Publications by Kaitlyn Vallo
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suppressPackageStartupMessages({ library(tidyverse) library(ggplot2) library(gridExtra) }) data <- read.csv("~/Downloads/clustered_data_code-master/PtenAnalysisData.csv") %>% mutate(mouseid = factor(mouseid, levels = c("0", "1", "2", "3", "4", "5"))) data.new2 <- data[data$fa == "0",] 1 Introduction This assignment is a reproduced data an...
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Assignment 3
##Introduction The data for assignment 3 used in my analysis was gathered from the paper “Imaging and Clinical Data Archive for Head and Neck Squamous Cell Carcinoma Patients Treated with Radiotherapy.” This paper detailed the collection and processing of computed tomography based imaging in patients with head and neck squamous cell carcinoma...
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Vallo Week 6 Lab 4
In the needle_sharing dataset, I kept the outcome of # of times a drug user shared a syringe in the past month (‘shared_syr’) and changed the predictors to sex, age, and depression diagnosis. Depression (dprsn_dx) was recoded with 2 levels, 1 = “No” for no depression diagnosis, 5 = “Yes” for confirmed depression diagnosis. Sex (sex)wa...
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Lab 5
Learning objectives Fit Poisson, NB, and zero-inflated loglinear models Perform nested deviance test for model selection Make diagnostic plots of loglinear models 1 Load the needle-sharing dataset suppressPackageStartupMessages({ library(tidyverse) }) needledat <- readr::read_csv("needle_sharing.csv") needledat2 <- needledat %>% dplyr::filt...
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Log Linear Regression Analysis of Nocturnal Panic and Suicidal Ideation
Introduction The data for assignment 2 used in my analysis was gathered from the paper “The Association Between Nocturnal Panic Attacks and Suicidal Ideation, Plans and Attempts.” published by Nicole S. Smith, Rachel L. Martin, Brian W. Bauer, Shelby L. Brandel, and Daniel W. Capron. This paper hoped to expand upon existing literature regardi...
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Lab10
Learning objectives Gain an intuitive understanding of ICC through simulated data Simulate correlated grouped data Use a heatmap and spaghetti plot to visualize correlated grouped data Create a custom color-blind friendly palette for any plot using https://colorbrewer2.org/ and the RColorBrewer library Fit random and mixed-effects models to corr...
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