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Essential Statistical Methods for Medical Statistics (Hardcover): J.Philip Miller Essential Statistical Methods for Medical Statistics (Hardcover)
J.Philip Miller
R2,195 Discovery Miles 21 950 Ships in 12 - 17 working days

Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009).

While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their respective areas.

. Contributors are internationally renowned experts in their respective areas . Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research . Methods for assessing Biomarkers, analysis of competing risks . Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs . Structural equations modelling and longitudinal data analysis"

We All Sing With the Same Voice (Paperback): J.Philip Miller We All Sing With the Same Voice (Paperback)
J.Philip Miller; Illustrated by Paul Meisel; Sheppard M. Greene
R310 R267 Discovery Miles 2 670 Save R43 (14%) Ships in 10 - 15 working days

We all sing with the same voice, And we sing in harmony! The familiar words to this joyful song combine with vibrant illustrations to celebrate the idea that no matter where children live, what they look like, or what they do, they're all the same where it counts: at heart. "We All Sing with the Same Voice" was aired and continues to be seen on Sesame Street, the beloved educational children's television show produced by Sesame Workshop, the nonprofit educational organization. The book is perfect for classroom use, as children will enjoy singing along. Please note that this paperback edition does not come with a CD of the song. "We All Sing with the Same Voice" is a vital and celebratory message of inclusion and respect.

Epidemiology and Medical Statistics, Volume 27 (Hardcover, 27th edition): C.R. Rao, J.Philip Miller, D.C. Rao Epidemiology and Medical Statistics, Volume 27 (Hardcover, 27th edition)
C.R. Rao, J.Philip Miller, D.C. Rao
R4,631 Discovery Miles 46 310 Ships in 12 - 17 working days

This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular have gone through a see of change, spawning the development of new methods and innovative adaptations of standard methods. Since the literature is highly scattered, the Editors have undertaken this humble exercise to document a representative collection of topics of broad interest to diverse users. The volume spans a cross section of standard topics oriented toward users in the current evolving field, as well as special topics in much need which have more recent origins. This volume was prepared especially keeping the applied statisticians in mind, emphasizing applications-oriented methods and techniques, including references to appropriate software when relevant.
- Contributors are internationally renowned experts in their respective areas
- Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research
- Methods for assessing Biomarkers, analysis of competing risks
- Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs
- Structural equations modelling and longitudinal data analysis

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