✦ LIBER ✦

Nonlinear Random-Effects Mixture Models for Repeated Measures

✍ Scribed by Codd, Casey L.; Cudeck, Robert

Book ID: 121550833
Publisher: Springer
Year: 2013
Tongue: English
Weight: 674 KB
Volume: 79
Category: Article
ISSN: 0033-3123
DOI: 10.1007/s11336-013-9358-9

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Random-effects models for multivariate r

Random-effects models for multivariate repeated measures

✍ Fieuws, S.; Verbeke, G.; Molenberghs, G. 📂 Article 📅 2007 🏛 SAGE Publications 🌐 English ⚖ 410 KB

Almost nonparametric inference for repea

Almost nonparametric inference for repeated measures in mixture models

✍ T. P. Hettmansperger; Hoben Thomas 📂 Article 📅 2000 🏛 Blackwell Publishing 🌐 English ⚖ 227 KB

Score Tests for Fixed Effects and Overdi

Score Tests for Fixed Effects and Overdispersion Components in Nonlinear Models for Repeated Measures

✍ K. Das; B.C. Sutradhar 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 679 KB

NONLINEAR MODELS FOR REPEATED MEASUREMEN

NONLINEAR MODELS FOR REPEATED MEASUREMENT DATA.

✍ L. T. SKOVGAARD 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 200 KB 👁 2 views

Saturated models for repeated measures

✍ Gordon G. Bechtel; André I. Khuri 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 574 KB

MIXTURE MODELS FOR THE JOINT DISTRIBUTIO

MIXTURE MODELS FOR THE JOINT DISTRIBUTION OF REPEATED MEASURES AND EVENT TIMES

✍ JOSEPH W. HOGAN; NAN M. LAIRD 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 548 KB

Many long-term clinical trials collect both a vector of repeated measurements and an event time on each subject; often, the two outcomes are dependent. One example is the use of surrogate markers to predict disease onset or survival. Another is longitudinal trials which have outcome-related dropout.