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fharrell.com | ||
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www.rdatagen.net
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| | | | | In my previous post, I described a continuous data generating process that can be used to generate discrete, categorical outcomes. In that post, I focused largely on binary outcomes and simple logistic regression just because things are always easier to follow when there are fewer moving parts. Here, I am going to focus on a situation where we have multiple outcomes, but with a slight twist - these groups of interest can be interpreted in an ordered way. | |
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hbiostat.org
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| | | | | This article explains how the generalizability of randomized trial findings depends primarily on whether and how patient characteristics modify (interact with) the treatment effect. For an observational study this will be related to overlap in the propensity to receive treatment. | |
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hbiostat.org
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| | | | | In this article I provide much more extensive simulations showing the near perfect agreement between the odds ratio (OR) from a proportional odds (PO) model, and the Wilcoxon two-sample test statistic. The agreement is studied by degree of violation of the PO assumption and by the sample size. A refinement in the conversion formula between the OR and the Wilcoxon statistic scaled to 0-1 (corcordance probability) is provided. | |
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phil-stat-wars.com
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| | | The Statistics Wars and Their Casualties 22-23 September 2022 15:00-18:00 pm London Time* ONLINE (London School of Economics, CPNSS) To register for the workshop, please fill out the registration form here. *These will be sessions 1 & 2, there will be two more online sessions (3 & 4) on December 1 & 8. While the... | ||
