By Xiao-Hua Zhou,Chuan Zhou,Danping Lui,Xaiobo Ding
A sleek and sensible consultant to the basic thoughts and concepts for examining 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 a few of the smooth statistical equipment for the research of lacking facts. The authors recognize the restrictions of verified concepts and supply newly-developed equipment with concrete purposes in parts corresponding to causal inference tools and the sector of diagnostic medicine.
Organized via varieties of info, bankruptcy insurance starts off with an total advent to the lifestyles and obstacles of lacking information and maintains into conventional options for lacking facts inference, together with likelihood-based, weighted GEE, a number of imputation, and Bayesian tools. The book’s to that end covers cross-sectional, longitudinal, hierarchical, survival info. furthermore, Applied lacking facts research within the health and wellbeing Sciences features:
- Multiple information units that may be replicated utilizing the SAS®, Stata®, R, and WinBUGS software program packages
- Numerous examples of case reviews within the box of biostatistics to demonstrate real-world eventualities and display functions of mentioned methodologies
- Detailed appendices to steer readers by using the awarded information in a number of 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 healthiness technology 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