In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Input: Consider Input: Context: This study examines the prevalence and correlates of self-reported premenstrual symptoms among a large, population-based sample of reproductive age, active-duty women.', 'Data were obtained from a combined dataset of two large-scale mail surveys designed to represent the total force. Subjects included in the present study were 6026 active-duty women of all branches of military service stratified by service, paygrade group, race/ethnicity, and location. A multivariate approach is used to evaluate the interrelationships among psychosocial and lifestyle correlates of premenstrual symptoms or pain after controlling for demographic differences in women who reported premenstrual symptoms or pain during the past 3 months (cases) and those who did not (controls).', 'Premenstrual symptoms were reported by nearly 2 of every 3 reproductive age women. Women reporting premenstrual symptoms were more likely to report other symptoms of menstrual dysfunction, two or more current medical conditions, migraines, and healthcare provider visits in the past year. After controlling for the protective effects of taking Depo-Provera (Upjohn, Kalamazoo, MI) and ever being pregnant, younger age, trying to lose weight, heavier drinking, poorer self-perceived health, and overall job stress were the most significant predictors of premenstrual symptoms. The greatest risk factor was a high level of job stress, with an almost 3-fold increase in risk relative to those without symptoms.\Question: Does psychosocial and lifestyle correlate of premenstrual symptoms among military women?

Output: Work stress may mediate the relationship among depression and premenstrual symptoms. Further research is needed to elucidate the biological interrelationships among work stress, hormonal function, and premenstrual symptomatology.


Input: Consider Input: Context: 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.\Question: Do zero adjusted models with applications to analysing helminths count data?

Output: This paper showed that zero modified NBLH and ZINB models are more appropriate methods for the analysis of data with excess zeros. The choice between the hurdle and zero-inflated models should be based on the aim and endpoints of the study.


Input: Consider Input: Context: We evaluated conventional ASSR (Bio-logic MASTER II) and NB CE-Chirp ASSR thresholds as objective hearing measures in both normal and hearing loss subjects.', "Patients with sensorineural hearing loss and volunteer normal hearing subjects were enrolled. Pure tone thresholds at 0.5, 1, 2 and 4 kHz were compared with the corresponding thresholds measured using Bio-logic MASTER II and the Eclipse ASSR systems. The threshold differences and correlation with pure tone were measured and reliability was evaluated with Cronbach's α. In part I of the study, all subjects were included, in part II of the study, only mild hearing loss and normal hearing subjects were included.", 'In part I, NB CE-Chirp ASSR revealed a significantly smaller difference in threshold than conventional ASSR, a better correlation and better reliability. However, lower frequencies of NB CE-Chirp tended to be less reliable than higher frequencies. In part II, NB CE-Chirp revealed smaller threshold differences than conventional ASSR. Both correlation scores and reliability values were generally lower in the part II results.\Question: Is narrow band CE-Chirp auditory steady-state response more reliable than the conventional ASSR in predicting the behavioral hearing threshold?


Output: NB CE-Chirp ASSR generally revealed more favorable outcomes. However, its reliability was reduced at lower frequencies and in patients with milder hearing loss.