual and Collective Behavior for Public Health Epidemiology.
As a two part volume, the series covers an extensive range of techniques in the field. It present a vital resource for statisticians who need to access a number of different methods for assessing epidemic spread in population, or in formulating public health policy.
- Presents a comprehensive, two-part volume written by leading subject experts
- Provides a unique breadth and depth of content coverage
- Addresses the most cutting-edge developments in the field
- Includes chapters on Ebola and the Zika virus; topics which have grown in prominence and scholarly output
Researchers in academia, industry and government, as well as statistics students, health professionals, clinicians, data scientists and modellers
- No. of pages:
- © North Holland 2017
- 13th October 2017
- North Holland
- eBook ISBN:
- Hardcover ISBN:
"Simply put, the study converts qualitative data to quantitative data. Chapter 10 in the study is unique for a health scientist – it looks at these risk behaviors and draws important conclusions regarding the contraction of various chronic and infectious diseases. This data could influence the way in which college students are educated on health risk behaviors in the future." --The State Press
Division of Epidemiology, Department of Mathematics, Department of Medicine-Division of Infectious Diseases, Medical College of Georgia, Augusta University Laboratory for Theory and Mathematical Modeling, Medical College of Georgia Previously, Dr. Rao conducted research and/or taught at Indian Statistical Institute (1998-2002, 2006-2012), Mathematical Institute, University of Oxford (2003, 2005-07), Indian Institute of Science (2002-04), University of Guelph (2004-06). Until 2012, Dr. Rao held a permanent faculty position at the Indian Statistical Institute. he has won the Heiwa-Nakajima Award (Japan) and Fast Track Young Scientists Fellowship in Mathematical Sciences (DST, New Delhi). Dr. Rao also proved a major theorem in stationary population models and chicken walk models on grid graphs.
Professor, Medical College of Georgia, Augusta University, Georgia, USA
PhD, Professor, Indian Institute of Public Health, Hyderabad, India
Indian Institute of Public Health, Hyderabad, India
C. R. Rao is a world famous statistician who earned a place in the history of statistics as one of those “who developed statistics from its adhoc origins into a firmly grounded mathematical science.”
He was employed at the Indian Statistical Institute (ISI) in 1943 as a research scholar after obtaining an MA degree in mathematics with a first class and first rank from Andhra University in1941 and MA degree in statistics from Calcutta University in 1943 with a first class, first rank, gold medal and record marks which remain unbroken during the last 73 years.
“At the age of 28 he was made a full professor at ISI in recognition of his creativity.” While at ISI, Rao went to Cambridge University (CU) in 1946 on an invitation to work on an anthropometric project using the methodology developed at ISI. Rao worked in the museum of archeology and anthropology in Duckworth laboratory of CU during 1946-1948 as a paid visiting scholar. The results were reported in the book “Ancient Inhabitants of Jebel Moya” published by the Cambridge Press under the joint authorship of Rao and two anthropologists. On the basis of work done at CU during the two year period, 1946-1948, Rao earned a Ph.D. degree and a few years later Sc.D. degree of CU and the rare honor of life fellowship of Kings College, Cambridge.
He retired from ISI in 1980 at the mandatory age of 60 after working for 40 years during which period he developed ISI as an international center for statistical education and research. He also took an active part in establishing state statistical bureaus to collect local statistics and transmitting them to Central Statistical Organization in New Delhi. Rao played a pivitol role in launching undergraduate and postgraduate courses at ISI. He is the author of 475 research publications and several breakthrough papers contributing to statistical theory and methodology for applications to problems in all areas of human endeavor. There are a number of classical statistical terms named after him, the most popular of which are Cramer-Rao inequality, Rao-Blackwellization, Rao’s Orthogonal arrays used in quality control, Rao’s score test, Rao’s Quadratic Entropy used in ecological work, Rao’s metric and distance which are incorporated in most statistical books.
He is the author of 10 books, of which two important books are, Linear Statistical Inference which is translated into German, Russian, Czec, Polish and Japanese languages,and Statistics and Truth which is translated into, French, German, Japanese, Mainland Chinese, Taiwan Chinese, Turkish and Korean languages.
He directed the research work of 50 students for the Ph.D. degrees who in turn produced 500 Ph.D.’s. Rao received 38 hon. Doctorate degree from universities in 19 countries spanning 6 continents. He received the highest awards in statistics in USA,UK and India: National Medal of Science awarded by the president of USA, Indian National Medal of Science awarded by the Prime Minister of India and the Guy Medal in Gold awarded by the Royal Statistical Society, UK. Rao was a recipient of the first batch of Bhatnagar awards in 1959 for mathematical sciences and and numerous medals in India and abroad from Science Academies. He is a Fellow of Royal Society (FRS),UK, and member of National Academy of Sciences, USA, Lithuania and Europe. In his honor a research Institute named as CRRAO ADVANCED INSTITUTE OF MATHEMATICS, STATISTICS AND COMPUTER SCIENCE was established in the campus of Hyderabad University.
University of Hyderabad Campus, India