Search results

Das Problem: Die kleine Stichprobe In der Forschungspraxis der Psychologie, der Medizin und der Sozialwissenschaften hat es der Anwender statistischer Verfahren uberwiegend mit kleinen Stichproben zu tun. Der in der Statistik-Vorlesung gelernte t-Test oder die Varianzanalyse kann hier nicht eingesetzt werden. Die Loesung: Der "kleine" Bortz Die "Kurzgefasste Statistik fur die klinische Forschung" setzt hier an: Es werden statistische Verfahren beschrieben, die bei kleinen Stichproben zur Hypothe...

"All disasters are in some sense man-made." Setting the annus horribilis of 2020 in historical perspective, Niall Ferguson explains why we are getting worse, not better, at handling disasters. Disasters are inherently hard to predict. Pandemics, like earthquakes, wildfires, financial crises. and wars, are not normally distributed; there is no cycle of history to help us anticipate the next catastrophe. But when disaster strikes, we ought to be better prepared than the Romans were when Vesuvius...

A practical guide to the use of basic principles of experimental design and statistical analysis in pharmacology Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences provides clear instructions on applying statistical analysis techniques to pharmacological data. Written by an experimental pharmacologist with decades of experience teaching statistics and designing preclinical experiments, this reader-friendly volume explains the variety of statistical tests t...

Our health and habitat are being threatened by biological invaders moving at unprecedented speed. Avian flu and its potential to cause a human pandemic is only one example of a worldwide menace unwittingly unleashed by the forces of globalization. The combination of unfettered free trade in living organisms, increased mobility, and urban crowding has created an increasingly volatile environment for the world’s 6.5 billion people. Nikiforuk argues that it shouldn’t take a pandemic to make us reth...

The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes. The authors show how counting processes, martingales, and stochastic integrals fit very nicely with censored data. Beginning with standard analyses such as Kaplan-Meier plots and Cox regression, the presentation progresses to the additive hazard model and recurrent event data...

Shellfish are a very popular and nutritious food source worldwide and their consumption has risen dramatically. Because of their unique nature as compared to beef and poultry, shellfish have their own distinct aspects of harvest, processing and handling. Edited by leading authorities in the field, this collection of review papers discusses issues of current interest and outlines steps that can be taken by the shellfish industry to improve shellfish safety and eating quality. Opening chapters pr...

Looking at health and health care in a new way, this book examines health risks and benefits as encountered 'on the move' rather than focusing on the risks and benefits incurred at fixed locations. The provision and utilization of health care is also investigated, as produced/delivered and consumed/accessed in mobile settings. Engaging with the contemporary concern with 'mobilities' this book covers many forms of movement and flow, including movements of people, disease, information and heal...

When Rats, Lice and History appeared in 1935, Hans Zinsser was a highly regarded Harvard biologist who had never written about historical events. Although he had published under a pseudonym, virtually all of his previous writings had dealt with infections and immunity and had appeared either in medical and scientific journals or in book format. Today he is best remembered as the author of Rats, Lice, and History, which gone through multiple editions and remains a masterpiece of science writing f...

Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field. A multidimensional framework is offered that makes possible the joint modeling of several risks patterns corresponding to combinations of several factors, including age group, time period, disease, etc. Although theory will be covered, the applied component will be equally as important with lots of practical examples offered. Features:...

Failure to adequately control any microbial challenge associated within process or product by robust sterilisation will result in a contaminated marketed product, with potential harm to the patient. Sterilisation is therefore of great importance to healthcare and the manufacturers of medical devices and pharmaceuticals. Sterility, sterilisation and sterility assurance for pharmaceuticals examines different means of rendering a product sterile by providing an overview of sterilisation methods inc...

Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient’s individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematica...

Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. It brings together diverse aspects of Mendelian randomization from the fields of epidemiology, statistics, genetics, and bioinformatics. Through multiple examples, the first part of the book introduces the reader to the concept of Mendelian randomization, showing how to perform simple Mendelian randomization investigat...

We live in a world of measurements. Measurements, be they of length, speed, weight, temperature, intelligence, income, endurance, greed, gross domestic product, quality of life, unemployment or skill at a job, are all numerical manifestations of the extent of some underlying attribute. They reflect the reality around us -- length and weight provide examples of systems that represent clear physical attributes. At the same time, measurements also define the reality around us -- psychometric tests...