TASK DEFINITION: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
PROBLEM: It is common in public health and epidemiology that the outcome of interest is counts of events occurrence. Analysing these data using classical linear models is mostly inappropriate, even after transformation of outcome variables due to overdispersion. Zero-adjusted mixture count models such as zero-inflated and hurdle count models are applied to count data when over-dispersion and excess zeros exist. Main objective of the current paper is to apply such models to analyse risk factors associated with human helminths (S. haematobium) particularly in a case where there's a high proportion of zero counts.", 'The data were collected during a community-based randomised control trial assessing the impact of mass drug administration (MDA) with praziquantel in Malawi, and a school-based cross sectional epidemiology survey in Zambia. Count data models including traditional (Poisson and negative binomial) models, zero modified models (zero inflated Poisson and zero inflated negative binomial) and hurdle models (Poisson logit hurdle and negative binomial logit hurdle) were fitted and compared.', 'Using Akaike information criteria (AIC), the negative binomial logit hurdle (NBLH) and zero inflated negative binomial (ZINB) showed best performance in both datasets. With regards to zero count capturing, these models performed better than other models.

SOLUTION: Do zero adjusted models with applications to analysing helminths count data?

PROBLEM: Hostility may be associated with greater systemic inflammation. However, contradictory evidence exists. Certain individuals or dimensions of hostility may be more susceptible to these effects. Main and interactive effects of hostility with sex and/or age were evaluated on markers of inflammation, independently of traditional risk factors for coronary artery disease.', '199 healthy men (81) and women (118), aged 20-64 years (M=41 ± 11 years) were recruited. Hostility was assessed using the Cook-Medley Hostility Inventory (CMHo) and ecological momentary assessments (EMA) of quarrelsome behavior and angry affect in daily living. Blood samples were drawn to measure inflammatory activity (Il-6, TNF-α, hsCRP, Il-8, Il-10, Il-18, MCP-1) and lipid oxidation (Myeloperoxidase; MPO). Correlations and hierarchical regression analyses were performed controlling for pertinent behavioral, psychological, medical, and socio-demographic factors.', 'Significant univariate associations emerged between CMHo and Il-6, TNF-α, MCP-1 (p<.05). Hierarchical regressions showed interactions of hostility with sex (Il-6, TNF-α; p<.05) and age (hsCRP, Il-6, TNF-α; p<.05). For example, in simple slope analyses, hostility was positively related to TNF-α in women (b=0.009, p=0.006) but not men. Greater hostility was also related to greater Il-6 levels among younger women (b=. 027, p=0.000).

SOLUTION: Is the relation between hostility and concurrent levels of inflammation sex , age , and measure dependent?

PROBLEM: B-type natriuretic peptide (BNP) correlates with cardiac filling pressures and outcomes in patients with heart failure. In heart transplant recipients, we hypothesize that a within-individual change in BNP over time would be more helpful than absolute BNP in detecting International Society of Heart and Lung Transplantation (ISHLT) grade 2R or greater rejection.', 'N-terminal pro-BNP (NT-proBNP) levels were measured in 146 consecutive transplant recipients undergoing routine endomyocardial biopsies. In the cross-sectional analysis, multiple observations per individual were accounted for using generalized estimation equations.', "A cross-sectional analysis demonstrated a weak association between NT-proBNP levels and rejection, with an odds ratio (OR) of 1.01 for every 100-pg/mL increase in NT-proBNP (p = 0.02). However, with a doubling of an individual's NT-proBNP level, the OR for significant rejection was 2.9 (95% confidence interval [CI] 1.2-7.0), the OR with a 5-fold increase was 9.1 (95% CI, 2.7-31.5), and the OR with a 10-fold increase was 27.7 (95% CI, 5.9-129). A 10-fold increase in NT-proBNP offered a negative predictive value of 95% for the diagnosis of rejection. The relationship between within-individual increases in NT-proBNP and rejection persisted after adjusting for a fall in ejection fraction and a rise pulmonary capillary wedge pressure, and was a stronger predictor than changes in these parameters.

SOLUTION:
Does the change in B-type natriuretic peptide levels over time predict significant rejection in cardiac transplant recipients?