Philosophising the Occult: Avicennan Psychology and `The Hidden Secret` of Fakhr al-Din al-Razi, Michael-Sebastian Noble
Автор: Noble Michael-Sebastian Название: Philosophising the Occult ISBN: 3110644576 ISBN-13(EAN): 9783110644579 Издательство: Walter de Gruyter Цена: 16169.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Was it mere encyclopedism that motivated Fakhr al-Dīn al-Rāzī (d.1210), one of the most influential Islamic theologians of the twelfth century, to theorize on astral magic - or was there a deeper purpose? One of his earliest works was The Hidden Secret ('al-Sirr al-Maktūm'), a magisterial study of the 'craft' which harnessed spiritual discipline and natural philosophy to establish noetic connection with the celestial souls to work wonders here on earth. The initiate's preceptor is a personal celestial spirit, 'the perfect nature' which represents the ontological origin of his soul. This volume will be the first study of The Hidden Secret and its theory of astral magic, which synthesized the naturalistic account of prophethood constructed by Avicenna (d.1037), with the perfect nature doctrine as conceived by Abū'l-Barakāt (d.1165). Shedding light on one of the most complex thinkers of the post-Avicennan period, it will show how al-Rāzī's early theorizing on the craft contributed to his formulation of prophethood with which his career culminated. Representing the nexus between philosophy, theology and magic, it will be of interest to all those interested in Islamic intellectual history and occultism.
Описание: This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.
Автор: Ding-Geng (Din) Chen, Karl E. Peace Название: Applied Meta-Analysis with R and Stata ISBN: 0367183838 ISBN-13(EAN): 9780367183837 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, this book shows how to implement statistical meta-analysis methods to real data using R and Stata.
Описание: This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel applications in biostatistics research.
Описание: This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel applications in biostatistics research.
Автор: Lanju Zhang; Ding-Geng (Din) Chen; Hongmei Jiang; Название: Contemporary Biostatistics with Biopharmaceutical Applications ISBN: 3030153096 ISBN-13(EAN): 9783030153090 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume presents current research in biostatistics with emphasis on biopharmaceutical applications. Featuring contributions presented at the 2017 ICSA Applied Statistics Symposium held in Chicago, IL on June 25 to 28, 2017, this book explores timely topics that have a high potential impact on statistical methodology and future research in biostatistics and biopharmaceuticals. The theme of this conference was Statistics for a New Generation: Challenges and Opportunities, in recognition of the advent of a new generation of statisticians. The conference attracted statisticians working in academia, government, and industry; domestic and international statisticians. From the conference, the editors selected 28 high-quality presentations and invited the speakers to prepare full chapters for this book. These contributions are divided into four parts: Part I Biostatistical Methodology, Part II Statistical Genetics and Bioinformatics, Part III Regulatory Statistics, and Part IV Biopharmaceutical Research and Applications.Featuring contributions on topics such as statistics in genetics, bioinformatics, biostatistical methodology, and statistical computing, this book is beneficial to researchers, academics, practitioners and policy makers in biostatistics and biopharmaceuticals.
Автор: Peace, Karl E. (georgia Southern University,usa) Chen, Ding-geng (din) (university Of North Carolina, Usa) Название: Applied meta-analysis with r and stata ISBN: 0367709341 ISBN-13(EAN): 9780367709341 Издательство: Taylor&Francis Рейтинг: Цена: 6889.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, this book shows how to implement statistical meta-analysis methods to real data using R and Stata.
Описание: It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data.
Автор: Zhang Lanju, Chen Ding-Geng (Din), Jiang Hongmei Название: Contemporary Biostatistics with Biopharmaceutical Applications ISBN: 3030153126 ISBN-13(EAN): 9783030153120 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I Biostatistical Methodology.- Dimension Reduction in High Dimensional Multivariate Time Series Analysis.- Multi-Panel Kendall Plot Applied to Measuring Dependence.- Flexible Optimal Design Strategies.- A Multivariate Spatial Modelling Approach with Nonparametric Cross-covariogram.- A Deterministic Global Optimization Method for Variational Inference.- Part II Statistical Genetics and Bioinformatics.- Subgroup identification with latent Dirichlet allocation.- Dictionary learning based genotype imputation to improve power for association testing.- Integrating Transcriptional Time Lag Information into Gene Regulatory Network Construction.- Optimal experimental designs for fMRI when the model matrix is uncertain.- On Exact and Approximate Distributions of K-homopolymer for iid and Markov Dependent DNA Sequences.- Part III Regulatory Statistics.- Utilizing Seamless Adaptive Designs for NASH Clinical Trials.- A Bayesian Non-inferiority Design with Companion Constancy Test in Active Controlled Trials.- A Study Design for Utilizing External Data to Augment the Control in a Randomized Controlled Trial.- Some thoughts in designing a Bayesian study: From a statistical reviewer's perspective.- On Weighted Performance Goals in Medical Device Single-Arm Clinical Studies.- Part IV Biopharmaceutical Research and Applications.-Current Status Data in the Presence of a Terminal Event.- Seamless Phase 2/3 Study Design with an Oncology Example.- A Bayesian meta-analysis method for estimating risk difference of rare events.- Comparison of multi-arm multi-stage design and adaptive randomization in platform clinical trials.- A Calibrated Power Prior Approach to Borrow Information from Historical Data with Application.- A Gatekeeping Test in a Group Sequential Design with Multiple Interim Looks.- Application of Bayesian Methods in Oncology Dose Escalation Studies with Late Onset Toxicity.- Bayesian hierarchical model estimation and comparison of immunogenicity assay cut-points.-Inference for Two-Stage Dynamic Treatment Regimes in the Presence of Drop.- Comparison of different approaches for dynamic prediction of survival using longitudinal data.- Update on progress of ASA Biopharm Safety Monitoring Working Group.- Options for implementing pattern-mixture-based sensitivity analyses.
