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Aims: To clarify the hypothesis tests associated with the full covariate modelling (FCM) approach in population pharmacokinetic analysis, investigate the potential impact of multiplicity in population pharmacokinetic analysis, and evaluate simultaneous confidence intervals (SCI) as an approach to control multiplicity. Methods: Clinical trial simulations were performed using a simple one‐compartment pharmacokinetic model. Different numbers of covariates, sample sizes, effect sizes of covariates, and correlations among covariates were explored. The false positive rate (FPR) and power were evaluated. Results: The FPR for the FCM approach dramatically increases with number of covariates. The chance of incorrectly selecting ≥1 seemingly clinically relevant covariates can be increased from 5% to a 40–70% range for 10–20 covariates. The SCI approach may provide appropriate control of the family‐wise FPR, allowing more appropriate decision making. As a result, the power detecting real effects without incorrectly identifying non‐existing effects can be greatly improved by the SCI approach compared to the approach in current practice. The performance of the SCI approach is driven by the ratio of sample size to number of covariates. The FPR can be controlled at 5% and 10% using the SCI approach when the ratio was ≥20 and 10, respectively. Conclusion: The FCM approach still lies within the framework of statistical testing, and therefore multiplicity is an issue for this approach. It is imperative to consider multiplicity reporting and adjustments in FCM modelling practice to ensure more appropriate decision making. [ABSTRACT FROM AUTHOR]

Maternal capabilities-qualities of mothers that enable them to leverage skills and resources into child health-hold potential influence over mother's adoption of child caring practices, including infant and young child feeding. We developed a survey ( n = 195) that assessed the associations of 4 dimensions of maternal capabilities (social support, psychological health, decision making, and empowerment) with mothers' infant and young child feeding practices and children's nutritional status in Uganda. Maternal responses were converted to categorical subscales and an overall index. Scale reliability coefficients were moderate to strong (α range = 0.49 to 0.80). Mothers with higher social support scores were more likely to feed children according to the minimum meal frequency (odds ratio [OR] [95% confidence interval (CI)] = 1.38 [1.10, 1.73]), dietary diversity (OR [95% CI] = 1.56 [1.15, 2.11]), iron rich foods, (OR [95% CI] = 1.47 [1.14, 1.89]), and minimally acceptable diet (OR [95% CI] = 1.55 [1.10, 2.21]) indicators. Empowerment was associated with a greater likelihood of feeding a minimally diverse and acceptable diet. The maternal capabilities index was significantly associated with feeding the minimum number of times per day (OR [95% CI] = 1.29 [1.03, 1.63]), dietary diversity (OR [95% CI] = 1.44 [1.06, 1.94]), and minimally acceptable diet (OR [95% CI] = 1.43 [1.01, 2.01]). Mothers with higher psychological satisfaction were more likely to have a stunted child (OR [95% CI] = 1.31 [1.06, 1.63]). No other associations between the capabilities scales and child growth were significant. Strengthening social support for mothers and expanding overall maternal capabilities hold potential for addressing important underlying determinants of child feeding in the Ugandan context. [ABSTRACT FROM AUTHOR]

The article presents the study that explores on the use of haematopoietic stem cell transplantation (SCT) in the treatment of Fanconi anemia (FA) patients in Canada and the U.S. The topics discussed include the attributes of FA, the factors that influenced the decision making of FA patients and family members on SCT, and the benefits and probable risks of SCT.

