The average business in the U.S. has a life expectancy lower than people living in poverty in sub-Saharan Africa. The tragedy is that the suffering and premature death from the silent killers of businesses is preventable with the right diagnostics and strategies.

The tools included in this book help managers know when to stay the strategic course and when and how to change direction. The closest thing to a crystal ball in business will be yours from the:

self-assessments

knowledge of lifecycle analysis and

strategies tailored to transition and succeed in each lifecycle stage.

You'll anticipate changes in markets and competitive behaviors and know what actions should and shouldn't be taken. Whether for your business, investment portfolio or career, after reading this book, you'll find more valuable insights and opportunities in each day's news.

To make lifecycle analysis even more powerful, we've included a simple copyrighted seven step validation method. Case studies based on extensive research on scores of firms drawn from dozens of industries provide real world examples with loads of graphs and tables using actual data.

Imagine when you put lifecycle analysis to work for you:

Joining the organization where your career can soar;

Building a team of top performers;

Choosing the right business partners;

Recognizing if a competitor poses a serious threat;

Knowing when to buy and when to sell; and

Hitting your financial targets consistently;

Start leading your business and career to a long and prosperous life.

This book is targeted to biologists with limited statistical background and to statisticians and computer scientists interested in being effective collaborators on multi-disciplinary DNA microarray projects. State-of-the-art analysis methods are presented with minimal mathematical notation and a focus on concepts. This book is unique because it is authored by statisticians at the National Cancer Institute who are actively involved in the application of microarray technology. Many laboratories are not equipped to effectively design and analyze studies that take advantage of the promise of microarrays. Many of the software packages available to biologists were developed without involvement of statisticians experienced in such studies and contain tools that may not be optimal for particular applications. This book provides a sound preparation for designing microarray studies that have clear objectives, and for selecting analysis tools and strategies that provide clear and valid answers. The book offers an in depth understanding of the design and analysis of experiments utilizing microarrays and should benefit scientists regardless of what software packages they prefer. In order to provide all readers with hands on experience in data analysis, it includes an Appendix tutorial on the use of BRB-ArrayTools and step by step analyses of several major datasets using this software which is freely available from the National Cancer Institute for non-commercial use. The authors are current or former members of the Biometric Research Branch at the National Cancer Institute.  They have collaborated on major biomedical studies utilizing microarrays and in the development of statistical methodology for the design and analysis of microarray investigations. Dr. Simon, chief of the branch, is also the architect of BRB-ArrayTools.

Genomics is majorly impacting therapeutics development in medicine. This book contains up-to-date information on the use of genomics in the design and analysis of therapeutic clinical trials with a focus on novel approaches that provide a reliable basis for identifying which patients are most likely to benefit from each treatment. It is oriented to both clinical investigators and statisticians. For clinical investigators, it includes background information on clinical trial design and statistical analysis. For statisticians and others who want to go deeper, it covers state-of-the-art adaptive designs and the development and validation of probabilistic classifiers. The author describes the development and validation of prognostic and predictive biomarkers and their integration into clinical trials that establish their clinical utility for informing treatment decisions for future patients.

Genomics is majorly impacting therapeutics development in medicine. This book contains up-to-date information on the use of genomics in the design and analysis of therapeutic clinical trials with a focus on novel approaches that provide a reliable basis for identifying which patients are most likely to benefit from each treatment. It is oriented to both clinical investigators and statisticians. For clinical investigators, it includes background information on clinical trial design and statistical analysis. For statisticians and others who want to go deeper, it covers state-of-the-art adaptive designs and the development and validation of probabilistic classifiers. The author describes the development and validation of prognostic and predictive biomarkers and their integration into clinical trials that establish their clinical utility for informing treatment decisions for future patients.

The average business in the U.S. has a life expectancy lower than people living in poverty in sub-Saharan Africa. The tragedy is that the suffering and premature death from the silent killers of businesses is preventable with the right diagnostics and strategies.

The tools included in this book help managers know when to stay the strategic course and when and how to change direction. The closest thing to a crystal ball in business will be yours from the:

self-assessments

knowledge of lifecycle analysis and

strategies tailored to transition and succeed in each lifecycle stage.

You'll anticipate changes in markets and competitive behaviors and know what actions should and shouldn't be taken. Whether for your business, investment portfolio or career, after reading this book, you'll find more valuable insights and opportunities in each day's news.

To make lifecycle analysis even more powerful, we've included a simple copyrighted seven step validation method. Case studies based on extensive research on scores of firms drawn from dozens of industries provide real world examples with loads of graphs and tables using actual data.

Imagine when you put lifecycle analysis to work for you:

Joining the organization where your career can soar;

Building a team of top performers;

Choosing the right business partners;

Recognizing if a competitor poses a serious threat;

Knowing when to buy and when to sell; and

Hitting your financial targets consistently;

Start leading your business and career to a long and prosperous life.