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Modern Issues and Methods in Biostatistics

Part of the Statistics for Biology and Health Book Series

DOI: 10.1007/978-1-4419-9842-2

ISBN: 978-1-4419-9841-5

Publisher: Springer New York - Springer Journals

Jun 16, 2011

1 - 10 of 10 Chapters

Available

Multiple-Hypothesis Testing Strategy

Chang, Mark

Pages: 1 –30

[In this chapter, we will discuss multiple hypothesis-testing issues from a frequentist perspective. The Bayesian approaches for multiple-testing problems will be discussed briefly in Chap. 10. As we all know, a typical hypothesis test in the frequentist paradigm can be written as...
Available

Pharmaceutical Decision and Game Theory

Chang, Mark

Pages: 31 –57

[A pharmaceutical or biopharmaceutical company is a commercial business licensed to research, develop, market, and/or distribute drugs, most commonly in the context of healthcare. It is subject to a variety of laws and regulations regarding the patenting, testing, and marketing of drugs,...
Available

Noninferiority Trial Design

Chang, Mark

Pages: 59 –86

[Superiority and noninferiority (NI) trials are two common types of clinical trials. Superiority means, in layman’s language, that the test drug is better than the comparative drug (active comparator or active-control), whereas noninferiority suggests that the test drug may not be as good as the...
Available

Adaptive Trial Design

Chang, Mark

Pages: 87 –115

[The utilization of adaptive trial designs can increase the probability of success, reduce the cost, reduce the time to market, and deliver the right drug to the right patient. Two popular definitions of adaptive design are: (1) Chow and Chang’s definition that an adaptive design is a clinical...
Available

Missing Data Imputation and Analysis

Chang, Mark

Pages: 117 –143

[Missing data are a common occurrence in scientific research and in our daily lives. In a survey, a lack of response constitutes missing data. In clinical trials, missing data can be caused by a patient’s refusal to continue in a study, treatment failures, adverse events, or patient relocations.]
Available

Multivariate and Multistage Survival Data Modeling

Chang, Mark

Pages: 145 –174

[Survival analysis or time-to-event analysis is a branch of statistics dealing with death (failure) or degradation in biological organisms, mechanical or electronic systems, or other areas. This topic is called reliability theory or reliability analysis in engineering, and duration analysis or...
Available

Meta-Analysis

Chang, Mark

Pages: 175 –204

[Meta-analysis is a statistical technique of performing integrated analyses by combining results of several independent studies to answer specific questions. In fact, any time we make a decision we have actually performed, often implicitly, a meta-analysis in our mind. This kind of meta-analysis...
Available

Data Mining and Signal Detection

Chang, Mark

Pages: 205 –231

[Data mining, a the confluence of multiple intertwined disciplines such as statistics, machine learning, pattern recognition, database systems, information retrieval, the World Wide Web, visualization, and many application domains, has made great progress in the past decade. Statistics plays a...
Available

Monte Carlo Simulation

Chang, Mark

Pages: 233 –259

[Monte Carlo simulation is the technique to mimic a dynamic system or process using a computer program. Computer simulations, as an efficient and effective research tool, have been used virtually everywhere, including in biostatistics, engineering, finance, and other areas. To perform...
Available

Bayesian Methods and Applications

Chang, Mark

Pages: 261 –289

[This introductory section will provide some key elements in the Bayesian paradigm and a quick review of basic Bayesian methods. It is intended mainly for those who are new to Bayesianism or Bayesian applications in biostatistics.]

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