We analyse the way in which spending efficiency of French departments evolved from 2007 to 2019. We use the time-dependent conditional order-m approach , which allows to account for the heterogeneity among departments, characterized by contextual variables, and to evaluate the effect of these variables. The results reveal a continuous improvement i...
Published in Journal of applied statistics
Joint modeling of associated mixed biomarkers in longitudinal studies leads to a better clinical decision by improving the efficiency of parameter estimates. In many clinical studies, the observed time for two biomarkers may not be equivalent and one of the longitudinal responses may have recorded in a longer time than the other one. In addition, t...
Published in Health Services and Outcomes Research Methodology
Multivariate binary responses from the same subject are usually correlated. For example, malnutrition of children are usually measured using ‘stunting’ (low height-for-age) and ‘wasting’ (low weight-for-age) calculated from their height, weight and age, and hence the status of being stunted may depend on the status of being wasted and vice-versa. F...
Published in Biometrics
Times between successive events (i.e., gap times) are of great importance in survival analysis. Although many methods exist for estimating covariate effects on gap times, very few existing methods allow for comparisons between gap times themselves. Motivated by the comparison of primary and repeat transplantation, our interest is specifically in co...
International audience
Published in Journal of biopharmaceutical statistics
Accelerated approval by the Food and Drug Administration (FDA), under the agency's Fast Track review designation, allows early approval of drugs to treat serious diseases and fill an unmet medical need based on a surrogate endpoint. In May 2012, FDA issued a draft Guidance for Industry on the accelerated approval of breast cancer drugs based on the...
Published in Euphytica
Determination of genetic effects for lint yield and yield components in cotton (Gossypium hirsutum L.) germplasm is critical for its utilization in breeding programs. This study was designed to apply the conditional approach and an additive and dominant model to analyze genetic effects for lint yield and yield components. Forty-eight F2 populations...
Published in The American statistician
While marginal models, random-effects models, and conditional models are routinely considered to be the three main modeling families for continuous and discrete repeated measures with linear and generalized linear mean structures, respectively, it is less common to consider non-linear models, let alone frame them within the above taxonomy. In the l...
Published in Euphytica
Dissection of the genetic relationship between lint yield and its yield components at the chromosome level may provide an additional avenue for yield enhancement in cotton (Gossypium hirsutum L.). Based on the conditional additive-dominance (AD) genetic model, we investigated the genetic structures of lint yield with its three component traits, lin...
Published in Journal of Agricultural, Biological, and Environmental Statistics
In many ecological research studies, abundance data are skewed and contain more zeros than might be expected. Often, the aim is to model abundance in terms of covariates, and to estimate expected abundance for a given set of covariate values. An approach that has been advocated recently involves the use of a conditional model. This allows one to se...
