๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Subsample ignorable likelihood for regression analysis with missing data

โœ Scribed by Roderick J. Little; Nanhua Zhang

Book ID
111039359
Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
603 KB
Volume
60
Category
Article
ISSN
0035-9254

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

NON-RESPONSE MODELS FOR THE ANALYSIS OF
NON-RESPONSE MODELS FOR THE ANALYSIS OF NON-MONOTONE IGNORABLE MISSING DATA
โœ JAMES M. ROBINS; RICHARD D. GILL ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 332 KB ๐Ÿ‘ 3 views

We discuss a new class of ignorable non-monotone missing data models -the randomized monotone missingness (RMM) models. We argue that the RMM models represent the most general plausible physical mechanism for generating non-monotone ignorable data. We show that there exists ignorable missing data pr

NON-RESPONSE MODELS FOR THE ANALYSIS OF
NON-RESPONSE MODELS FOR THE ANALYSIS OF NON-MONOTONE NON-IGNORABLE MISSING DATA
โœ JAMES M. ROBINS ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 353 KB ๐Ÿ‘ 3 views

I introduce a new class of non-ignorable non-monotone missing data models. These models are useful for investigating the sensitivity of one's estimates to untestable assumptions about the missing data process. I use the new models to analyse data from a case-control study of the effect of radiation