Trial Design and Analysis with Incomplete Paired Data

Adaptive Superiority and Noninferiority Trial Design with Paired Binary Data

Corresponding Author: Jing Wang Boston University, Boston, MA, USA Email: [email protected] Abstract: Non-inferiority of a diagnostic test to the standard is a common issue in medical research. For instance, we may be interested in determining if a new diagnostic test is noninferior to the standard reference test because the new test might be inexpensive to the extent that some small inferior margi...

[Paired case-control design and data analysis].

Diseñ o de casos y controles apareado y aná lisis de datos Paired case-control design and data analysis estimació n de la OR es el que se efectú a para datos no apareados. Como ejemplo, veamos el estudio de la asociació n entre el consumo de patatas y la enfermedad (tabla 1). Los autores estiman OR de 8,27 (intervalo de confianza del 95% [IC95%]: 3,43–20,37), que resultaría de realizar el cá lc...

Marginal Analysis of A Population-Based Genetic Association Study of Quantitative Traits with Incomplete Longitudinal Data

A common study to investigate gene-environment interaction is designed to be longitudinal and population-based. Data arising from longitudinal association studies often contain missing responses. Naive analysis without taking missingness into account may produce invalid inference, especially when the missing data mechanism depends on the response process. To address this issue in the ana...

Image Reconstruction from Incomplete Data

Modeling Paired Ordinal Response Data

 About 25 years ago, McCullagh proposed a method for modeling univariate ordinal responses. After publishing this paper, other statisticians gradually extended his method, such that we are now able to use more complicated but efficient methods to analyze correlated multivariate ordinal data, and model the relationship between these responses and host of covariates. In this paper, we aim to...