Confidence Interval Analysis Cia Software Download

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Statistics with Confidence is a widely acclaimed classic introduction to confidence intervals. The second edition, with contributions from leading medical statisticians, has been thoroughly revised and expanded. New chapters include: * diagnostic studies. * clinical trials and meta analyses.

Download to your computer. Mac; Windows. Confidence Intervals, and Meta-Analysis. Statistics with Confidence and the CIA software are resources that every. The Six Sigma Confidence Interval Analysis (CIA) Training Module includes: 1. MS PowerPoint Presentation including 72 slides covering theory and examples of.

* confidence intervals and sample sizes. The Windows computer software (CIA) in the accompanying disk enables confidence intervals to be calculated using the methods described in the book. This comprehensive collection of methods includes some that are not readily available elsewhere. Featuring methods for using confidence intervals, illustrative worked examples and helpful checklists this is a truly practical guide for clinical readers to a fundamental aspect of medical statistics. Abstract Statistics with Confidence is a widely acclaimed classic introduction to confidence intervals.

The second edition, with contributions from leading medical statisticians, has been thoroughly revised and expanded. New chapters include: * diagnostic studies. * clinical trials and meta analyses. * confidence intervals and sample sizes. The Windows computer software (CIA) in the accompanying disk enables confidence intervals to be calculated using the methods described in the book.

This comprehensive collection of methods includes some that are not readily available elsewhere. Featuring methods for using confidence intervals, illustrative worked examples and helpful checklists this is a truly practical guide for clinical readers to a fundamental aspect of medical statistics. Full text not available from this repository.

Background: Previous studies have demonstrated an association between obesity and asthma, but there remains considerable uncertainty about whether this reflects an underlying causal relationship. Aims: To investigate the association between obesity and asthma in pre-pubertal children and to investigate the roles of airway obstruction and atopy as possible causal mechanisms.

Methods: We conducted an age- and sex-matched case–control study of 1,264 6- to 8-year-old schoolchildren with and without asthma recruited from 37 randomly selected schools in Madinah, Saudi Arabia. The body mass index (BMI), waist circumference and skin fold thickness of the 632 children with asthma were compared with those of the 632 control children without asthma.

Associations between obesity and asthma, adjusted for other potential risk factors, were assessed separately in boys and girls using conditional logistic regression analysis. The possible mediating roles of atopy and airway obstruction were studied by investigating the impact of incorporating data on sensitisation to common aeroallergens and measurements of lung function.

Results: BMI was associated with asthma in boys (odds ratio (OR)=1.14, 95% confidence interval (CI), 1.08–1.20; adjusted OR=1.11, 95% CI, 1.03–1.19) and girls (OR=1.37, 95% CI, 1.26–1.50; adjusted OR=1.38, 95% CI, 1.23–1.56). Adjusting for forced expiratory volume in 1 s had a negligible impact on these associations, but these were attenuated following adjustment for allergic sensitisation, particularly in girls (girls: OR=1.25; 95% CI, 0.96–1.60; boys: OR=1.09, 95% CI, 0.99–1.19). Conclusions: BMI is associated with asthma in pre-pubertal Saudi boys and girls; this effect does not appear to be mediated through respiratory obstruction, but in girls this may at least partially be mediated through increased risk of allergic sensitisation. The substantial parallel increases in the prevalence of obesity,​,​,​,​ and asthma,​,​ observed over recent decades have led to the suggestion that obesity may be causally implicated in the risk of developing asthma.,​,​ This line of enquiry began with the study of female nurses enrolled in the Nurses’ Health Study cohort, which found a strong, dose-dependent relationship between an increase in body mass index (BMI) and adult-onset asthma. Investigations into the association between obesity and asthma have subsequently been extended to both male and female adults, adolescents,​,​ and young children, other populations of European origin,,​,​ and some other ethnic groups. Overall, this body of work has confirmed the original observation—namely that obesity is associated with an increased risk of developing asthma, particularly in post-pubertal females.

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What is, however, far less clear is whether this reflects a causal relationship between the two and, if so, what the underlying mechanisms might be. Ethical considerations Permission was obtained from the education authorities in Madinah (General Directors) and School Health Departments in the Ministry of Education, Riyadh, Saudi Arabia, and from head-teachers of participating schools. Parents gave their signed, informed consent to their child’s participation. All data had identifiers removed to minimise the risk of inadvertently breaching confidentiality. Design We conducted an age- and sex-matched case–control study of 1,264 schoolchildren with and without asthma. Children aged 6–8 years were recruited from 37 randomly selected schools in Madinah, Saudi Arabia.