Titlebook: Innovative Statistical Methods for Public Health Data; Ding-Geng (Din) Chen,Jeffrey Wilson Book 2015 The Editor(s) (if applicable) and The

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On the Effects of Structural Zeros in Regression Models a study population of interest. For example, drinking outcomes such as the number of days of any alcohol drinking (DAD) over a period of time are often used to assess alcohol use in alcohol studies. A DAD value of 0 for a subject could mean that the subject was continually abstinent from drinking s

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A Continuous Latent Factor Model for Non-ignorable Missing Datare ignorable. However, this assumption leads to unrealistic simplification and is implausible for many cases. When non-ignorable missingness is preferred, classical pattern-mixture models with the data stratified according to a variety of missing patterns and a model specified for each stratum are w

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Metamorphosis

Standardization and Decomposition Analysis: A Useful Analytical Method for Outcome Difference, Inequtions with difference in composition. The method can be readily applied to many other research fields. SDA decomposes the observed outcome difference between populations into component effects that are attributed to: (1) the “real” outcome difference; and (2) compositional difference of specific con

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Cusp Catastrophe Modeling in Medical and Health Researche approach. In response to this need, we introduced the cusp catastrophe modeling method, including the general principle and two analytical approaches to statistically solving the model for actual data analysis: (1) the polynomial regression method and (2) the likelihood estimation method, with the

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On Ranked Set Sampling Variation and Its Applications to Public Health Researche distinct characteristics of the population. One of the most common mechanisms to obtain such data is the simple random sample (SRS). In practice, a more structured sampling mechanism, such as stratified sampling, cluster sampling or systematic sampling, may be obtained to achieve a representative

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Weighted Multiple Testing Correction for Correlated Endpoints in Survival Datated multiple testing adjustment methods have been proposed to control family-wise type I error rates either only consider the correlation among continuous or binary endpoints or totally disregard the correlation among the endpoints. For continuous or binary endpoints, the correlation matrix can be d