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Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates
We provide a comprehensive overview of latent Markov (LM) models for the analysis of
longitudinal categorical data. We illustrate the general version of the LM model which …
longitudinal categorical data. We illustrate the general version of the LM model which …
[ΒΙΒΛΙΟ][B] Latent Markov models for longitudinal data
Drawing on the authors' extensive research in the analysis of categorical longitudinal data,
this book focuses on the formulation of latent Markov models and the practical use of these …
this book focuses on the formulation of latent Markov models and the practical use of these …
Discrete latent variable models
We review the discrete latent variable approach, which is very popular in statistics and
related fields. It allows us to formulate interpretable and flexible models that can be used to …
related fields. It allows us to formulate interpretable and flexible models that can be used to …
[ΒΙΒΛΙΟ][B] Latent class analysis of survey error
PP Biemer - 2011 - books.google.com
Combining theoretical, methodological, and practical aspects, Latent Class Analysis of
Survey Error successfully guides readers through the accurate interpretation of survey …
Survey Error successfully guides readers through the accurate interpretation of survey …
Why is eradication of invasive mustelids so difficult?
We conducted two field experiments to explore the reactions of feral ferrets (Mustela furo) to
traps and bait dispensers set on pastoral farmland in central North Island, New Zealand …
traps and bait dispensers set on pastoral farmland in central North Island, New Zealand …
Assessment of school performance through a multilevel latent Markov Rasch model
An extension of the latent Markov Rasch model is described for the analysis of binary
longitudinal data with covariates when subjects are collected in clusters, such as students …
longitudinal data with covariates when subjects are collected in clusters, such as students …
Fisher's noncentral hypergeometric distribution and population size estimation problems
V Ballerini - 2021 - tesidottorato.depositolegale.it
Fisher's noncentral hypergeometric distribution (FNCH) describes a biased urn experiment
with independent draws of differently coloured balls where each colour is associated with a …
with independent draws of differently coloured balls where each colour is associated with a …
Estimating prevalence of post-war health disorders using multiple systems data
P Bhuyan, K Chatterjee - Scientific Reports, 2024 - nature.com
Effective surveillance on the long-term public health impact due to war and terrorist attacks
remains limited. Such health issues are commonly under-reported, specifically for a large …
remains limited. Such health issues are commonly under-reported, specifically for a large …
Using mixtures to model heterogeneity in ecological capture‐recapture studies
S Pledger, P Phillpot - Biometrical Journal: Journal of …, 2008 - Wiley Online Library
Modelling heterogeneity of capture is an important problem in estimating animal abundance
from capturerecapture data, with underestimation of abundance occurring if different animals …
from capturerecapture data, with underestimation of abundance occurring if different animals …
Managing an invasive predator pre-adapted to a pulsed resource: a model of stoat (Mustela erminea) irruptions in New Zealand beech forests
The stoat (Mustela erminea) is a specialist predator that evolved to exploit the unstable
populations of northern voles and lemmings. It was introduced to New Zealand, where it is …
populations of northern voles and lemmings. It was introduced to New Zealand, where it is …