Given the specific geographic and spatial location of rural areas in developing countries, to bring agrochemical to the rural farming households, it is argued, may have to come at a cost over and above the normal price it is sold in market. To this end, this work focuses on the willingness of rural farming households to pay more than the mean average regional retail price for agrochemicals in K...

This article deals with the relationship existing between the emotional aspect and decision-making processes. More specifically, it examines the links between emotional intelligence, decision biases and effectiveness of the governance mechanisms. The primary purposes of this article are to: consider emotional intelligence like new research ideas that make important contributions to society; off...

This study was carried out in a commercial herd from 2008 to 2012 in order to determine the most prevalent reasons for culling Holstein cows and to assess the effects of risk factors. Overall, 519 (28.2%) cows were culled for involuntary (98.8%) and voluntary (1.2%) reasons. The involuntary causes of culling were diseases (38.7%), reproduction problems (36.0%), udder disorders (7.7%), lameness ...

UNLABELLED BACKGROUND In medical and biomedical areas, binary and binomial outcomes are very common. Such data are often collected longitudinally from a given subject repeatedly overtime, which result in clustering of the observations within subjects, leading to correlation, on the one hand. The repeated binary outcomes from a given subject, on the other hand, constitute a binomial outcome, ...

Data ......................................................................................................................483 Response and Explanatory Variables ..........................................................483 Weights ............................................................................................................484 Missing Data ...........................................

Often in genetic research, presence or absence of a disease is affected by not only the trait locus genotypes but also some covariates. The finite logistic regression mixture models and the methods under the models are developed for detection of a binary trait locus (BTL) through an interval-mapping procedure. The maximum-likelihood estimates (MLEs) of the logistic regression parameters are asy...

This paper presents a case study in longitudinal data analysis where the goal is to estimate the e cacy of a new drug for treatment of a severe chronic constipation. Data consist of long sequences of binary 11 outcomes (relief=no relief) on each of a large number of patients randomized to treatment (low and high dose) or placebo. Data characteristics indicate: (1) the treatment e ects vary non-...

Background: The use of multinomial logistic regression models is advocated for modeling the associations of covariates with three or more mutually exclusive outcome categories. As compared to a binary logistic regression analysis, the simultaneous modeling of multiple outcome categories using a multinomial model often better resembles the clinical setting, where a physician typically must disti...

are extensively used in analyzing sample survey data to study the relationship between a binary response and a group of independent variables. Due to cost and efficiency considerations, stratified multistage samples are the norm. However, these samples, while efficient for estimation of the descriptive population quantities, pose challenges for model-based statistical inference. This sampling s...

The logistic regression model is the workhorse of epidemiological data analysis. The model helps to clarify the relationship between multiple exposures and a binary outcome. Logistic regression analysis is readily implemented using existing statistical software, and this has contributed to it becoming a routine procedure for epidemiologists. In this paper, the authors focus on a causal model wh...