Topic: biostatistics Goto Github

👇 Here are 252 public repositories matching this topic...

aejensen / trendinessoftrends
biostatistics,The Trendiness of Trends
User: aejensen
bayesian-inference biostatistics gaussian-processes stan statistics

aimundo / gams-biomedical-research
biostatistics,Repository that contains all the data, code and manuscript files for a paper that explores the use of GAMs in biomedical research.
User: aimundo
biostatistics cancer gams mgcv

antoinesoetewey / yll
biostatistics,R Package Hosted on CRAN to Compute Expected Years of Life Lost (YLL) and Average YLL. See https://CRAN.R-project.org/package=yll
User: antoinesoetewey
Home Page: https://CRAN.R-project.org/package=yll
life-expectancy yll r cran-r package biostatistics

aysuvorov / medstats
biostatistics,Collection of scripts and modules for biostatistics and data science simple automation for research process.
User: aysuvorov
biostatistics medical-statistics clinical-trials sample-size sample-size-calculation statistics-library logistic logistic-regressions

ben-laufer / dmrichr
biostatistics,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)
User: ben-laufer
Home Page: https://www.benlaufer.com/DMRichR/
bioinformatics dna-methylation wgbs cpg biostatistics dmrs workflow rrbs em-seq tidyverse

bsel-uc3m / pmoss
biostatistics,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
Organization: bsel-uc3m
decay python statistics monte-carlo-sampling p-value nhst hypothesis-testing group-comparison big-data bioinformatics-analysis

carlosproca / cdnormbio
biostatistics,R package: Condition-Decomposition Normalization for Biological Applications
User: carlosproca
biostatistics bioinformatics normalization high-throughput biological-data-analysis

csbiology / biofsharp
biostatistics,Open source bioinformatics and computational biology toolbox written in F#.
Organization: csbiology
Home Page: https://csbiology.github.io/BioFSharp/
bioinformatics biostatistics datascience biology dataprocessing fsharp amino-acids nucleotides sequence-analysis docker

csbiology / tmea
biostatistics,Thermodynamically Motivated Enrichment Analysis (TMEA) is a new approach to gene set enrichment analysis.
Organization: csbiology
Home Page: https://www.mdpi.com/1099-4300/22/9/1030
gsea genes biostatistics bioinformatics f-sharp enrichment-score deedle plotly

danuserlab / granger-causality-analysis-of-lamellipodia
biostatistics,Pipeline for inference of Granger-causal relations in molecular systems to study actin regulation in lamellipodia
User: danuserlab
Home Page: https://www.cell.com/cell-systems/fulltext/S2405-4712(22)00224-1
bioinformatics biostatistics causality image-analysis matlab cell-biology

ellessenne / rsimsum
biostatistics, Analysis of simulation studies including Monte Carlo error
User: ellessenne
Home Page: https://ellessenne.github.io/rsimsum/
r simulation simulations statistics biostatistics simulation-study monte-carlo-error rstats

giupardeb / epimethex
biostatistics,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.
User: giupardeb
gene-expression methylation epigenetics cancer biostatistics dataset data-filtering r bioinformatics

gpaux / mediana
biostatistics,Clinical Trial Simulations
User: gpaux
Home Page: http://gpaux.github.io/Mediana
r clinical-trials clinical-trial-simulations simulations biostatistics

graemeleehickey / joiner
biostatistics,R package for fitting joint models to time-to-event and longitudinal data
User: graemeleehickey
statisics statistical-methods longitudinal-data survival-analysis r biostatistics joiner survival cox repeated-measures

graemeleehickey / joinerml
biostatistics,R package for fitting joint models to time-to-event data and multivariate longitudinal data
User: graemeleehickey
longitudinal-data regression-models multivariate-longitudinal-data cox r-package survival joint-models rcpp armadillo biostatistics

griffan / verifybamid
biostatistics,VerifyBamID2: A robust tool for DNA contamination estimation from sequence reads using ancestry-agnostic method.
User: griffan
Home Page: http://griffan.github.io/VerifyBamID/
genetics dna-sequences qc-analysis contamination bioinformatics biostatistics bam cram