Описание: This book compiles and presents new developments in statistical causal inference. The book brings together experts engaged in causal inference research to present and discuss recent issues in causal inference methodological development.
1. Computational Issues Of Maximum Likelihood Estimation Of The Skew-T Distribution And A Proposal For The Initialization Of Numerical Optimization - by Adelchi Azzalini (University of Padua, Italy) and Mahdi Salehi (University of Neyshabur, Iran).- 2. Modelling Earthquakes: Characterizing Inter-Arrival Times And Magnitude - by Christophe Ley (Ghent University, Belgium) and Rosaria Simone (University of Naples Frederico II, Italy).- 3. Multivariate Order Statistics Induced By Ordering Linear Combinations Of Components Of Multivariate Elliptical Random Vectors - by Ahad Jamalizadeh (Shahid Bahonar University, Iran), Roohollah Roozegar (Yasouj University, Iran), Narayanaswamy Balakrishnan (McMaster University, Canada) and Mehrdad Naderi (University of Pretoria, South Africa).- 4. Spatial Interpolation Of Extreme PM1 Values Using Copulas - by Alfred Stein, Fakhereh Alidoost and Vera van Zoest (University of Twente, The Netherlands).- 5. Distributional Aspects Of The Condition Number From A Unified Complex Wishart Setting - by Johannes Ferreira and Andriлtte Bekker (University of Pretoria, South Africa).- 6. Weighted Bivariate Pуlya-Aeppli Type Ii Distributions - by Claire Geldenhuys and Renй Ehlers (University of Pretoria, South Africa).- 7. On The Distribution Of Linear Combinations Of Chi-Square Random Variables - by Carlos A. Coelho (Universidade Nova de Lisboa, Portugal).- 8. Constructing Multivariate Distributions Using The Dirichlet As A Baseline - by Seite Makgai (University of Pretoria, South Africa), Mohammad Arashi (Shahrood University of Technology, Iran), Daan de Waal (University of the Free State), and Andriлtte Bekker (University of Pretoria, South Africa).- 9. Evaluating Risk Measures Using The Normal Mean-Variance Birnbaum-Saunders Distribution - by Mehrdad Naderi (University of Pretoria, South Africa), Ahad Jamalizadeh (Shahid Bahonar University, Iran), Wan-Lun Wang (Feng Chia University, Taiwan), Tsung-I Lin (National Chung Hsing University, Taiwan).- 10. On High-Dimensional Multivariate Bayesian Geostatistics - by Sudipto Banerjee (University of California, USA).- 11. On Improving The Performance Of Logistic Regression Analysis Via Extreme Ranking - by Hani M. Samawi (Georgia Southern University, USA).- 12. Optimal Sample Size Allocation For Multi-Level Stress Testing With Extreme Value Regression Under Time Censoring - by Ping Shing Chan (The Chinese University of Hong Kong, Hong Kong), Hon Yiu So (University of Waterloo, Canada), Hon Keung Tony Ng (Southern Methodist University, USA) and Wei Gao (Northeast Normal University, China).- 13. Robust Mixtures Of Scale Mixtures In The Exponential Family - by Frans Kanfer and Sollie Millard (University of Pretoria, South Africa).- 14. Variable Selection Of Interval-Censored Failure Time Data - by Tony Sun (University of Missouri, USA).- 15. On The Design Of A Platform Trial For The Treatment Of Recurrent Clostridium Difficile Infection By Fecal Microbiota Transplantation - by Christine H. Lee (Royal Jubilee Hospital, Canada), Dina Kao (University of Alberta, Canada), Theodore Steiner (University of Vancouver, Canada), Augustine Wigle (University of Guelph, Canada) and Peter T. Kim (University of Guelph, Canada).- 16. Recent Advances In Bayesian Adaptive Designs And Applications - by J. Jack Lee (University of Texas, USA).- 17. Generalizability Theory For Clinician-Rated Outcomes - by Joseph C. Cappelleri (Executive Director of Biostatistics, Pfizer Inc).- 18. Simultaneous Variable Selection And Estimation In Generalized Semiparametric Mixed Effect Modeling Of Longitudinal Data - by Mozhgan Taavoni and Mohammad Arashi (Shahrood University of Technology, Iran).- 19. Generalized Rayleigh-Exponential-Weibull Distribution and its Application to Modelling of Progressive Type-I Interval Censored Data - by Ding-Geng Chen (University of Pretoria) and Y. L. Lio (University of South Dakota).- 20. Applications Of Spatial Statistics In Poverty Alleviat
Описание: This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.
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