Live Pages
30 HTML
Statistics_Study
双语生物统计学习中心
Fourteen connected subjects from foundations and medical tests to clinical trials, longitudinal models, causal inference, survival analysis, and meta-analysis.
Account-wide learning & project portal · GitHub 账号综合资源门户
One doorway to every V Lab learning page.
一个入口，连接 The V Lab 的全部学习与项目页面。
Explore every standalone HTML resource published across the LaboratoireV GitHub account: biostatistics, epidemiology, data visualization, R Markdown, applied health-data reports, and Snowflake learning—plus the interactive Alberta Health Data Atlas. 集中浏览 LaboratoireV GitHub 账号下的全部独立 HTML：生物统计、流行病学、数据可视化、R Markdown、健康数据项目与 Snowflake 教程，并可进入 Alberta Health Data Atlas 互动网站。
Projects · 项目总览
Seven repositories, one connected body of work.
Each card links to the verified live site when one exists and to its public GitHub repository. Page counts include standalone HTML files only; reusable header and footer fragments are excluded. 每张卡片优先链接到已验证的在线网站，并同时提供公开 GitHub 仓库入口。页面数量只计算独立 HTML，不包含页眉与页脚等构建片段。
Live Pages
7 HTML
Epidemiology_Study
双语流行病学学习中心
Disease-frequency measures, study designs, sampling, bias, screening, outbreak investigation, causal reasoning, and advanced epidemiologic methods.
Live Pages
5 HTML
Data_Visulization
双语数据可视化工作室
Publication-ready graphics with ggplot2 and interactive browser-based exploration with Plotly, including matching English and Chinese editions.
Live Pages
3 HTML
RMarkdown_Skills
双语可复现报告指南
A practical path through R Markdown, knitr, kable(), executable analysis, output control, and dependable report publishing.
Live Pages
3 HTML
Project001_HealthData
合成健康数据咨询项目
A portfolio example showing reproducible descriptive reporting for synthetic emergency, ambulatory, and inpatient health datasets.
Source only
2 HTML
SNOWFLAKE_Skills
Snowflake 入门与数据分析
English and Chinese Snowflake guides are present in the public repository. GitHub Pages is not enabled yet, so the directory links to source rather than a 404 site.
Live app
Interactive
HealthcareData_Knowledge
Alberta 健康数据图谱
A bilingual interactive atlas covering nine Alberta administrative and clinical data systems, linkage, access pathways, field guides, and responsible use.
Inventory note: verified against the seven public repositories on August 12, 2026. The account contains 58 HTML files in default or publishing branches: 50 standalone pages and 8 reusable includes/ fragments. Forty-eight standalone pages are live; the two Snowflake guides remain source-only.
盘点说明：账号共有 58 个 HTML 文件，其中 50 个为独立页面，8 个为构建片段；目前 48 个页面已上线，2 个 Snowflake 教程暂仅提供源码。
Complete directory · 全部 HTML 目录
Search every standalone HTML file.
All 50 files are written into this page, grouped by repository and searchable without contacting the GitHub API. Use the filters by repository, topic, or language; with JavaScript disabled, the complete directory remains visible. 全部 50 个文件均静态写入本页，并按仓库分组。可按仓库、主题和语言筛选；即使关闭 JavaScript，完整目录仍然可见。
29 resources · 50 HTML files / 29 项资源 · 50 个 HTML 文件
Repository · 01
Statistics_Study
Bilingual biostatistics, clinical research, causal inference, survival analysis, and evidence synthesis.
LiveHome
Biostatistics Learning Hub
生物统计学习中心首页
LiveOverview
Bilingual Foundations Overview
生物统计基础双语总览
LiveFoundations
Biostatistics Foundations
公共卫生生物统计学基础
LiveTests
Medical Statistical Tests
医学研究常用统计检验
LiveRegression
Linear Regression
线性回归
LiveRegression
Logistic Regression
逻辑回归
LiveDesign
Design of Experiments
实验设计
LiveTrials
Clinical Trials
临床试验设计与常用统计方法
LiveCounts
Poisson & Zero-Inflated Models
Poisson、负二项与零膨胀模型
LiveClustered
Multilevel Modelling
多层模型
LiveLongitudinal
Longitudinal Data Analysis
纵向数据分析
LiveCausal
Causal Inference
因果推断
LiveCausal
Propensity Score Matching
倾向评分匹配
LiveTime-to-event
Survival Analysis
生存分析
LiveTime-to-event
AFT & Cox PH Models
AFT 与 Cox 比例风险模型
LiveEvidence
Meta-Analysis
医学与心理学中的 Meta 分析
Repository · 02
Epidemiology_Study
Population measures, research designs, sampling, bias, causal reasoning, and advanced epidemiologic methods.
