Comments on "A boundary-optimized rejection region test for the two-sample binomial problem".
Published in Statistics in medicine
Response to letter by Antonio Martín Andrés on "A boundary-optimized rejection region test for the two-sample binomial p...
Published in Statistics in medicine
An efficient and robust method for analyzing population pharmacokinetic data in genome-wide pharmacogenomic studies: a g...
Published in Statistics in medicine
Powerful array-based single-nucleotide polymorphism-typing platforms have recently heralded a new era in which genome-wide studies are conducted with increasing frequency. A genetic polymorphism associated with population pharmacokinetics (PK) is typically analyzed using nonlinear mixed-effect models (NLMM). Applying NLMM to large-scale data, such ...
Improving likelihood-based inference in control rate regression.
Published in Statistics in medicine
Control rate regression is a diffuse approach to account for heterogeneity among studies in meta-analysis by including information about the outcome risk of patients in the control condition. Correcting for the presence of measurement error affecting risk information in the treated and in the control group has been recognized as a necessary step to...
A Bayesian approach for analyzing zero-inflated clustered count data with dispersion.
Published in Statistics in medicine
In practice, count data may exhibit varying dispersion patterns and excessive zero values; additionally, they may appear in groups or clusters sharing a common source of variation. We present a novel Bayesian approach for analyzing such data. To model these features, we combine the Conway-Maxwell-Poisson distribution, which allows both overdispersi...
A threshold-free summary index of prediction accuracy for censored time to event data.
Published in Statistics in medicine
Prediction performance of a risk scoring system needs to be carefully assessed before its adoption in clinical practice. Clinical preventive care often uses risk scores to screen asymptomatic population. The primary clinical interest is to predict the risk of having an event by a prespecified future time t0 . Accuracy measures such as positive pred...
Simultaneous inference for factorial multireader diagnostic trials.
Published in Statistics in medicine
We study inference methods for the analysis of multireader diagnostic trials. In these studies, data are usually collected in terms of a factorial design involving the factors Modality and Reader. Furthermore, repeated measures appear in a natural way since the same patient is observed under different modalities by several readers and the repeated ...
Validating effectiveness of subgroup identification for longitudinal data.
Published in Statistics in medicine
In clinical trials and biomedical studies, treatments are compared to determine which one is effective against illness; however, individuals can react to the same treatment very differently. We propose a complete process for longitudinal data that identifies subgroups of the population that would benefit from a specific treatment. A random effects ...
Circular-circular regression model with a spike at zero.
Published in Statistics in medicine
With reference to a real data on cataract surgery, we discuss the problem of zero-inflated circular-circular regression when both covariate and response are circular random variables and a large proportion of the responses are zeros. The regression model is proposed, and the estimation procedure for the parameters is discussed. Some relevant test p...
Direct likelihood inference on the cause-specific cumulative incidence function: A flexible parametric regression modell...
Published in Statistics in medicine
In a competing risks analysis, interest lies in the cause-specific cumulative incidence function (CIF) that can be calculated by either (1) transforming on the cause-specific hazard or (2) through its direct relationship with the subdistribution hazard. We expand on current competing risks methodology from within the flexible parametric survival mo...