helmut01 / replicatebe
biostatistics,Comparative BA-calculation for the EMA's Average Bioequivalence with Expanding Limits (ABEL)
User: helmut01
bioequivalence biostatistics r r-package rstats

hikarimusic / biostats
biostatistics,An Intuitive App for Statistical Analysis
User: hikarimusic
Home Page: https://hikarimusic.github.io/BIOSTATS/
science-research statistics tkinter biostatistics data-analysis data-science data-visualization gui-application python biostats

hruffieux / locus
biostatistics,locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
User: hruffieux
variable-selection joint-models high-dimensional-data sparse-regression variational-inference biostatistics

karlamonterrubiog / comprisksvignettes
biostatistics,Supplementary material for the paper: A review on competing risks methods for survival analysis
User: karlamonterrubiog
biostatistics competing-risks cox-re event-modeling fine-gray-model r-packages statistical-models survival-analysis survival-models time-to-event

kaz-yos / mw
biostatistics,Simulation scripts for matching weights in three-group studies (Epidemiology 2017)
User: kaz-yos
Home Page: https://www.ncbi.nlm.nih.gov/pubmed/28151746
epidemiology biostatistics propensity-scores

keaven / gsdesign
biostatistics,Group sequential design for clinical trials
User: keaven
Home Page: https://keaven.github.io/gsDesign/
r biostatistics clinical-trials design spending-functions boundaries

kin-wang / epi_shelves
biostatistics,Something about epi methods, biostats, infectious diseases
User: kin-wang
biostatistics epidemiology r

lebinh190998 / genome-browser
biostatistics,Genome browser to visualize and analyze genomic data
User: lebinh190998
Home Page: https://www.youtube.com/watch?v=jPPwD95kp28&ab_channel=BinhLe
bioinformatics biology biostatistics bioinformatics-analysis javascript interactive interactive-visualizations interactive-storytelling interactive-map react

mi2datalab / survshap
biostatistics,SurvSHAP(t): Time-dependent explanations of machine learning survival models
Organization: mi2datalab
Home Page: https://doi.org/10.1016/j.knosys.2022.110234
variable-importance biostatistics brier-scores cox-model cox-regression explainable-ai probabilistic-machine-learning shap survival-analysis time-to-event

mikeroyal / biostatistics-guide
biostatistics,Biostatistics Guide
User: mikeroyal
biostatistics biostatistical-computing bioinformatics

modeloriented / survex
biostatistics,Explainable Machine Learning in Survival Analysis
Organization: modeloriented
Home Page: https://modeloriented.github.io/survex
brier-scores cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning shap

nhejazi / biotmle
biostatistics,:package: :microscope: R/biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery
User: nhejazi
Home Page: https://code.nimahejazi.org/biotmle/
bioconductor bioconductor-package bioconductor-packages bioinformatics biomarker-discovery biostatistics causal-inference computational-biology machine-learning r statistics targeted-learning

r0f1 / sashelp
biostatistics,SAS code snippets
User: r0f1
sas datascience statisics biostatistics

raamana / confounds
biostatistics,Conquering confounds and covariates: methods, library and guidance
User: raamana
Home Page: https://raamana.github.io/confounds
confound covariates machine-learning cross-validation scikit-learn statistics regression classification neuroimaging neuroscience

raamana / missingdata
biostatistics,missing data handing: visualize and impute
User: raamana
missing-data data-science visualization biostatistics machine-learning missing-values dirty-data neuroscience epidemiology imputation

ricket-sjtu / bi476
biostatistics,Course materials for "Biostatistics: Case Studies"
User: ricket-sjtu
clinical-trial analysis-of-variance linear-models multivariate-statistics observational-studies biostatistics survival-analysis multivariate-data-analysis mixed-models

sacema / inctools
biostatistics,Incidence Estimation Tools
Organization: sacema
epidemiology incidence-estimation incidence-inference incidence biomarkers hiv cran biostatistics statistics infectious-diseases

schmidtpaul / crashcourse
biostatistics,:chart_with_downwards_trend::seedling: R für Bio- und Agrarwissenschaftler
User: schmidtpaul
Home Page: https://schmidtpaul.github.io/crashcouRse
lifescience mixed-models quantitative-analysis agriculture plant-breeding rstudio biostatistics

