In oncology drug development, phase II dose-finding studies are essential to identify the most promising dose levels for confirmatory phase III trials. Traditionally, dose selection is based on the maximum tolerated dose, which does not necessarily correspond to the optimal dose in terms of efficacy and safety. To address the challenge of dose optimization, the Oncology Center of Excellence of...
Experimental designs with orthogonal block structures are commonly used in many areas of science in order to control the external sources of variability. The aim of this study is to compare several analysis of variance (ANOVA) methods applicable to such structures. Comparing these approaches is of practical importance, as the choice of the analytical method may influence inference about...
Row-column designs play an important role in applications where two orthogonal sources of error need to be controlled for by blocking. Field or greenhouse experiments, in which experimental units are arranged as a rectangular array of experimental units are a prominent example. In plant breeding, the amount of seed available for the treatments to be tested may be so limited that only one...
Fisher (1925) introduced the three principles of experimental design: (i) true replicates, (ii) randomization, and (iii) blocking. The former two are strictly required while blocking often increases precision. That is what we tell our agricultural students. However, in practice, randomization is often ignored, either in the first replicate (van Santen and West, 2012) or completely. Often, the...
Wastewater-based epidemiology (WBE) offers a promising approach to assess populationhealth by analysing health related [SM1] markers in sewage. Interpreting such data at fine spatial scalesrequires accurate [DS2] numbers of the contributing population. However, allocating population information tosewersheds is complicated by the lack of spatial congruence between administrative boundaries and...
