Bits of code to help clean up and display statistical analyses, largely in R.
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Updated
Jun 27, 2022 - R
Bits of code to help clean up and display statistical analyses, largely in R.
Replication files for Skinner (2019) Making the connection: Broadband access and online course enrollment at public open admissions institutions.
Code and subset of data for "An exploratory analysis of emotion dynamics between mothers and adolescents during conflict discussions" (Main, Paxton, & Dale, 2016, Emotion).
Analysis of association between trehalose utilization variants in clinical C. difficile isolates and infection severity
Code "Beyond consistency: Contextual dependency of language style in monologue and conversation" (Müller-Frommeyer, Kauffeld and Paxton, 2020, Cognitive Science)
Tracking century of excess mortality in Switzerland 🇨🇭, Sweden 🇸🇪 & Spain 🇪🇸
Identifying gut microbiome features associated with the risk of acquiring an enteric drug-resistant organism (e.g. vancomycin-resistant Enterococcus and resistant gram-negative bacteria) in patients recently discharged from acute-care hospital and admitted into nursing homes.
Codes for BVHAR Research
Replication files for Skinner (2019) Choosing College in the 2000s: An Updated Analysis Using the Conditional Logistic Choice Model
R code and data to reproduce analyses of the paper by Charles-Edwards & Panczak (2018). Part of the TEMPO project.
Visualize coupled categorical and continuous variables in a single plot (e.g., movement and speech state)
Code for "Scale-Independent Aggression" (Blau & Paxton, 2020, Complexity)
Exploring the dynamics of interpersonal movement coordination and social power (Paxton, Brown, & Winter, in preparation)
Interaction networks between antibiotic exposure, microbial factors and clinical features in nursing home patients influence the risk of catheter-associated urinary tract infection.
Active surveillance of newly-admitted nursing home patients for colonization of antibiotic-resistant bacteria reveals that multiple lineages have spread across southeast Michigan healthcare networks.
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