Isbn: 9781449604752 - epidemiology and biostatistics: . (study guide to epidemiology and biostatistics) (9 Ergebnisse)

Zustand: good. The cover shows wear with possible indentations, creases, and small tears. The pages show wear that may include evidence of handling, smudges, and edge discoloration markings stains . The book may or may not have mild corner dings. The imagery is a stock photo of the item.

Paperback. Zustand: Very Good. 7. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Workbook.

Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Paperback. Zustand: Very Good. 7. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Workbook.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. Num Pages: 224 pages, black & white line drawings, black & white tables. BIC Classification: MBNS; MRG. Category: (P) Professional & Vocational. Dimension: 155 x 229 x 12. Weight in Grams: 330. . 2011. 7th Edition. Paperback. . . . . Books ship from the US and Ireland.

Kartoniert / Broschiert. Zustand: New. &Uumlber den AutorProfessor, Department of Epidemiology and Public Health, University of Maryland, School of Medicine, Baltimore, MarylandKlappentextHelp your students understand some of the most elusive fund.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware - Help your students understand some of the most elusive fundamentals of epidemiology and biostatistics with this fully updated revision of the bestselling study guide to Epidemiology and Biostatistics. The Seventh Edition offers expanded chapters as well as coverage of a number of new topics that have become prevalent in the medical literature such as: receiver-operator curve analysis to improve sensitivity/specificity; the power of a statistical test; one-tailed P values; comparison-wise significance levels versus study-wise significance levels; confidence interval and its relationship to statistical significance; Meta-analysis with current methods for assessing heterogeneity and the potential for publication bias; the use of propensity scoring to reduce bias in non-experimental studies.…