✦ LIBER ✦

NON-RESPONSE MODELS FOR THE ANALYSIS OF NON-MONOTONE IGNORABLE MISSING DATA

✍ Scribed by JAMES M. ROBINS; RICHARD D. GILL

Publisher: John Wiley and Sons
Year: 1997
Tongue: English
Weight: 332 KB
Volume: 16
Category: Article
ISSN: 0277-6715
DOI: 10.1002/(sici)1097-0258(19970115)16:1<39::aid-sim535>3.0.co;2-d

No coin nor oath required. For personal study only.

✦ Synopsis

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 processes that are not RMM. We argue that it may therefore be inappropriate to analyse non-monotone missing data under the assumption that the missingness mechanism is ignorable, if a statistical test has rejected the hypothesis that the missing data process is RMM representable. We use RMM models to analyse data from a case-control study of the e ects of radiation on breast cancer.

📜 SIMILAR VOLUMES

NON-RESPONSE MODELS FOR THE ANALYSIS OF

NON-RESPONSE MODELS FOR THE ANALYSIS OF NON-MONOTONE NON-IGNORABLE MISSING DATA

✍ JAMES M. ROBINS 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 353 KB 👁 2 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

ANALYSIS OF SEMI-PARAMETRIC REGRESSION M

ANALYSIS OF SEMI-PARAMETRIC REGRESSION MODELS WITH NON-IGNORABLE NON-RESPONSE

✍ ANDREA ROTNITZKY; JAMES ROBINS 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 427 KB 👁 1 views

In this article we consider the problem of making inferences about the parameter indexing the conditional mean of an outcome given a vector of regressors when a subset of the variables (outcome or covariates) are missing for some study subjects and the probability of non-response depends upon both o

An imputation method for non-ignorable m

An imputation method for non-ignorable missing data in studies of blood pressure

✍ Nancy R. Cook 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 187 KB 👁 1 views

In studies with repeated measures of blood pressure (BP), particularly in trials of hypertension prevention, BP measurements often become censored once a participant commences antihypertensive medication. When prescribed by non-study physicians under uncontrolled conditions, the missing data mechani

Estimating the incidence of dementia fro

Estimating the incidence of dementia from two-phase sampling with non-ignorable missing data

✍ Sujuan Gao; Siu L. Hui 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 82 KB 👁 1 views

Two-phase sampling designs have been used in the ÿeld of psychiatry to estimate prevalence and incidence of a rare disease such as dementia and Alzheimer's disease. In a longitudinal study on dementia, since the repeated two-phase sampling is conducted several years after the baseline wave, some sub

Characterization of the response to myel

Characterization of the response to myelin basic protein in a non human primate model for multiple sclerosis

✍ Antonio Uccelli; Debora Giunti; Gianluigi Mancardi; Francesco Caroli; Marialuce 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 192 KB 👁 2 views

The common marmoset Callithrix jacchus (C. jacchus) is an outbred species characterized by a naturally occurring bone marrow chimerism and susceptibility to a form of experimental autoimmune encephalomyelitis (EAE) resembling multiple sclerosis (MS). T cell clones specific for the myelin antigen, my

Development of non-iterative self correc

Development of non-iterative self correcting solution (NONSS) method for the viscoplastic analysis with the Chaboche model

✍ P. Chellapandi; R. S. Alwar 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 356 KB 👁 1 views

In a finite element program for the viscoplastic analysis with Chaboche model, the non-iterative and self-correcting solution (NONSS) method, proposed by Tanaka and Miller has been implemented. Towards this, the necessary Jacobian coefficients have been derived analytically for the sophisticated 23-