biostatistics
There are 290 repositories under biostatistics topic.
CSBiology/BioFSharp
Open source bioinformatics and computational biology toolbox written in F#.
ModelOriented/survex
Explainable Machine Learning in Survival Analysis
Griffan/VerifyBamID
VerifyBamID2: A robust tool for DNA contamination estimation from sequence reads using ancestry-agnostic method.
MI2DataLab/survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
ShixiangWang/Handbook_of_biostatistic_R
:green_book:handbook of biostatistic and R
JB-Statistical-Consulting/biostatistics
Biostatistics resources : reading list, RMarkdown notebooks, and more!
tlverse/tlverse-handbook
🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
keaven/gsDesign
Group sequential design for clinical trials
ben-laufer/DMRichR
A R package and executable for the preprocessing, statistical analysis, and downstream testing and visualization of differentially methylated regions (DMRs) from CpG count matrices (Bismark cytosine reports)
r0f1/sashelp
SAS code snippets
raamana/confounds
Conquering confounds and covariates: methods, library and guidance
stracquadaniolab/pygna
A Python package for gene network analysis
selbouhaddani/OmicsPLS
R package for High dimensional data analysis and integration with O2PLS!
graemeleehickey/joineRML
R package for fitting joint models to time-to-event data and multivariate longitudinal data
ellessenne/rsimsum
Analysis of simulation studies including Monte Carlo error
gpaux/Mediana
Clinical Trial Simulations
aimundo/GAMs-biomedical-research
Repository that contains all the data, code and manuscript files for a paper that explores the use of GAMs in biomedical research.
graemeleehickey/joineR
R package for fitting joint models to time-to-event and longitudinal data
raamana/missingdata
missing data handing: visualize and impute
aejensen/TrendinessOfTrends
The Trendiness of Trends
BSEL-UC3M/pMoSS
pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to characterize the differences among groups of large datasets
vubiostat/ps
Power and Sample Size Calculation
lebinary/genome-browser
Genome browser to visualize and analyze genomic data
hruffieux/locus
locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
vanderLaan-Group/vanderLaan-lab.org
Website and blog for the research group of Mark J. van der Laan
stracquadaniolab/baghera
Bayesian Gene Heritability Analysis from GWAS summary statistics
CSBiology/TMEA
Thermodynamically Motivated Enrichment Analysis (TMEA) is a new approach to gene set enrichment analysis.
giupardeb/EpiMethEx
EpiMethEx (Epigenetic Methylation and Expression), a R package to perform a large-scale integrated analysis by cyclic correlation analyses between methylation and gene expression data.
Helmut01/replicateBE
Comparative BA-calculation for the EMA's Average Bioequivalence with Expanding Limits (ABEL)
simonguld/CellSegmentationTracker
A Python module intended to make cell segmentation, tracking and subsequent (mostly biophysical) statisticial analysis easy
ucla-biostat-212a/2024winter
Course webpage for UCLA Biostat 212A (Statistical Machine Learning A)
hikarimusic/BIOSTATS
An Intuitive App for Statistical Analysis
KarlaMonterrubioG/CompRisksVignettes
Supplementary material for the paper: A review on competing risks methods for survival analysis
mikeroyal/Biostatistics-Guide
Biostatistics Guide
statbiscuit/vested
Virtual Experiments to Teach Experimental Design