Hasil untuk "Analysis"

A. Gelman, J. Carlin, H. Stern et al.

Andrew L. Maas, Raymond E. Daly, Peter T. Pham et al.

Jonathan A. Smith, M. Osborn

Helmut Ltkepohl

J. Shawe-Taylor, N. Cristianini

Chris Lattner, Vikram S. Adve

P. R. Bevington

O. Williamson

M. V. Boland, Robert F. Murphy

One of the goals of Current Protocols is to provide information from the very basic level to the very advanced. This unit is an excellent example of providing explanation and application for a complex area. Building upon several other units on data analysis, it provides a detailed explanation of how multivariate analytical techniques are applied to flow cytometry data. The unit deals with the covariance matrix, principal component analysis, and cluster analysis and provides sources for software as well as example data files. This material will be particularly valuable to the graduate student trying to obtain a good understanding of statistical methods in flow cytometry, as well as to the experienced investigator who uses these tools on a regular basis without really understanding how they operate. Keywords: principal components analysis; cluster analysis; FCS file format One of the goals of Current Protocols is to provide information from the very basic level to the very advanced

M Hashem Pesaran, Y. Shin, P. Boswijk et al.

J. Reddy

G. Quinn, M. Keough

Applying statistical concepts to biological scenarios, this established textbook continues to be the go-to tool for advanced undergraduates and postgraduates studying biostatistics or experimental design in biology-related areas. Chapters cover linear models, common regression and ANOVA methods, mixed effects models, model selection, and multivariate methods used by biologists, requiring only introductory statistics and basic mathematics. Demystifying statistical concepts with clear, jargon-free explanations, this new edition takes a holistic approach to help students understand the relationship between statistics and experimental design. Each chapter contains further-reading recommendations, and worked examples from today's biological literature. All examples reflect modern settings, methodology and equipment, representing a wide range of biological research areas. These are supported by hands-on online resources including real-world data sets, full R code to help repeat analyses for all worked examples, and additional review questions and exercises for each chapter.

R. Horn, Charles R. Johnson

R. Cook, D. Malkus, M. Plesha et al.

L. Hedges, I. Olkin

Fourth Edition, Averill M. Law

M. C. Jones, J. Aitchison

J. Fleiss

J. H. Danks, K. Ericsson, Herbert A. Simon

C. Metz