Titlebook: New Developments in Statistical Modeling, Inference and Application; Selected Papers from Zhezhen Jin,Mengling Liu,Xiaolong Luo Conference

JOG

Ming-Dauh Wang,Dominique A. Williams,Elisa V. Gomez,Jyoti N. Rayamajhiuliert werden. Hergeleitet werden lineare rekursive Filter, die kausal sind und deren Ausgang bereits vom Einschaltzeitpunkt an optimal ist. Durch die Benutzung von Zustandsvariablen entfällt der bei der Bestimmung der Gewichtsfunktion des Wiener-Kolmogoroff-Filters notwendige Umweg über den Frequen

同位素

Deli Wang,Lu Cui,Lanju Zhang,Bo Yangein Schätzproblem vorliegen kann. Der Ansatz für das signalangepaßte Filter (siehe Kapitel 7) wurde bereits als binäres Entscheidungsproblem formuhert. Das signalangepaßte Filter soll bei gestörtem Eingang zu einem Ausgang führen, der eine möglichst sichere, d.h. fehlerfreie Entscheidung erlaubt. Fü

Arbitrary

Dual Model Misspecification in Generalized Linear Models with Error in Variablese distribution of the error-prone covariate or the link function is misspecified. We revisit the remeasurement method proposed by Huang et al. (Biometrika 93:53–64, 2006) for detecting latent-variable model misspecification and examine its operating characteristics in the presence of link misspecifi

不容置疑

Joint Analysis of Longitudinal Data and Informative Observation Times with Time-Dependent Random Effroaches assume that the observation or follow-up times are independent of the response process either completely or given some covariates. In practice, it is apparent that this may not be true. We present a joint analysis approach that allows the possible mutual correlations that can be characterize

NEX

Femine

MILK

Futility Boundary Design Based on Probability of Clinical Success Under New Drug Development Paradigpy. However, an increasing emphasis is placed on a medical and payer perspective, where the value of a new therapy is generally measured by the magnitude of treatment effect based on point estimates. It is often the case that the magnitude of point estimates to demonstrate sufficient medical value i

细微的差异

Bayesian Modeling of Time Response and Dose Response for Predictive Interim Analysis of a Clinical T interim futility analysis of a trial. Longitudinal data were collected for a range of the studied doses. Bayesian analysis was first conducted to predict observations at the end of treatment for patients not yet followed through treatment, based on all interim observed data. The predicted data in c

MIR

Projection