Abstract Stochastic differential equations (SDEs) are popular tools to analyse time series data in many areas, such as mathematical finance, physics, and biology. They provide a mechanistic description of the phenomenon interest, their parameters often have clear interpretation. These advantages come at cost requiring relatively simple model specification. We propose flexible for SDEs with time...

Statistical Analysis: We utilized four publically available case/control genome wide association studies (GWAS) from dbGAP (access request # 1961) across multiple cancer types (including breast, melanoma. lung and prostate cancers)(14, 523, 524, 526-528) to determine if SNPs or haplotypes constructed from SNPs in our genes of interest are associated with a disease phenotype. Additionally, we de...

We consider generalized partially linear measurement error models when the linear covariate is measured with additive errors. Estimators of parameter and nonparametric function obtained by local liner regression with kernel weight, the SIMEX technique, and generalized estimating equation are proposed. The asymptotic normality of the estimate of the parameter and the asymptotics of the estimate ...

Meat and carcass quality attributes are of crucial importance influencing consumer preference and profitability in the pork industry. A set of 400 Berkshire pigs were collected from Dasan breeding farm, Namwon, Chonbuk province, Korea that were born between 2012 and 2013. To perform genome wide association studies (GWAS), eleven meat and carcass quality traits were considered, including carcass...

MRDDV model is a regression based approach to model the unexpected events. In this paper, we use the MRDDV model as the covariate effect in the covariate induced processes. So far, most of the failure and survivability models used are designed under the static environment that does not provide the appropriate result to find out the risk factor as the experiments are done inside the laboratory e...

We investigate the fitting of response curves in the presence of a continuous covariate. A model is presented in which the expected random response curves, viewed as functions of time and conditional on the covariate, are products of a smooth mean function of time and a smooth function of the covariate. We propose a simple and straightforward estimation scheme for the component functions of the...

the data set used in this study contained 8793 records of lamb's longevity (days) from 320 sires and 2349 dams collected during 1989 to 2014, from the lori-bakhtiari flock at shooli station in shahrekord, iran. genetic parameters (partitioned into autosomal, sex-linked and maternal) and breeding values of cumulative lamb's longevity from birth up to yearling age (at 1, 2, 3, 6, 9 and ...

With the increasing availability of observational data from different sources at a global level, joint analysis of these data is becoming especially attractive. For such an analysis – oftentimes with little prior knowledge about local and global interactions between the different observational variables at hand – an exploratory, data-driven analysis of the data may be of particular relevance. I...

BACKGROUND Cox proportional hazard model is a popular choice in modeling the survival data, but sometimes proportionality assumption is not satisfied. One of the tools for handling the non-proportional effects is the multiplicative-additive model named "Cox-Aalen model". Recently these flexible regression models developed for competing risks setting. The aim of this paper is showing the applica...

The objective of this study was to investigate the importance of maternal genetic effects on postweaning performance traits of Yorkshire, Landrace, Duroc, and Hampshire breeds of swine. Data consisted of performance test records collected in a commercial swine operation from 1992 to 1999. Boars from 60% of the litters were culled at weaning based on a combination of maternal and performance ind...