Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Bayesian Modeling in Ophthalmology

Bayesian Modeling in Ophthalmology

Wong Wan Ling
Li Xiang

Paperback

General Mathematics

ISBN10: 3659626384
ISBN13: 9783659626388
Publisher: Lap Lambert Academic Pub
Published: Oct 31 2014
Pages: 204
Weight: 0.67
Height: 0.47 Width: 6.00 Depth: 9.00
Language: English
The use of advanced and newly developed biostatistical methods usually lag behind their initial discovery by a period ranging from a few years to decades. Most clinical research use well-established classical statistics to make statistical inference, for example, presence of association. However, when analyzing research data with complex study designs or data structure, simply relying on classical statistical methods such as t-tests or standard procedures from generalized linear model may be inappropriate as the data may not satisfy the underlying model's assumptions. This book will introduce the use of modern Bayesian methods to address research questions encountered in different areas of clinical and epidemiological research with a focus on eye diseases. The book will analyze data with questions that may be difficult to address using classical statistics. These chapters provide valuable information for epidemiologists, clinicians, health service planners and biostatisticians.

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