By Xiao-Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding
A glossy and functional advisor to the basic ideas and concepts for interpreting facts with lacking observations within the box of biostatistics
With an emphasis on hands-on applications, utilized lacking facts research within the future health Sciences outlines many of the sleek statistical equipment for the research of lacking information. The authors recognize the constraints of validated ideas and supply newly-developed equipment with concrete functions in components resembling causal inference tools and the sphere of diagnostic medicine.
Organized via different types of info, bankruptcy assurance starts with an total creation to the lifestyles and boundaries of lacking info and maintains into conventional options for lacking facts inference, together with likelihood-based, weighted GEE, a number of imputation, and Bayesian equipment. The book’s in this case covers cross-sectional, longitudinal, hierarchical, survival facts. furthermore, Applied lacking information research within the overall healthiness Sciences features:
- Multiple info units that may be replicated utilizing the SAS®, Stata®, R, and WinBUGS software program packages
- Numerous examples of case stories within the box of biostatistics to demonstrate real-world situations and display purposes of mentioned methodologies
- Detailed appendices to steer readers by utilizing the provided info in quite a few software program environments
Applied lacking facts research within the well-being Sciences is a wonderful textbook for upper-undergraduate and graduate-level biostatistics classes in addition to an ideal resource for health and wellbeing technological know-how researchers and utilized statisticians.
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Additional info for Applied Missing Data Analysis in the Health Sciences (Statistics in Practice)
Applied Missing Data Analysis in the Health Sciences (Statistics in Practice) by Xiao-Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding