✦ LIBER ✦

A comparison of models for clustered binary outcomes: analysis of a designed immunology experiment

✍ Scribed by Rebecca A. Betensky; Paige L. Williams; Howard M. Lederman

Book ID: 108547889
Publisher: John Wiley and Sons
Year: 2001
Tongue: English
Weight: 247 KB
Volume: 50
Category: Article
ISSN: 0035-9254
DOI: 10.1111/1467-9876.00219

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Analysis of a cluster randomized trial w

Analysis of a cluster randomized trial with binary outcome data using a multi-level model

✍ Rumana Z. Omar; Simon G. Thompson 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 112 KB 👁 3 views

A multilevel model framework for meta-an

A multilevel model framework for meta-analysis of clinical trials with binary outcomes

✍ Rebecca M. Turner; Rumana Z. Omar; Min Yang; Harvey Goldstein; Simon G. Thompson 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 112 KB 👁 3 views

A COMPARISON OF STATISTICAL METHODS FOR

A COMPARISON OF STATISTICAL METHODS FOR CLUSTERED DATA ANALYSIS WITH GAUSSIAN ERROR

✍ ZIDING FENG; DALE McLERRAN; JAMES GRIZZLE 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 868 KB

We investigate by simulation the properties of four different estimation procedures under a linear model for correlated data with Gaussian error: maximum likelihood based on the normal mixed linear model; generalized estimating equations; a four-stage method, and a bootstrap method that resamples cl

Statistical analysis of randomized exper

Statistical analysis of randomized experiments with non-ignorable missing binary outcomes: an application to a voting experiment

✍ Kosuke Imai 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 808 KB

A comparison of clustering methods for r

A comparison of clustering methods for river benthic community analysis

✍ Yong Cao; , Anthony W. Bark; W. Peter Williams 📂 Article 📅 1997 🏛 Springer 🌐 English ⚖ 629 KB

A comparison of mixed effects logistic r

A comparison of mixed effects logistic regression models for binary response data with two nested levels of clustering

✍ Thomas R. Ten Have; Allen R. Kunselman; Luan Tran 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 111 KB 👁 3 views

We compare mixed effects logistic regression models for binary response data with two nested levels of clustering. The comparison of these models occurs in the context of developmental toxicity data sets, for which multiple types of outcomes (first level) are measured on each rat pup (second level)