Epidemiology and Medical statistics Books

Book SynopsisCancers are on the rise across the world. Except for viral-based cancers, overall cancers are diseases that may be preventable. This book looks at the many levels of determined, probable, and possible causation for several common cancers. These causes include realities found in culture, anthropology, sociology, politics, the environment, agriculture and food, beliefs, and the modern lifestyle. These realities are filtered through the perennial science of Chinese medicine — an ecological system of knowing and understanding the human body as it relates to the world around us.The book covers lung, colorectal, breast, prostate, and virally-caused cancers. It interweaves conventional medical knowledge of these cancers with modern realities of everyday life we all live, and with Chinese medicine interpretations and strategies for treating probable pre-cancerous conditions. This makes it a book that is useful for the practitioner of Chinese medicine. It is also useful for the patient suffering a cancer diagnosis in terms of survivorship and for other medical practitioners who wish to understand how integrated care for cancerous diseases and conditions may relate to Chinese medicine and prevention.The final chapters of the book are dedicated to finding answers for a cure for cancer through making connections between how we live, what we believe, the environment we are creating based on those beliefs, and the social and political mechanisms we now have in place that keep us from change and, therefore, from the cure for cancer.Table of ContentsWater: The San Jiao and The Lowest Common Denominator; Air: The Medium is the Messenger - Lung Cancer; Earth: The Soil of life - Colorectal Cancer; Yin and Qi - Breast Cancer; Yin and Yang - Prostate Cancer; Fire - Viral Cancers; Epigenetics and the Source Qi; The Geology of Hope; Connections.

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Book SynopsisCancers are on the rise across the world. Except for viral-based cancers, overall cancers are diseases that may be preventable. This book looks at the many levels of determined, probable, and possible causation for several common cancers. These causes include realities found in culture, anthropology, sociology, politics, the environment, agriculture and food, beliefs, and the modern lifestyle. These realities are filtered through the perennial science of Chinese medicine — an ecological system of knowing and understanding the human body as it relates to the world around us.The book covers lung, colorectal, breast, prostate, and virally-caused cancers. It interweaves conventional medical knowledge of these cancers with modern realities of everyday life we all live, and with Chinese medicine interpretations and strategies for treating probable pre-cancerous conditions. This makes it a book that is useful for the practitioner of Chinese medicine. It is also useful for the patient suffering a cancer diagnosis in terms of survivorship and for other medical practitioners who wish to understand how integrated care for cancerous diseases and conditions may relate to Chinese medicine and prevention.The final chapters of the book are dedicated to finding answers for a cure for cancer through making connections between how we live, what we believe, the environment we are creating based on those beliefs, and the social and political mechanisms we now have in place that keep us from change and, therefore, from the cure for cancer.Table of ContentsWater: The San Jiao and The Lowest Common Denominator; Air: The Medium is the Messenger - Lung Cancer; Earth: The Soil of life - Colorectal Cancer; Yin and Qi - Breast Cancer; Yin and Yang - Prostate Cancer; Fire - Viral Cancers; Epigenetics and the Source Qi; The Geology of Hope; Connections.

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Book SynopsisThis volume consists of three parts: Part I comprises 11 chapters on the basic concepts of statistics, Part II consists of 10 chapters on multivariate statistics and Part III contains 12 chapters on design and analysis for medical research. The book is written using basic concepts and commonly used methods of design and analysis in medical statistics, incorporating the operation of statistical package SAS and 100 computer experiments for the important statistical phenomena related to each chapter. All necessary data, including reference answers for the exercises, SAS programs for all computer experiments and part of the examples, and data documents for 12 medical researches are available. The Chinese version of this book has been recommended as a textbook of statistics for postgraduate program by the Office of Education Research, Ministry of Education, People's Republic of China.Table of ContentsBasic Concepts of Statistics: Descriptive Statistics; Hypothesis Testing; Simple Linear Correlation and Regression; Non-Linear Regression; Analysis of Variance; Nonparametric Tests based on Ranks; Advanced Statistical Methods: Multiple Regression and Correlation; Multi-Variate ANOVA; Discriminant Analysis; Factor Analysis; Canonical Correlation and Correspondence Analysis; Logistic Regression; Survival Analysis; Log Linear Methods and Poisson Regression; Design and Analysis for Medical Research: Analysis of Repeated Measurements; Design and Analysis of Sequential Experiments; Design and Analysis for Epidemiological Study; Design and Analysis for Comparative Effectiveness Research; Statistical Methods for Data from Genetic Study; Statistical Methods for Data of Bioinformatics; Design and Analysis for Diagnostic and Screening Study; Systematic Review of Medical Literatures and Meta-Analysis; and others.

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Book SynopsisThe book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.Table of ContentsHistory of Statistical Thinking; Data Description; Predictive Value of Prognostic Biomarkers; Personalized Medicine; Quality Control; Imaging; Cost-Effectiveness Analysis; Quality of Life; Meta Analysis; Infections Disease; Sampling Survey; Capture-Recapture; Disease Screening; Biopharmaceutical Research; Pharmacology and Pre-Clinical Study; Toxicology; Dose-Response Model; Confirmative Trial; Surrogate Marker; Adaptive Trial Design; Chinese Medicine; Copy Number Variation; Linkage Study; Next-Generation Sequencing; Population Genetics; GWAS; Causal Inference; Survival Analysis; Longitudinal Data Analysis; Local Smoothing and Nonparametric Regression; Dependent Data Analysis; Bayesian Statistics; Prior-Free Probabilistic Inference; Stochastic Process; Missing Data; Time Series; Tree Based Method and Artificial Neural Network.

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