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Welcome to VSNi blogs

    • Blog, Breeding / Quantitative Genetics, Plant/Agronomy

    Predicting the Performance of Genotypes by Multi-Environment Trial Analyses

    Predicting the performance of novel plant genotypes in different environments is essential for developing cultivars......
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    • Animal Science, ASReml, Blog, Breeding / Quantitative Genetics

    Exploring the single record animal model in ASReml: advancing statistical analysis in animal breeding

    A single record animal model is the simplest, and probably most important, linear mixed model (LMM) used in...
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    • Blog, Statistics and Computing

    Statistical outliers: Should you toss them or treasure them in your analyses?

    Outliers are sample observations that are either much larger or much smaller than the other observations in a...
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    • Blog, Statistics and Computing

    Warning! The missing data problem

    Missing data are a common problem, even in well-designed and managed research studies....
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    • Blog, Statistics and Computing

    Decoding the p-value: what statisticians need to know

    Discover how to interpret p-values correctly and avoid common misconceptions. Dive into the world of statistical inference and...
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    • Blog, Statistics and Computing, Thought Leadership

    The evolution of statistical computing: a captivating journey through history

    It is widely acknowledged that the most fundamental developments in statistics in the past 60+ years are driven...
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    • Blog, Statistics and Computing

    The dark side of zeros in your dataset: the hidden threat to statistical analysis

    It is always good practice to explore the data before you fit a model....
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    • Blog, Statistics and Computing, Thought Leadership

    Revolutionizing bioscience analysis: A 50-Year journey from clunky keyboard calculators to cutting-edge statistics software

    Earlier this year I had an enquiry from Carey Langley of VSNi as to why I had not...
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    • Blog, Statistics and Computing

    Why machine learning is not (yet) working for genomic prediction

    In plant and animal breeding the use of genomic predictions has become widespread, and it is currently being...
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    • Blog, Statistics and Computing

    Unlocking insights: analyzing field experiment data with linear mixed models in a balanced lattice square design

    This blog illustrates how to analyze data from a field experiment with a balanced lattice square design using...
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    • Blog, Statistics and Computing

    Mastering mixed models for repeated measures and longitudinal data

    The term “repeated measures” refers to experimental designs or observational studies in which each experimental unit (or subject)...
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