Differential growth rate between males and females, owing to a sexual size dimorphism, has been proposed as a mechanism driving sex-biased survival. How parents respond to this selection pressure through sex ratio manipulation and sex-biased parental investment can have a dramatic influence on fitness. We determined how differential growth rates during early life resulting from sexual size dimorphism affected survival of young and how parents may respond in a precocial bird, the black brant Branta bernicla nigricans. We hypothesized that more rapidly growing male goslings would suffer greater mortality than females during brood rearing and that parents would respond to this by manipulating their primary sex ratio and parental investment. Male brant goslings suffered a 19.5% reduction in survival relative to female goslings and, based on simulation, we determined that a female biased population sex ratio at fledging was never overcome even though previous work demonstrated a slight male-biased post-fledging survival rate. Contrary to the Fisherian sex ratio adjustment hypothesis we found that individual adult female brant did not manipulate their primary sex ratio (50.39% male, n = 645), in response to the sex-biased population level sex ratio. However, female condition at the start of the parental care period was a good predictor of their primary sex ratio. Finally, we examined how females changed their behavior in response to primary sex ratio of their broods. We hypothesized that parents would take male biased broods to areas with increased growth rates. Parents with male biased primary sex ratios took broods to areas with higher growth rates. These factors together suggest that sex-biased growth rates during early life can dramatically affect population dynamics through sex-biased survival and recruitment which in turn affects decisions parents make about sex allocation and sex-biased parental investment in offspring to maximize fitness. [ABSTRACT FROM AUTHOR]

Background Socioeconomically deprived women are at greater risk of adverse pregnancy outcomes. Research tends to focus on access of services. Yet access may not equate with the equity of services for women from different socioeconomic backgrounds. Objectives To determine whether pregnant women's perceptions of antenatal provision differed in relation to their socioeconomic deprivation ranking (determined by the Scottish Index of Multiple Deprivation 2006). Design A longitudinal, qualitative study with comparative antenatal case studies between January 2007 and April 2009. Setting/Participants Cases were primigravida women from 'least deprived' ( n = 9) and 'most deprived' ( n = 12) geographical areas within one local authority in Scotland. Analysis Data were analysed using case study replication analysis. Results There was little difference in access to antenatal services between the 'least' and 'most' deprived groups. Perception of care differed in relation to the level of 'engagement' (defined using constructs of: language and personalization of care; power and relationships; and health literacy). Engagement was evidenced in most of the 'least deprived' cases and almost none of the 'most deprived' cases. Specifically, socioeconomically deprived women described less evidence of personal connection to their own care, effective communication and the opportunity for shared decision making. Conclusion In women from socioeconomically deprived areas, access may be a less useful indicator than engagement when assessing antenatal service quality. As engagement levels may be one method by which to predict and improve health outcomes, a more equitable antenatal service may need to be developed through the early identification of those women at risk of non-engagement. [ABSTRACT FROM AUTHOR]

Context and objective Shared decision making is especially advocated for preference-sensitive decisions. We investigated whether physicians' recommendations pull patients away from their preferred treatment option when making a preference-sensitive decision. Design, participants and methods Inpatients ( N = 102 with schizophrenia, N = 101 with multiple sclerosis) were presented with a hypothetical scenario (the choice between two drugs). They were first asked about their preferences concerning the two drugs and then they received a (fictitious) clinician's recommendation that was contrary to their preferences. Subsequently they made a final choice between the two drugs. Main outcome measures The main outcome measure was whether the patient followed the physician's advice in the hypothetical scenario. Thereby patient's (pre-recommendation) preferences served as a baseline. Results In the decision scenario, about 48% of the patients with schizophrenia and 26% of the patients with multiple sclerosis followed the advice of their physician and thus chose the treatment option that went against their initial preferences. Patients who followed their physician's advice were less satisfied with their decision than patients not following their physician's advice (schizophrenia: t = 2.61, P = 0.01; multiple sclerosis: t = 2.67, P = 0.009). Discussion and conclusions When sharing decisions with patients, physicians should be aware that their advice might influence patients' decisions away from their preferred treatment option. They should encourage their patients to identify their own preferences and help to find the treatment option most consistent with them. [ABSTRACT FROM AUTHOR]

This paper deals with obtaining an upper tolerance limit for a largest observation X [ABSTRACT FROM AUTHOR]

The article offers the author's insights on the significance of employing good statistical approaches in making decisions on policies in plant science. The author mentions the drawbacks of using null hypothesis significance testing (NHST), which are based on using arbitrary threshold for evaluating statistical significance. He argues that NHST's significance threshold must be established to attain the objectives of the statistical test.