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[null,"1.","Record Nr.",null,"UNISA996213965003316"]
[null,null,"Autore",null,"Peat Jennifer K"]
[null,null,"Titolo",null,"Medical statistics [[electronic resource] ] : a guide to data analysis and critical appraisal / / by Jennifer Peat,  Belinda Barton ; foreword by Martin Bland"]
[null,null,"Pubbl/distr/stampa",null,"Malden, Mass., : Blackwell Pub., c2005"]
[null,null,"ISBN",null,"1-281-32053-6"]
[{"$nulls":4},"9786611320539"]
[{"$nulls":4},"0-470-75520-2"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (338 p.)"]
[null,null,"Disciplina",null,"610/.72/7"]
[null,null,"Soggetti",null,"Medical statistics"]
[{"$nulls":4},"Medicine - Research - Statistical methods"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Data management: preparing to analyse the data -- Continuous variables: descriptive statistics -- Continuous variables: comparing two independent samples -- Continuous variables: paired and one-sample t-tests -- Continuous variables: analysis of variance -- Continuous data analyses: correlation and regression -- Categorical variables: rates and proportions -- Categorical variables: risk statistics -- Categorical and continuous variables: tests of agreement -- Categorical and continuous variables: diagnostic statistics -- Categorical and continuous variables: survival analyses."]
[null,null,null,"Sommario/riassunto","Holistic approach to understanding medical statistics This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research.   Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs.   Showing you how to:analyse data with the help of data set examples (Click here to download datasets) s"]