Survival Analysis: Techniques for Censored and Truncated Data (Statistics for Biology and Health)

Are you an applied statistician in need of analyzing time to event data? Look no further! Our Survival Analysis: Techniques for Censored and Truncated Data book is the perfect solution. Regardless of whether your data comes from medicine, biology, public health, engineering, economics, or demography, this book is tailored to meet your needs. With a specific focus on applications in biology and medicine, our book provides you with the statistical tools necessary to tackle even the most complex survival experiments.

One of the challenges in analyzing survival experiments is dealing with censoring and truncation. Censoring refers to situations where an individual's life length is only known to occur within a certain timeframe, while truncation occurs when individuals enter the study only if they survive for a specific duration or if the event has occurred by a given date. Our book takes you through the intricacies of these issues using counting process methodology, which has led to significant advancements in the statistical theory surrounding survival experiments.

What sets our book apart is its accessibility. We understand that not everyone has an advanced mathematical background, which is why we have ensured that our complex methods are presented in a way that is easy to comprehend for applied researchers. The authors have distilled the essence of these techniques, including classical approaches not based on counting processes, and provide practical suggestions for their implementation. You'll find helpful notes throughout the book that guide you through the various methods and technical notes that explain the derivation of the techniques.

Whether you're an investigator analyzing censored or truncated life time data or a graduate student looking to deepen your knowledge in survival analysis, our book is a valuable resource. So why wait? Take your statistical analysis skills to the next level and get your copy of Survival Analysis: Techniques for Censored and Truncated Data today!

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