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A transitional model of barrier methods compliance with unbalanced loss to follow‐up
Author(s) -
Chen PaiLien,
Wong Emelita,
Dominik Rosalie,
Steiner Markus J.
Publication year - 2000
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(20000115)19:1<71::aid-sim292>3.0.co;2-o
Subject(s) - outcome (game theory) , covariate , multinomial logistic regression , econometrics , statistics , logistic regression , random effects model , logit , medicine , mathematics , meta analysis , mathematical economics
Differential loss to follow‐up can substantially influence the evaluation of treatment effects on a dichotomous outcome of interest in longitudinal trials. The use of transitional models incorporating loss to follow‐up as an additional category of response and the nature of the correlated responses can provide a comprehensive view of a trial with unbalanced loss to follow‐up. Under the Markov assumption, transitional models estimate the probability of changing from one outcome to another outcome between follow‐up visits. Patterns of the response variable can be described by the estimated transition probabilities. The effects of intervention and covariates on the outcome of interest can also be estimated using a conditional likelihood function or a multinomial logit regression. Data from a randomized barrier method study designed to compare the proportion of participants using barrier methods consistently in two counselling groups are used to illustrate the proposed model. Copyright © 2000 John Wiley & Sons, Ltd.

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