Скачать книгу - Causa para Matar



Una dinamica historia que atrapa desde el primer episodio y no deja ir. Midwest Book Review, Diane Donovan (sobre Una Vez Desaparecido) Del autor de misterio #1 mejor vendido Blake Pierce llega una nueva obra maestra del suspenso psicologico. La detective de Homicidios Avery Black ha pasado por el infierno. Una vez abogada defensora estrella, cayo en desgracia cuando logro dejar en libertad a un brillante profesor de Harvard, solo para verlo volver a matar. Perdio a su esposo y a su hija, y su vida se derrumbo a su alrededor. Intentando redimirse, Avery se ha volcado al otro lado de la ley. Trabajando desde abajo, ha llegado a ser detective de Homicidios, causando repudio en sus companeros oficiales, quienes aun recuerdan lo que hizo, y quienes la odiaran por siempre. Pero incluso ellos no pueden negar la mente brillante de Avery, y cuando un perturbador asesino serial genera terror en el corazon de Boston, asesinando a chicas de universidades de elite, es a Avery a quien recurren. Es la oportunidad de Avery para probar su valor, y finalmente alcanzar la redencion que ansia. Sin embargo, como esta a punto de descubrir, Avery se ha enfrentado a un asesino tan brillante y audaz como ella misma. En este juego psicologico del gato y el raton, las mujeres mueren con misteriosas pistas, y las apuestas no podrian ser mas altas. Una frenetica carrera contra el tiempo lleva a Avery a traves de una serie de sorprendentes e inesperados giros, culminando en un climax que ni siquiera Avery podria haber imaginado. Un oscuro thriller psicologico con suspenso que acelera el corazon, CAUSA PARA MATAR marca el debut de una cautivadora nueva serie, y un querido nuevo personaje, que te dejara dando vuelta las paginas hasta tarde en la noche. El libro #2 de la serie de Avery Black estara disponible pronto. Una obra maestra del thriller y el misterio. Pierce hizo un magnifico trabajo desarrollando personajes con un lado psicologico, tan bien descritos que nos sentimos dentro de sus mentes, seguimos sus miedos y los alentamos en sus exitos. La trama es muy inteligente y te mantendra entretenido a traves del libro. Lleno de giros, este libro te mantendra despierto hasta dar vuelta la ultima pagina. Books and Movie Reviews, Roberto Mattos (sobre Una Vez Desaparecido)


Emerging Infectious Diseases. A Guide to Diseases, Causative Agents, and Surveillance Emerging Infectious Diseases. A Guide to Diseases, Causative Agents, and Surveillance

Автор: Lisa Beltz A.

Год издания: 

Emerging Infectious Diseases offers an introduction to emerging and reemerging infectious disease, focusing on significant illnesses found in various regions of the world. Many of these diseases strike tropical regions or developing countries with particular virulence, others are found in temperate or developed areas, and still other microbes and infections are more indiscriminate. This volume includes information on the underlying mechanisms of microbial emergence, the technology used to detect them, and the strategies available to contain them. The author describes the diseases and their causative agents that are major factors in the health of populations the world over. The book contains up-to-date selections from infectious disease journals as well as information from the Centers for Disease Control and Prevention, the World Health Organization, MedLine Plus, and the American Society for Microbiology. Perfect for students or those new to the field, the book contains Summary Overviews (thumbnail sketches of the basic information about the microbe and the associated disease under examination), Review Questions (testing students' knowledge of the material), and Topics for Further Discussion (encouraging a wider conversation on the implications of the disease and challenging students to think creatively to develop new solutions). This important volume provides broad coverage of a variety of emerging infectious diseases, of which most are directly important to health practitioners in the United States.


Causality in a Social World. Moderation, Mediation and Spill-over Causality in a Social World. Moderation, Mediation and Spill-over

Автор: Guanglei Hong

Год издания: 

Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions using application examples, and compares innovative statistical strategies with conventional analysis methods. Whilst highlighting the crucial role of good research design and the evaluation of assumptions required for identifying causal effects in the context of each application, the author demonstrates that improved statistical procedures will greatly enhance the empirical study of causal relationship theory. Applications focus on interventions designed to improve outcomes for participants who are embedded in social settings, including families, classrooms, schools, neighbourhoods, and workplaces.


Causality Causality

Автор: Группа авторов

Год издания: 

A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science. This book: Provides a clear account and comparison of formal languages, concepts and models for statistical causality. Addresses examples from medicine, biology, economics and political science to aid the reader's understanding. Is authored by leading experts in their field. Is written in an accessible style. Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.


Statistics and Causality Statistics and Causality

Автор: Группа авторов

Год издания: 

A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topics Discussions on the use and applicability of software when appropriate Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic.


Causal Inference in Statistics Causal Inference in Statistics

Автор: Judea Pearl

Год издания: 

Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.