£107.43

Springer Statistical Modelling of Survival Data with Random Effects

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Description

Advance your understanding of complex data analysis with Statistical Modelling of Survival Data with Random Effects: H-Likelihood Approach. Published by Springer as part of the Statistics for Biology and Health series, this book provides a specialized look at survival data modeling techniques. This text is designed for professionals and students working within the fields of biology and health sciences. It addresses the specific challenges found in survival analysis by focusing on the H-Likelihood approach. By integrating random effects into survival models, it offers a pathway for more accurate statistical assessments in biological research. Whether you are conducting academic research or applying statistical methods in a clinical setting, this Springer publication serves as a dedicated resource for mastering advanced modeling techniques. It fits into a broader academic framework for those needing specialized knowledge in health-related statistics and software applications.

Key Features

Part of the specialized Statistics for Biology and Health series from Springer.

Focuses on the H-Likelihood approach for advanced survival data modeling.

Addresses the use of random effects within statistical survival analysis.

Designed for researchers and students in biology and health science fields.

Provides technical insights into complex statistical modeling methods.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
11 December 2018
Listed Since
12 January 2019

Barcode

No barcode data available

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