Canadian Gender-Based Analysis Training in South Africa

Attempts to engender post-apartheid South Africa using a Canadian model of gender-based analysis training occurred through agreements between Status of Women Canada and the Office of the Status of Women in South Africa. Using a retrospective lens, I explore how my experience of delivering and evaluating such gender-based analysis training in South Africa holds moments of hope and solidarity yet, is also restricted by issues of power, representation and agency. Throughout this lived experience, the multi-faceted issues surrounding privilege and power as they are situated within race, gender, identity, place and location are explored. I question the state practices of gender mainstreaming, and whether or not transnational feminism can challenge and create changes within such a practice. The article includes data from a gender-based analysis training session and its subsequent evaluation, along with anecdotes, suggestions and a critique. With the push by national and international machineries to mainstream gender, this article offers a timely and critical perspective on the implementation and facilitation of such practices.     

Timing of the medical examination

The medical examination of the sexually abused child may have evidentiary, medical, and therapeutic purposes, and the timing of the examination requires consideration of each of these objectives. In cases of acute sexual assault, emergent examinations may be needed to identify injury, collect forensic evidence, and provide infection and pregnancy prophylaxis. Alternately, most sexually abused children are not identified immediately after assault, and the timing of the examination needs to balance physical and emotional issues with the availability of qualified examiners. In all cases, the best interests of the child should be paramount.     

Examining the Influence of the Wine Festival Experience on Tourists’ Quality of Life

Hosting events and festivals is the best way of providing the wine tourism experience. Wine festivals offer a wide range of experiences that are different from day-to-day living, offer a lifestyle package and are an indicator of lifestyle tourism experience. Tourists travel to wine festivals for wine and other leisure-related experiences, including opportunities for social and/or cultural experiences, interactivity and personal development. Therefore, wine festivals should provide an experience that can influence the quality of life (QoL) of the attending tourist. QoL is influenced by various life domains, which include social, leisure and recreational, intellectual, culinary, and travel life. By its nature, a wine festival is able to influence life domains, thereby decreasing or increasing the level of satisfaction with QoL, according to the level of satisfactory experience. The purpose of this article is to examine the influence of the wine festival experience on the QoL of attending tourists. The structural relationship between the wine festival experience on tourists’ QoL is shown in a structural equation model (SEM), which is based on the notion that the QoL of attending tourists will be influenced by their level of satisfaction in various life domains. A self-administrated questionnaire was distributed during the Wacky Wine Festival in Robertson South Africa. The data from 329 (N) eligible questionnaires was cleaned, captured and analysed using SPSS. Furthermore, Amos was used to test the structural model providing statistical support. From the study’s findings, managerial recommendations were made with the aim of maximising attending wine tourists’ QoL. The research contributes to the literature related to QoL.     

Selection of Binary Variables and Classification by Boosting

We adopt boosting for classification and selection of high-dimensional binary variables for which classical methods based on normality and non singular sample dispersion are inapplicable. Boosting seems particularly well suited for binary variables. We present three methods of which two combine boosting with the relatively classical variable selection methods developed in Wilbur et al. (2002 Wilbur , J. D. , Ghosh , J. K. , Nakatsu , C. H. , Brouder , S. M. , Doerge , R. W. ( 2002 ). Variable selection in high-dimensional multivariate binary data with application to the analysis of microbial community DNA fingerprints . Biometrics 58 : 378 – 386 . [Google Scholar]). Our primary interest is variable selection in classification with small misclassification error being used as validation of proposed method for variable selection. Two of the new methods perform uniformly better than Wilbur et al. (2002 Wilbur , J. D. , Ghosh , J. K. , Nakatsu , C. H. , Brouder , S. M. , Doerge , R. W. ( 2002 ). Variable selection in high-dimensional multivariate binary data with application to the analysis of microbial community DNA fingerprints . Biometrics 58 : 378 – 386 . [Google Scholar]) in one set of simulated and three real life examples.     

A Bayesian method for safety signal detection in ongoing blinded randomised controlled trials

Sponsors have a responsibility to minimise risk to participants in clinical studies through safety monitoring. The FDA Final Rule for IND Safety Reporting requires routine aggregate safety evaluation, including in ongoing blinded studies. We are interested in estimating the probability that the true adverse event rate in the experimental arm exceeds that in the control arm. We developed a Bayesian approach that specifies an informative meta-analytic predictive prior on the event probability in the control arm and an uninformative prior on that in the experimental arm. We combined these priors with a mixture likelihood that considers each patient in the ongoing blinded study may belong to the experimental or control arm. This allowed us to estimate the quantity of interest without unblinding. We evaluated our method by simulation, pairing scenarios that differed only in whether a safety signal was present or missing, and quantifying the ability of our model to discriminate using signal detection theory. Our approach shows benefit. It detects safety signals more reliably with greater sample sizes and for common rather than rare events. Performance does not deteriorate markedly when historical studies exhibit heterogeneous hazards or non-constant hazards. Our method will allow us to monitor safety signals in ongoing blinded studies with the goal of earlier identification and risk mitigation. Our method could be adapted to use informative priors on both arms or predictive covariates where pertinent data exist. We stress that ongoing safety monitoring should involve a multi-disciplinary team where statistical methods are paired with medical judgement.