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bootmi

R package for bootstrapping imputed survey data

bootstrapdemo

An R Shiny App demonstrating statistical bootstrapping

bootstrapping-boston-data-with-r

This is scaleable code for trying out Balanced and Classic Bootstrapping on any data.

bootstrapping-in-r

bootstrapping-in-regression-using-r

Codes Of Bootstrapping In Regression Using R Software

bootstrapping-resampling-r-project

bootstrapping-with-r

brain-tumor-prediction

As we know Our Medical science is doing well day by day with the help of technology in which Artificial Intelligence and Machine Learning plays a major role. Brain tumor prediction model is also one of the best example which we have done. In this project we use BraintumorData.csv as Dataset,use of different Libraries such as pandas,matplotlib,sklearn and diagnose according to different columns of dataset.By importing logistic regression we train,test,split our data and then predict our model Accuracy. (94.680851.....%%) Accuracy implies that how much our model is accurate for tumour Analysis.

breast-cancer-prediction

BreastCancerPrediction (WISCONSIN MEDICAL DATASET)is done using7classificationalgorithm: Logistic Regression,SupportVectorMachine(linearkernel),SupportVector Machine(polynomialkernel),EnsembleLearningMethodofDecision Tree,RandomForest,AdaboostClassifier,andlastlyvotingalgorithmbasedon LogisticRegression,SupportVectorMachine(polynomial kernel)andDecision tree. This project was represented by a python GUI using tkinter.

breast-cancer-prediction-using-logistic-regression-deployed-on-a-kivy-app

A simple app is desiged which takes inputs as medical parameters to determine if tumor is benign or malignant.

brian-kelly-margin-of-victory-prediction

Using the tidymodels package to predict Notre Dame Football margin of victory during the Brian Kelly era. Using Julia Silge's youtube video 'Predictive modeling in R with tidymodels and NFL attendance' - https://www.youtube.com/watch?v=LPptRkGoYMg - as inspiration.

c306

Collection of useful R codes for data analysis from the Biostatistics group at OUCRU

cambio_survival

repository for the surival analysis in CAMBIO

cannonball

Learny Tools for Teaching Statistics

case-control

Simulation study to test the performance of different case-control study designs that incorporate registry-based cases and complex survey-based controls.

catscatter

Scatter visualization for categorical features with matplotlib

causal_inference

Repository of projects focusing on discussion about experimental design and causal inference between variables using techniques like matching, difference in differences and fixed effects

causalgraphs_latex

Drawing graphical models for causal inference using LaTeX

causality

causalityslides

Learny dag Slides for the Seattle University Causal Inference Class

causalmpe

R Code and simulations associated with the paper "Causal inference considerations for molecular pathological epidemiology" by Nevo et al.

cc-10-datavis2

Data visualisation and customising your figures

cc-11-shiny

Using Shiny to produce interactive web-apps

cc-12-git-for-labs

Setting up a Github repository for your lab

cc-12-webscraping

Using R to gather data from web pages

cc-2-rmarkdown

Using R Markdown to construct reproducible code

cc-3-datamanip

Using tidyr, dplyr and piping for easy and efficient data manipulation

cc-4-datavis

Beautiful and informative data visualisation

cc-5-fun-and-loop

Intro to loops and functions

cc-6-maps

Using R to produce map figures and display spatial data