Titlebook: Interdisciplinary Statistics in Mexico; AME Virtual Meeting, Isadora Antoniano-Villalobos,Ruth Fuentes-García,S Conference proceedings 2022

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Characterizing Groups Using Latent Class Mixed Models: Antiretroviral Treatment Adherence Analysis,aphic characteristics associated with these adherence classes could help pinpoint patients more likely to show decreasing adherence profiles. Additionally, within each of the adherence groups, a further latent class?analysis?with a bivariate response is used to characterize the joint behavior of CD4

Immunoglobulin

perjury

,Social Lag in?the?Municipalities of?the?State of?Guerrero, México,ivation. CONEVAL’s results are based on principal component analysis?and the Dalenius–Hodges?technique. For the analysis, it uses the first linear combination of eleven indicators related to educational lag, access to health services, quality and spaces of the home, basic services in the home, and h

sterilization

,Challenges in?Performing the?Quick Counts of?the?National Electoral Institute in?Mexico,hat accompany the electoral processes in Mexico. Quick counts?were initially conceived to produce estimates of the results of the Presidential elections; at present, these statistical exercises are used to estimate the integration of the federal chamber of deputies as well as the results of the elec

Etching

,Sampling Design and?Poststratification to?Correct Lack of? Information ?in? Bayesian ?Quick Counts,tions?are used and quantification of the estimation error is obtained. However, in practice, information is gathered gradually with no guarantee of obtaining the whole designed sample. If the original strata are also study domains, incomplete samples?worsen the problem because there might be strata

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