Showing posts with label introducing. Show all posts
Showing posts with label introducing. Show all posts

Friday, June 28, 2013

Qualitative Methods for Health Research (Introducing Qualitative Methods series) Shopping


Review Qualitative Methods for Health Research (Introducing Qualitative Methods series)

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Qualitative Methods for Health Research (Introducing Qualitative Methods series)


Qualitative Methods for Health Research provides a thorough and practical introduction to designing, conducting, and appraising qualitative research. It is aimed particularly at students and researchers in fields such as public health, health services research, nursing and health promotion. Judith Green and Nicki Thorogood draw on over twenty years experience of teaching methodology to students from a range of backgrounds. They focus on applied research, but cover the essentials of theory and principles in an accessible way, with easy-to-follow guidance on how to apply core research skills to the particular contexts of health research.

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Qualitative Methods for Health Research (Introducing Qualitative Methods series) Feature






Sunday, May 5, 2013

Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis (Jones and Bartlett Series in Mathematics) Best Reviews


Best Review Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis (Jones and Bartlett Series in Mathematics)

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Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis (Jones and Bartlett Series in Mathematics)


Clinical Statistics: Introducing Clinical Trials, Survival Analysis, and Longitudinal Data Analysis provides the mathematical background necessary for students preparing for a career as a statistician in the biomedical field. The manual explains the steps a clinical statistician must take in clinical trials from protocol writing to subject randomization, to data monitoring, and on to writing a final report to the FDA. All of the necessary fundamentals of statistical analysis: survival and longitudinal data analysis are included. SAS procedures are explained with simple examples and the mathematics behind these procedures are covered in detail. Complete codes are given for every example found in the text. The exercises featured throughout the guide are both theoretical and applied making it appropriate for those moving on to different clinical settings. Students will find Clinical Statistics to be a handy lab reference for coursework and in their future careers.

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