Repository · 03
Data_Visulization
Static publication graphics with ggplot2 and interactive browser visualization with Plotly.
LiveHome
Data Visualization Learning Studio
数据可视化学习工作室首页
Liveggplot2
ggplot2 for R
ggplot2 完整教程
LivePlotly
Plotly for R
Plotly 交互式可视化教程
Repository · 04
RMarkdown_Skills
Reproducible reporting with R Markdown, knitr, executable code, figures, and clear tables.
LiveHome
R Markdown Learning Hub
R Markdown 学习中心首页
LiveGuide
R Markdown, knitr & kable()
R Markdown、knitr 与 kable() 实用指南
Repository · 05
Project001_HealthData
A fictional consulting portfolio using entirely synthetic emergency, ambulatory, and inpatient health data.
LiveHome
Project 001 Portfolio
合成健康数据咨询项目首页
LiveReport A01
Project 001 Memo A01
急诊与门诊合成数据报告
LiveReport A02
Project 001 Memo A02
住院合成数据报告
Repository · 06
SNOWFLAKE_Skills
Two standalone guides are stored in the public repository; Pages is not enabled, so these links open the source files on GitHub.
2 source-only HTML files
GitHub
Source onlySnowflake
Snowflake for Data Analytics
Snowflake 入门与数据分析实战
No matching resources
没有符合当前条件的页面，请清除筛选后重试。
Featured path: biostatistics.
Follow the sequence through core models and study design, learn how trials and dependent outcomes are analyzed, then choose causal or survival branches and finish by synthesizing evidence across studies. 先完成基础模型与研究设计，学习临床试验和相关结局分析，再进入因果或生存分支，最后把多个研究的证据综合起来。
-
00
Orient yourself
Compare the two Foundations editions on one page before choosing your primary language.
Bilingual Foundations overview -
01
Build foundations
Learn data types, distributions, sampling, uncertainty, confidence intervals, and association.
Go to foundations -
02
Compare and model
Choose statistical tests, then explain continuous and binary outcomes with regression.
Explore core methods -
03
Design interventions
Connect randomization, blocking, factorial designs, estimands, power, trial conduct, and prespecified analysis.
Study experiments and trials -
04
Model counts and dependence
Handle event counts, excess zeros, clustered observations, repeated measurements, random effects, and longitudinal trajectories.
Study dependent outcomes -
05A
Reason causally
Move from association to target trials, DAGs, standardization, weighting, matching, and sensitivity analysis.
Study causal inference -
05B
Analyze time
Start with censoring, Kaplan–Meier, and competing risks, then progress to Cox PH and accelerated failure time models.
Study survival models -
06
Synthesize evidence
Move from a systematic review question to effect sizes, heterogeneity, forest plots, sensitivity analyses, and responsible conclusions.
Study meta-analysis
Biostatistics course library.
Every course includes worked examples, interpretation guidance, diagnostics, exercises, and reproducible R code. English and Chinese editions use the same statistical logic. 每门课程均包含完整示例、结果解释、诊断、练习与可重复运行的 R 代码；中英文版遵循相同统计逻辑。
Orientation · 导览
Open overview
Bilingual Foundations overview / 统计基础双语概览
Review the introductory Foundations material and compare its two language editions on one page. This is the best starting point if you are new to the site.
01
Biostatistics Foundations
公共卫生生物统计学基础
Develop the core vocabulary and reasoning used across health research, from describing data to uncertainty, confidence intervals, screening measures, and introductory regression.
