112 research outputs found
FIG. 6 in Bio-sketches and partitioning of sympatric reed frogs, genus Hyperolius (Amphibia; Hyperoliidae), in two humid tropical African forest regions
No full textFIG. 6. Male Hyperolius acuticeps (PhJ~PhF), Kenya: Kakamega Forest (specimen not collected).Published as part of Lötters, S., Schick, S., Scheelke, K., Teege, P., Kosuch, J., Rotich, D. & Veith, M., 2004, Bio-sketches and partitioning of sympatric reed frogs, genus Hyperolius (Amphibia; Hyperoliidae), in two humid tropical African forest regions, pp. 1969-1997 in Journal of Natural History 38 (15) on page 1984, DOI: 10.1080/00222930310001613584, http://zenodo.org/record/467604
FIG. 1 in Bio-sketches and partitioning of sympatric reed frogs, genus Hyperolius (Amphibia; Hyperoliidae), in two humid tropical African forest regions
No full textFIG. 1. Male Hyperolius mosaicus, Gabon: Monts Cristal (specimen not collected).Published as part of Lötters, S., Schick, S., Scheelke, K., Teege, P., Kosuch, J., Rotich, D. & Veith, M., 2004, Bio-sketches and partitioning of sympatric reed frogs, genus Hyperolius (Amphibia; Hyperoliidae), in two humid tropical African forest regions, pp. 1969-1997 in Journal of Natural History 38 (15) on page 1973, DOI: 10.1080/00222930310001613584, http://zenodo.org/record/467604
FIG. 10 in Bio-sketches and partitioning of sympatric reed frogs, genus Hyperolius (Amphibia; Hyperoliidae), in two humid tropical African forest regions
No full textFIG. 10. Hyperolius viridiflavus males (PhJ left, PhF), Kenya: Kakamega Forest (specimens not collected).Published as part of Lötters, S., Schick, S., Scheelke, K., Teege, P., Kosuch, J., Rotich, D. & Veith, M., 2004, Bio-sketches and partitioning of sympatric reed frogs, genus Hyperolius (Amphibia; Hyperoliidae), in two humid tropical African forest regions, pp. 1969-1997 in Journal of Natural History 38 (15) on page 1990, DOI: 10.1080/00222930310001613584, http://zenodo.org/record/467604
Education in Kenya: Contemporary Situation and New Tendencies at the Beginning of the XXI Century
No full textThe article considers the present situation on the different educational levels in Kenya. Despite of the government efforts one could hardly mark visual successes. The author considers traditional means to be the best in improving the quality of education
The affordability of school textbooks in Kenya: Consumer experiences in the transforming to a liberalising economy
No full textABSTRACT The growth of educational publishing in Kenya depends heavily on the disposable income of its customers. This article looks at the incomes of both actual and potential customers and how they prioritise their spending. The findings are based on research carried out in Kenya by the author. In selecting the areas to conduct the research, socio-economic factors, geographical conditions and level of development were considered. It was found that most textbook purchasers think that textbooks are very expensive in comparison with their own incomes. This has therefore led them to prioritise basic essential needs before thinking of purchasing textbooks
Образование в Кении: состояние и новые тенденции в начале XXI века
No full textThe article considers the present situation on the different educational levels in Kenya. Despite of the government efforts one could hardly mark visual successes. The author considers traditional means to be the best in improving the quality of education.В статье рассматривается ситуация, сложившаяся на всех уровнях образования в Кении. Несмотря на усилия правительства, видимых успехов пока не наблюдается. Выход из сложившейся ситуации видится в использовании традиционных мер, способствующих улучшению образования
Methods for Improving Inference in Clinical Outcomes
No full textAdvances in technology have allowed for the collection of diverse data types along with evolution in computer algorithms. This dissertation focuses on the development and application of novel methodologies to model and improve inference on clinical outcomes. First, a new prognostic approach of modeling time-to-event data using Bayesian Networks (BNs) is developed and illustrated using publicly available cancer data. This approach allows for flexible modeling of different structural relationships that might exist between variables at different periods, hence, improving our understanding of critical prognostic factors that can inform patient care and development of targeted interventions. As a prognostic model, BNs demonstrated better or comparable performance as compared to other equivalent models for bladder and lung cancer data. In this dissertation, we also reviewed application of predictive modeling algorithms in randomized clinical trials (RCTs). RCTs are costly and time-consuming. Predictive modeling has the potential to mitigate challenges associated with clinical trial failures and facilitate efficient clinical trial conduct in areas such as patient recruitment, trial optimization, and safety & efficacy evaluations. Finally, we present a new approach for estimating causal treatment effect in RCTs that are prone to post-randomization intercurrent events (ICE). Examples of ICE include treatment switch, treatment discontinuation, or adverse events. Here, we adopt the principal stratification framework where we first predict the latent strata membership using baseline covariates and then estimated causal treatment effects using appropriate stratum having a homogeneous group of subjects. Using simulations, our approach demonstrated a better performance in estimating treatment effects as compared to the standard intent-to-treat (ITT) strategy
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