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simulations-in-r

My trials to simulate for wildlife study designs in R

spatial-inla

Repository containing the data for the Hierarchical modelling using INLA tutorial on the Coding Club website

sscoxcna

Extended Cox proportional hazard model for prediction of patients' clinical data and copy num- ber alteration profiles

st2137-project

Data analysis and simulation studies in R

stacks

Tidy model stacking

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stat_rethinking_2020

Learny Bayesian Statistical Rethinking Course Winter 2020/2021

statamisc

Miscellaneous Stata bits and bobs

statistical-analysis-on-biochemical-recurrence-prostate-cancer-among-patients-in-3-locations

I proved the probabilities of freedom from biochemical recurrence (BCR) among prostate cancer patients are significantly different using stratified Logrank test. I also built a Cox's PH model to identify which genes and demographic factors have effect on survival.

statistical-inference-coursera

Course Instructor(s) The primary instructor of this class is Brian Caffo Brian is a professor at Johns Hopkins Biostatistics and co-directs the SMART working group This class is co-taught by Roger Peng and Jeff Leek. In addition, Sean Kross and Nick Carchedi have been helping greatly.

statistical-power-simulation-study

This repository consists of the R scripts used for the statistical power simulation study

statistical-simulation-using-r

Simulation Study: Significance of Regression, Using RMSE for Selection?, Simulation Study Power

statistics

statrethinking_winter2019

Bayesiany Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

stats-illustrations

R & stats illustrations by @allison_horst

statsexpressions

Expressions with statistical details 📉 📜🔣✅

statsmodels

Statsmodels: statistical modeling and econometrics in Python

statswithjuliabook

stochastic.simulations

Once, we were young paduwans studying stochastic theory with R and a chalkboard. It was just us, our command line and our chalkboard against the (random) world.

stochastics_review

Some studies and simulations of stochastics processes

stratagprediction

STRATA-G Clinical Prediction Model for Treatment Resistant Psychosis

structuralcausalmodels.jl

Initial look at directed acyclic graph (DAG) based causal models in regression.

studydesignsim

R script (Sim_Code) and empirically-derived data (empiricaldata.csv) to run simulation code in Christie et al. (2019) ...

summarytools

Learny R Package to Quickly and Neatly Summarize Data

supplementary-material

A bookdown-based collection of supplementary material from the clinical prediction models book.

survival

Survival Analysis in R

survival-1

Survival package for R

survival-analysis-in-r

Coursera: Survival analysis in R for public health - Alex Bottle (Imperial College London)

survival-analysis-in-r-

This is the survival analysis of a dataset

survival-analysis-project