selbouhaddani / omicspls
biostatistics,R package for High dimensional data analysis and integration with O2PLS!
User: selbouhaddani
Home Page: https://doi.org/10.1186/s12859-018-2371-3
bioinformatics biostatistics omics multi-omics data-integration principal-component-analysis pca partial-least-squares-regression pls latent-variable-models

shixiangwang / handbook_of_biostatistic_r
biostatistics,:green_book:handbook of biostatistic and R
User: shixiangwang
r biostatistics notebook

simonguld / cellsegmentationtracker
biostatistics,A Python module intended to make cell segmentation, tracking and subsequent (mostly biophysical) statisticial analysis easy
User: simonguld
active-matter bioinformatics-pipeline biophysics biostatistics cell-segmentation cell-tracking

statbiscuit / vested
biostatistics,Virtual Experiments to Teach Experimental Design
User: statbiscuit
Home Page: https://statbiscuit.shinyapps.io/vested/
biostatistics experimental-design rshiny virtual-experiments

stracquadaniolab / baghera
biostatistics,Bayesian Gene Heritability Analysis from GWAS summary statistics
Organization: stracquadaniolab
Home Page: https://baghera.readthedocs.io
gwas pymc3 bioinformatics bayesian-inference biostatistics

stracquadaniolab / pygna
biostatistics,A Python package for gene network analysis
Organization: stracquadaniolab
Home Page: https://pygna.readthedocs.io
network-biology networkx enrichment-analysis pygna biostatistics bioinformatics

tlverse / sl3_lecture
biostatistics,:notebook: 💪 An introductory workshop lecture on ensemble machine learning with pipelines using the sl3 R package
Organization: tlverse
Home Page: https://tlverse.org/sl3/articles/intro_sl3.html
machine-learning statistics biostatistics applied-statistics r demo data-science statistical-computing

tlverse / tlverse-handbook
biostatistics, 🎯 :closed_book: Targeted Learning in R: A Causal Data Science Handbook
Organization: tlverse
Home Page: https://tlverse.org/tlverse-handbook
targeted-learning causal-inference machine-learning tlverse statistics biostatistics causal-data-science causal-machine-learning data-science

ucla-biostat-203b / 2023winter
biostatistics,Course webpage for UCLA Biostat 203B (Intro. to Data Science)
Organization: ucla-biostat-203b
Home Page: https://ucla-biostat-203b.github.io/2023winter/
biostatistics data-science machine-learning docker r

ucla-biostat-203b / 2024winter
biostatistics,
Organization: ucla-biostat-203b
Home Page: https://ucla-biostat-203b.github.io/2024winter/
biostatistics data-science machine-learning

ucla-biostat-212a / 2024winter
biostatistics,Course webpage for UCLA Biostat 212A (Statistical Machine Learning A)
Organization: ucla-biostat-212a
Home Page: https://ucla-biostat-212a.github.io/2024winter/
data-science machine-learning biostatistics

vanderlaan-group / tlbbd-sp2018
biostatistics,Course website for "Targeted Learning in Biomedical Big Data" (Spring 2018, UC Berkeley)
Organization: vanderlaan-group
Home Page: https://vanderlaan-group.github.io/tlbbd-sp2018
targeted-learning machine-learning causal-inference statistics-course biostatistics

vanderlaan-group / vanderlaan-lab.org
biostatistics,Website and blog for the research group of Mark J. van der Laan
Organization: vanderlaan-group
Home Page: https://vanderlaan-lab.org
biostatistics blog causal-inference causality machine-learning statistics targeted-learning

vubiostat / ps
biostatistics,Power and Sample Size Calculation
Organization: vubiostat
angular r studies biostatistics odds-ratios calculations

wtwt5237 / raku-for-bioinformatics
biostatistics,Raku/Perl6 resources for bioinformatics
User: wtwt5237
rakudo perl6 bioinformatics raku benchmark tutorial biostatistics machinelearning

wyp1125 / sas-biostat-tools
biostatistics,SAS scripts for various biostatistics applications. A complete pipeline for analyzing microarray data using linear models is included.
User: wyp1125
bioinformatics biostatistics sas