scholarly journals A Semiparametric Sequential Ordinal Model with Applications to Analyse First Birth Intervals

2016 ◽  
Vol 38 (2) ◽  
Author(s):  
Lawrence Kazembe
Keyword(s):  
Mixed Model ◽  
Penalized Splines ◽  
First Birth ◽  
Cross Sectional Survey ◽  
Birth Intervals ◽  
Cross Sectional ◽  
Mixed Model Approach ◽  
Smooth Effects ◽  
Conditional Autoregressive ◽  
Model Approach

A semiparametric sequential ordinal model is proposed to analyze socio-demographic and spatial determinants of first birth intervals after marriage. Random effects are introduced to capture spatially structured and unstructured latent covariates. The structured effects are modelled by assuming conditional autoregressive priors, and for the unstructured effects we use an exchangeable Gaussian prior, while the smooth effects of continuous covariatesare modelled by penalized splines. Inference is based on the mixed model approach. The model is applied to data from a cross-sectional survey. Compared to a spatial parametric predictor, the spatial semiparametric model better fits the data.

scholarly journals A Fumonisin Prevention Tool for Targeting and Ranking Agroclimatic Conditions Favoring Exposure in French Maize-Growing Areas

Toxins ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 214
Author(s):  
Agathe Roucou ◽  
Christophe Bergez ◽  
Benoît Méléard ◽  
Béatrice Orlando
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Fusarium Verticillioides ◽  
Agricultural Practices ◽  
Climatic Conditions ◽  
Agricultural Cooperatives ◽  
Mixed Model Approach ◽  
Food And Feed ◽  
Model Approach

The levels of fumonisins (FUMO)—mycotoxins produced by Fusarium verticillioides—in maize for food and feed are subject to European Union regulations. Compliance with the regulations requires the targeting of, among others, the agroclimatic factors influencing fungal contamination and FUMO production. Arvalis-Institut du végétal has created a national, multiyear database for maize, based on field survey data collected since 2003. This database contains information about agricultural practices, climatic conditions and FUMO concentrations at harvest for 738 maize fields distributed throughout French maize-growing regions. A linear mixed model approach highlights the presence of borers and the use of a late variety, high temperatures in July and October, and a water deficit during the maize cycle as creating conditions favoring maize contamination with Fusarium verticillioides. It is thus possible to target a combination of risk factors, consisting of this climatic sequence associated with agricultural practices of interest. The effects of the various possible agroclimatic combinations can be compared, grouped and classified as promoting very low to high FUMO concentrations, possibly exceeding the regulatory threshold. These findings should facilitate the creation of a national, informative and easy-to-use prevention tool for producers and agricultural cooperatives to manage the sanitary quality of their harvest.

scholarly journals Male and female fertility and hatchability in chickens: a longitudinal mixed model approach

2004 ◽  
Vol 83 (8) ◽  
pp. 1253-1259 ◽  
Author(s):  
R.L. Sapp ◽  
R. Rekaya ◽  
I. Misztal ◽  
T. Wing
Keyword(s):  
Mixed Model ◽  
Female Fertility ◽  
Male And Female ◽  
Mixed Model Approach ◽  
Model Approach

Effects of a dance program on psychophysiological variables in hospitalized patients with depression: A mixed model approach

2021 ◽  
pp. 101857
Author(s):  
Karen Melissa Polanco Zuleta ◽  
Marina Medina-Corrales ◽  
Franciso Javier Mendoza-Farías ◽  
Claudia Cristina Santos Lozano ◽  
José Tristán ◽  
...  
Keyword(s):  
Mixed Model ◽  
Hospitalized Patients ◽  
Mixed Model Approach ◽  
Model Approach

scholarly journals Analyzing Child Malnutrition in Bangladesh: Generalized Linear Mixed Model Approach

2016 ◽  
Vol 64 (2) ◽  
pp. 163-167
Author(s):  
Tahmidul Islam ◽  
Md Golam Rabbani ◽  
Wasimul Bari
Keyword(s):  
Mixed Model ◽  
Sampling Design ◽  
Linear Mixed Model ◽  
Generalized Linear Mixed Model ◽  
Child Malnutrition ◽  
Demographic Health Survey ◽  
Factors Affecting ◽  
Mixed Model Approach ◽  
Potential Factors ◽  
Model Approach

Child malnutrition is a serious issue for overall child health and future development. Stunting is a key anthropometric indicator of child malnutrition. Because of the nature of sampling design used in Bangladesh Demographic Health Survey, 2011, responses obtained from children under same family might be correlated. Again, children residing in same cluster may also be correlated. To tackle this problem, generalized linear mixed model (GLMM), instead of usual fixed effect logistic regression model, has been utilized in this paper to find out potential factors affecting child malnutrition. Model performances have also been compared. Dhaka Univ. J. Sci. 64(2): 163-167, 2016 (July)

Biometrics and quality of life of lymphoma patients: A longitudinal mixed‐model approach

2020 ◽  
Author(s):  
Alexandra Oliveira ◽  
Eliana Silva ◽  
Joyce Aguiar ◽  
Brígida Mónica Faria ◽  
Luís Paulo Reis ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mixed Model ◽  
Mixed Model Approach ◽  
Model Approach
Sign in / Sign up

Export Citation Format

Share Document