You are currently browsing 21–30 of 273 new and published books in the subject of Statistics for the Biological Sciences — sorted by publish date from newer books to older books.
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Series: Chapman & Hall/CRC Biostatistics Series
In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint...
Published June 21st 2012 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Texts in Statistical Science
Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach...
Published June 3rd 2012 by Chapman and Hall/CRC
This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative binomial. The text also contains various models...
Published June 3rd 2012 by Stata Press
Series: Chapman & Hall/CRC Interdisciplinary Statistics
The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the...
Published May 8th 2012 by CRC Press
Series: Chapman & Hall/CRC Texts in Statistical Science
Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions...
Published April 16th 2012 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC The R Series
With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data,...
Published April 2nd 2012 by CRC Press
Series: Chapman & Hall/CRC Interdisciplinary Statistics
Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science—multiple imputation—fills gaps in the data with plausible values, the uncertainty of which is coded in the data...
Published March 28th 2012 by Chapman and Hall/CRC
Many new challenges have arisen in the area of oncology clinical trials. New cancer therapies are often based on cytostatic or targeted agents, which pose new challenges in the design and analysis of all phases of trials. The literature on adaptive trial designs and early stopping has been...
Published March 25th 2012 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Interdisciplinary Statistics
Recent advances in brain science measurement technology have given researchers access to very large-scale time series data such as EEG/MEG data (20 to 100 dimensional) and fMRI (140,000 dimensional) data. To analyze such massive data, efficient computational and statistical methods are required....
Published January 25th 2012 by CRC Press
Series: Chapman & Hall/CRC Biostatistics Series
The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization...
Published December 19th 2011 by Chapman and Hall/CRC
