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Analyzing censored cost 

Analyzing censored cost
Analyzing censored cost

Dr. Henry A. Glick

, Dr. Jalpa A. Doshi

, Dr. Seema S. Sonnad

, and Dr. Daniel Polsky

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date: 03 March 2021

This chapter describes methods for addressing the analysis of censored cost data. Sections include a description of the problems posed by the presence of missing data, the different censoring ‘mechanisms’ (missing completely at random (MCAR), missing at random (MAR), and missing not at random or nonignorably missing (MNAR)), methods for diagnosing the censoring mechanism, and methods for addressing censored cost data once the mechanism is known. Common methods (and their extensions) include the Lin 1997 and Lin 2000 methods, the Bang and Tsiatis method, the Carides regression method, and multiple imputation methods. It also reviews the literature that compares these methods and discusses how much censored data is too much.

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