This book guides the reader through power and sample size calculations for a variety of study outcomes and designs and illustrates their implementation in R. It is designed to be used as a learning tool for students as well as a resource for exper...Daugiau...
This books covers all three types of trials resulting in clustered data. For outcome variables of binary, continuous, and time to event types. The methods are discussed in terms of clinical trials, but can be used to design and analyze any types o...Daugiau...
In recent years, there has been a growing emphasis on making statistical methods and analytics accessible to health data science researchers and students. Following the first book on Statistical Analytics for Health Data Science with SAS and R...Daugiau...
R for Health Technology Assessment discusses the use of proper statistical software, specifically R, to perform the whole pipeline of analytic modelling in health technology assessment (HTA). optimization, equality, and inequality constraints and th...Daugiau...
This book provides a comprehensive overview of the current trends, challenges, and opportunities in modernizing clinical trials, offering a roadmap for stakeholders in this evolving field. It provides actionable insights into the future of clinica...Daugiau...
This book guides the reader through power and sample size calculations for a variety of study outcomes and designs and illustrates their implementation in R. It is designed to be used as a learning tool for students as well as a resource for exper...Daugiau...
In recent decades, there has been enormous growth in biologics research and development, with the accompanying development of biological assays for emerging products. In parallel, there have been substantial advances in statistical methodology, as...Daugiau...
This books covers all three types of trials resulting in clustered data. For outcome variables of binary, continuous, and time to event types. The methods are discussed in terms of clinical trials, but can be used to design and analyze any types o...Daugiau...
The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of...Daugiau...
Already popular in the analysis of medical device trials, adaptive Bayesian designs are increasingly being used in drug development for a wide variety of diseases and conditions, from Alzheimers disease and multiple sclerosis to obesity, diabetes...Daugiau...
Provides an overview of the methodology and applications of likelihood methods in survival analysis. It covers all the important topics, including competing risks and joint models. It includes lots of examples to illustrate the methods, and R code...Daugiau...
Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials provides a practical introduction to unconditional approaches to planning randomised clinical trials, particularly aimed at drug development in the pharmaceutical ind...Daugiau...
This book will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, as well as policymakers and analysts in the healthcare i...Daugiau...
This textbook shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It provides detailed overviews of survival analysis, clinical trials, regressio...Daugiau...
Focuses on integrating epidemiologic principles with statistical modeling methods in such a way that the principles inform the choice of modeling strategy and covariate selection. Association Models in Epidemiology: Study Design,...Daugiau...
This unique book officially defines Microbiome Statistics as a specific new field of statistics, and addresses the statistical analysis of correlation, association, interaction and composition in microbiome research. It also defines microbiome as...Daugiau...
Causal Inference in Pharmaceutical Statistics introduces the basic concepts and fundamental methods of causal inference relevant to pharmaceutical statistics. This book covers causal thinking for different types of commonly used study designs in the...Daugiau...
Disease screening and disease surveillance (DSDS) constitute two critical areas in public health, each presenting distinctive challenges primarily due to their sequential decision-making nature and complex data structures. Statistical Methods f...Daugiau...
This book is focused on the critical clinical initiatives introduced by the 21st Century Cure Act passed by the United States Congress in December 2016. The book covers everything from the outline of the initiatives to analysis on th...Daugiau...
The authors present the essence of statistical reasoning in clinical trials,peppered with well-known clinical trials This book uses only a small number of important principles to develop the entire statistical foundation of clinical trials. ...Daugiau...
This book introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Readers of all disciplines familiar with introductory statistics will...Daugiau...
Cell and gene therapies have become the third major drug modality in pharmaceutical medicine of the 21st century after low molecular weight and antibody drugs. The gene therapy (GTx) field is rapidly advancing, and yet there are still fundamental sc...Daugiau...
