Applying Quantitative Bias Analysis to Epidemiologic Data (inbunden)
Format
E-bok
Filformat
EPUB med LCP-kryptering (0.0 MB)
Om LCP-kryptering
Nedladdning
Kan laddas ned under 24 månader, dock max 6 gånger.
Språk
Engelska
Utgivningsdatum
2022-03-24
Förlag
Springer International Publishing
ISBN
9783030826734

Applying Quantitative Bias Analysis to Epidemiologic Data E-bok

E-bok (LCP),  Engelska, 2022-03-24
724
Läs i Bokus Reader för iOS och Android
Finns även som
Visa alla 4 format & utgåvor
This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods.As computational power available to analysts has improved and epidemiologic problems have become more advanced, missing data, Bayes, and empirical methods have become more commonly used. This new edition features updated examples throughout and adds coverage addressing: Measurement error pertaining to continuous and polytomous variables Methods surrounding person-time (rate) data Bias analysis using missing data, empirical (likelihood), and Bayes methods A unique feature of this revision is its section on best practices for implementing, presenting, and interpreting bias analyses. Pedagogically, the text guides students and professionals through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and measurement errors, and subsequent sections extend these methods to probabilistic bias analysis, missing data methods, likelihood-based approaches, Bayesian methods, and best practices.
Visa hela texten

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

  • Modern Epidemiology

    Timothy L Lash, Tyler J Vanderweele, Sebastien Haneuse, Kenneth J Rothman

    Selected as a Doody's Core Title for 2022 and 2023! Now in a fully revised 4th Edition, Modern Epidemiology remains the gold standard text in this complex and evolving field, offering unparalleled, comprehensive coverage of the principles and meth...