Controlled epidemiological studies / by Marie Reilly.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- unmediated
- volume
- 9780367186784
- 9781032458182
- 614.4 23/eng/20230313
- RA652.2.M3 R45 2023
- WA 950
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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Nepal Health Research Council Book Cart | Reference | WA 950/REI/2023 (Browse shelf(Opens below)) | Available | 002339 |
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No cover image available | ||
WA 950/ASC/2008 Essentials of epidemiology in public health / | WA 950/COO/2008 Introduction to statistical methods for clinical trials / | WA 950/HUL/2013 Designing clinical research / | WA 950/REI/2023 Controlled epidemiological studies / | WB 60/MOR/2019 Health care ethics : critical issues for the 21st century / | WB 925/PUL/2015 Evidence-based validation of herbal medicine / | WC 100/NEL/2000 Infectious disease epidemiology : theory and practice / |
Book.
Includes bibliographical references and index.
"This book covers classic epidemiological designs that use a reference/control group, including case-control, case-cohort, nested case-control and variations of these designs, such as stratified and two-stage designs. It presents a unified view of these sampling designs as representations of an underlying cohort or target population of interest. This enables various extended designs to be introduced and analysed with a similar approach: extreme sampling on the outcome (extreme case-control design) or on the exposure (exposure-enriched, exposure-density, countermatched), designs that re-use prior controls and augmentation sampling designs. Further extensions exploit aggregate data for efficient cluster sampling, accommodate time-varying exposures and combine matched and unmatched controls. Self-controlled designs, including case-crossover, self-controlled case series and exposure-crossover, are also presented. The test-negative design for vaccine studies and the use of negative controls for bias assessment are introduced and discussed. This book is intended for graduate students in biostatistics, epidemiology and related disciplines, or for health researchers and data analysts interested in extending their knowledge of study design and data analysis skills"-- Provided by publisher.
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