**5 Types of Bias in Data & Analytics**De Vires, S. (2017, January 5). 5 types of bias in data & analytics.

**This resource highlights biases that should be avoided in conducting research.****Argument-based Assessment of Predictive Uncertainty of Data-Driven Environmental Model**Knüsel, B., Baumberger, C., Zumwald, M., Bresch, D. N., & Knutti, R. (2020). Argument-based assessment of predictive uncertainty of data-driven environmental models.*Environmental Modelling and Software, 134*.

**This resource proposes a framework for uncertainty assessment that uses argument analysis to assess the justification of the assumption that the model is fit for the predictive purpose at hand.****Check your Assumptions About your Data**Goosey, B. (2017, April 5). Check your assumptions about your data.

**This resource discusses the importance of identifying and reviewing any assumptions one might have about the data one is working with.****From Predictive to Prescriptive Analytics: A Data-driven Multi-item Newsvendor Model**Punia, S., Singh, S. P., & Madaan, J. K. (2020). From predictive to prescriptive analytics: A data-driven multi-item newsvendor model.*Decision Support Systems, 136*.

**This resource proposes a distribution-free and completely data-driven solution approach to Z. The proposed approach uses sample demand data as input and machine (and deep) learning methods with empirical risk minimization principle to find order quantities.****Predictive Assessment of Models for Dynamic Functional Connectivity**Nielsen, S. F. V., Schmidt, M. N., Madsen, K. H., & Mørup, M. (2018). Predictive assessment of models for dynamic functional connectivity.*NeuroImage, 171*, 116–134.

**This resource considers a predictive likelihood approach to model assessment, where models are evaluated based on their predictive performance on held-out test data.****Statistical Conclusion Validity**APA Dictionary of Psychology. (2020). Statistical conclusion validity. Author.

**This resource gives a definition of statistical conclusion validity.**

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