Study design · distributions · sampling · confidence intervals · association
02
Medical Statistical Tests
医学研究常用统计检验
Choose, run, and interpret common tests for means, ranks, proportions, repeated measurements, rates, correlation, survival, diagnostic accuracy, and equivalence.
t tests · ANOVA · nonparametric tests · proportions · multiplicity · power
03
Linear Regression
线性回归详解
Model continuous outcomes while learning coefficients, interactions, nonlinear terms, assumptions, influence, robust uncertainty, prediction, and transparent reporting.
coefficients · interactions · diagnostics · robust SEs · validation
04
Logistic Regression
逻辑回归详解
Model binary outcomes and translate log odds into useful measures, predicted risks, standardized contrasts, calibration, discrimination, and threshold decisions.
odds ratios · predicted risk · calibration · ROC · missing data
05
Design of Experiments
实验设计与应用详解
Design credible experiments with randomization, replication, blocking, factorial effects, randomization inference, power, diagnostics, and responsible implementation.
randomization · blocking · factorial designs · power · randomization inference
06
Clinical Trials
临床试验设计与常用统计方法
Connect estimands, randomization, analysis sets, sample size, continuous, binary, count, and survival outcomes, missing data, multiplicity, interim analyses, and transparent reporting.
estimands · ANCOVA/MMRM · missing data · multiplicity · CONSORT
07
Poisson and Zero-Inflated Models
Poisson 回归与零膨胀模型详解
Model counts and rates while accounting for exposure, overdispersion, negative-binomial variation, excess zeros, model diagnostics, prediction, and careful interpretation.
rates · offsets · overdispersion · negative binomial · zero inflation
08
Multilevel Modelling
多层模型详解
Model clustered and longitudinal outcomes with variance decomposition, partial pooling, random intercepts and slopes, cross-level interactions, LMMs and GLMMs, diagnostics, and transparent reporting.
ICC · partial pooling · random slopes · LMM/GLMM · clustered prediction
09
Longitudinal Data Analysis
纵向数据分析详解
Analyze repeated measurements through covariance structures, marginal and mixed-effects models, individual trajectories, missing data, prediction, diagnostics, and responsible reporting.
repeated measures · covariance · GLS · mixed effects · trajectories
10
Causal Inference
因果推断详解
Define target trials and causal estimands, use DAGs, and estimate effects through standardization, IPW, matching, AIPW, effect modification, and sensitivity analysis.
target trials · DAGs · g-formula · propensity scores · AIPW
11
Propensity Score Matching
倾向评分匹配详解
Turn an observational causal question into an outcome-blind matching design, assess overlap and covariate balance, estimate an ATT, and report the population retained by the match.
estimands · matching design · overlap · SMD · ATT
12
Survival Analysis
生存分析详解
Build a complete time-to-event workflow covering censoring, Kaplan–Meier and Nelson–Aalen estimates, log-rank tests, RMST, Cox diagnostics, delayed entry, time-varying exposure, and competing risks.
censoring · Kaplan–Meier · RMST · delayed entry · competing risks
13
AFT and Cox PH Survival Models
AFT 与 Cox PH 生存模型
Analyze censored time-to-event data with Kaplan–Meier estimates, Cox proportional hazards models, Weibull AFT models, diagnostics, and absolute predictions.
censoring · Kaplan–Meier · Cox PH · AFT · model diagnostics
14
Meta-Analysis in Medicine and Psychology
医学与心理学中的 Meta 分析详解
Build a defensible evidence synthesis from effect sizes and inverse-variance models to heterogeneity, prediction intervals, forest and funnel plots, sensitivity analyses, and responsible reporting.
effect sizes · random effects · heterogeneity · forest plots · sensitivity
Choose a biostatistics path that fits your goal.
You do not have to complete every page before solving a real problem. Use one of these routes, then return to the full library when you need more depth. 无需学完所有页面才开始解决实际问题；可先按目标选择路线，再回到完整课程库深入学习。
Understand health data
Build confidence with terminology, uncertainty, and common comparisons before moving into models.
Build interpretable models
Move from sound summaries to continuous, binary, count, clustered, and longitudinal outcome models with diagnostics.
Answer clustered, causal, and time-to-event questions
After regression, learn how dependence and clustering change models, then choose one or both causal and survival branches.
Design trials and synthesize evidence
Move from experimental principles and estimands through trial analysis, then combine comparable studies without hiding heterogeneity or uncertainty.
A connected, inspectable learning ecosystem.
Across every repository, The V Lab connects questions, data, assumptions, code, visualization, diagnostics, uncertainty, and interpretation. The portal is a static directory: it does not collect personal information or depend on a search service. The V Lab 的各个仓库共同连接研究问题、数据、假设、代码、可视化、诊断、不确定性与解释。本门户是纯静态目录，不收集个人信息，也不依赖外部搜索服务。
One verified directoryEvery standalone account HTML is represented once in the searchable catalog.
Learning stays reproducibleVisible code, worked examples, and explicit assumptions remain central.
Clear publication statusLive pages, source-only files, and the interactive application are distinguished.