Design of a factorial experiment with randomization restrictions to assess medical device performance on vascular tissue

Background: Energy-based surgical scalpels are designed to efficiently transect and seal blood vessels using thermal energy to promote protein denaturation and coagulation. Assessment and design improvement of ultrasonic scalpel performance relies on both in vivo and ex vivo testing. The objective of this work was to design and implement a robust, experimental test matrix with randomization restrictions and predictive statistical power, which allowed for identification of those experimental variables that may affect the quality of the seal obtained ex vivo. Methods: The design of the experiment included three factors: temperature (two levels); the type of solution used to perfuse the artery during transection (three types); and artery type (two types) resulting in a total of twelve possible treatment combinations. Burst pressures of porcine carotid and renal arteries sealed ex vivo were assigned as the response variable. Results: The experimental test matrix was designed and carried out as a split-plot experiment in order to assess the contributions of several variables and their interactions while accounting for randomization restrictions present in the experimental setup. The statistical software package SAS was utilized and PROC MIXED was used to account for the randomization restrictions in the split-plot design. The combination of temperature, solution, and vessel type had a statistically significant impact on seal quality. Conclusions: The design and implementation of a split-plot experimental test-matrix provided a mechanism for addressing the existing technical randomization restrictions of ex vivo ultrasonic scalpel performance testing, while preserving the ability to examine the potential effects of independent factors or variables. This method for generating the experimental design and the statistical analyses of the resulting data are adaptable to a wide variety of experimental problems involving large-scale tissue-based studies of medical or experimental device efficacy and performance

Estimativas de ganhos genéticos por diferentes índices de seleção em três populações híbridas de batata.

O objetivo deste trabalho foi comparar a eficiência de diferentes índices de seleção de clones superiores de batata. O experimento foi realizado no campo experimental da Embrapa Clima Temperado em Pelotas-RS, na primavera de 2008. Foram estudadas três populações híbridas de batata derivadas de cruzamentos entre clones avançados do programa de melhoramento de batata da Embrapa e cultivares estrangeiras. O delineamento experimental foi blocos aumentados em quatro repetições. O uso de índices de seleção resultou em maiores estimativas de ganhos de seleção, com melhor distribuição entre os caracteres avaliados. Os melhores índices de seleção encontrados para serem utilizados em programas de melhoramento de batata são os índices multiplicativo de Subandi et al. (1973) e o índice baseado na soma de ranks proposto por Mulamba & Mock (1978)

Competing Effects Designs and Models for 2-Dimensional Field Arrangements

Three methods of constructing balanced nearest-neighbor row-column or competition effect designs are presented. Statistical response models for two-dimensional layouts and competing effects are formulated and corresponding statistical analyses are developed for designs of this type. The problem of obtaining solutions for all competing effects is discussed and illustrated. Two numerical examples illustrating aspects of design and statistical analyses are presented; one is an actual experiment and the other is artificial to demonstrate effect of competition on estimates of parameters. The problems of appropriate borders, spatial arrangements, measuring and/or eliminating competition effects, and the consequence of not being able to obtain estimable contrasts among the competition effects are discussed