LeiGao0203

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A method for comparing groups while adjusting for one or more continuous variables, combining ideas from analysis of variance and linear regression.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

Guidance for using analysis of variance (ANOVA), a method for comparing averages across groups. It covers assumptions, multiple-comparison corrections, and reporting practices.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A set of R methods for finding natural groups in data, including hierarchical clustering, K-means, and clustering variables.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A set of classification methods that assigns subjects to known groups from several measurements, including Fisher and Bayes discriminant analysis.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A workflow for exploratory factor analysis (EFA), a method for discovering hidden dimensions behind measurements such as questionnaire items. It includes factor extraction, rotation, interpretation, and Cronbach’s alpha reliability analysis.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A workflow for generalized estimating equations (GEE), a method for analyzing repeated measurements or observations grouped within subjects. It estimates average effects across a population while accounting for within-group correlation.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

Methods for comparing several continuous outcomes at the same time, including descriptive multivariate analysis and Hotelling’s T² test, a multivariable version of the t-test.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A workflow for latent profile analysis, which uses continuous measurements to identify unobserved patient subtypes or profiles. It compares Gaussian mixture models with different numbers of profiles and variance structures.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A statistical model for studying relationships among several categorical variables in a multi-way contingency table, such as a table crossing sex, treatment, and outcome.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

An R-language guide for logistic regression, a statistical method for modeling outcomes such as yes/no results or categories from one or more predictors. It covers several logistic regression types and ways to interpret and assess the models.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A set of R-language guidance for multi-factor analysis of variance (ANOVA), a method for studying how two or more factors affect a continuous measurement. It covers factorial, orthogonal, nested, and split-plot designs, including interactions between factors.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A set of R methods for predicting a continuous outcome from several input variables at once. It covers model building, variable selection, variance inflation factor checks for overlapping predictors, residual analysis, and diagnostics.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A set of R methods for analysing hierarchical or repeated-measurement data with mixed-effects models. These models account for observations grouped within units such as patients within hospitals or repeated measurements within people.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

An R-language guide to partial correlation and canonical correlation. Partial correlation measures the relationship between two variables after accounting for a third; canonical correlation examines relationships between two groups of variables.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

An R-language method called principal component regression. It uses components extracted by principal component analysis as regression inputs, which can reduce problems caused by closely related predictors.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

An R-language guide to making charts from principal component analysis (PCA), a method that summarizes many related measurements into fewer dimensions. It covers scree plots, variable loading plots, sample score plots, and biplots.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

An R-language guide to principal component analysis (PCA), a method that reduces many related measurements to a smaller set of summary dimensions. It covers extracting components and calculating component scores with prcomp() and FactoMineR.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

Regression methods for count data, such as numbers of cases or events, using R. Poisson regression is suited to ordinary count data, while negative binomial regression is used when the counts vary more than Poisson regression allows.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

Methods for turning categories, such as treatment groups or education levels, into variables that regression models can use in R. They include several coding schemes and ways to choose the reference group.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A statistical method for comparing measurements from the same people at multiple times, using R. It covers one-factor and two-factor repeated-measures designs and checks whether key assumptions hold.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

A check for sphericity, an assumption about how repeated measurements relate to one another in repeated-measures ANOVA. It uses Mauchly's test and provides corrections when that assumption is not met.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

Methods for testing models that describe relationships between measured variables and hidden concepts, called latent variables, using R and the lavaan package. They include confirmatory factor analysis, path analysis, and structural equation modeling.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

Charts for showing how survival changes over time, using the survminer package in R. They include Kaplan–Meier curves, cumulative-risk curves, participant counts still being followed, and statistical annotations.

LeiGao0203/R-Medical-Statistics-Skills

Skill Claude CodeCodex

Statistical methods for time-to-event data, such as time until death, relapse, or another outcome, using R. It includes Kaplan–Meier estimates, log-rank tests, and Cox regression, which estimates how factors relate to event risk over time.