264 lines
4.9 KiB
Plaintext
264 lines
4.9 KiB
Plaintext
Akaike information criterion (AIC)
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Bayesian information criterion (BIC)
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Bayes factor
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Markov chain Monte Carlo (MCMC)
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Gibbs sampling
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Metropolis–Hastings
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Expectation–Maximization algorithm (EM algorithm)
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Multiple imputation
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Missingness
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Inverse probability weighting
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Propensity score matching
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Marginal structural model
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Generalized estimating equations (GEE)
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Variance inflation factor (VIF)
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Cronbach’s alpha
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Principal component analysis (PCA)
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Factor loading
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Structural equation modeling (SEM)
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Path analysis
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Survival analysis
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Kaplan–Meier estimator
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Cox proportional hazards
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Hazard ratio
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Log‑rank test
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Quantile regression
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Tobit model
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Heckman selection model
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Latent variable model
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Item response theory (IRT)
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Nonparametric test
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Semi‑parametric model
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Kernel density estimation
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Local regression (LOESS)
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Spline regression
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Autoregressive integrated moving average (ARIMA)
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Vector autoregression (VAR)
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Generalized autoregressive conditional heteroskedasticity (GARCH)
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Granger causality
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Time‑series decomposition
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Cross‑validation
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k‑fold cross‑validation
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Leave‑one‑out cross‑validation
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Bootstrapped standard errors
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Jackknife
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Profile likelihood
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Robust standard errors
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Cluster‑robust variance
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Newey–West estimator
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Durbin–Watson test
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Breusch–Pagan test
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Shapiro–Wilk test
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Kolmogorov–Smirnov test
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Levene’s test
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Wilcoxon rank‑sum
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Mann–Whitney U test
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Kruskal–Wallis test
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Friedman test
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Tukey’s HSD
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Benjamini–Hochberg procedure
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False discovery rate
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P‑hacking
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Effect size
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Standardized coefficient
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Interaction term
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Mediation analysis
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Moderation analysis
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Random effects model
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Mixed‑effects model
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Hierarchical linear modeling (HLM)
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Random forest
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Support vector machine
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Decision tree
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ROC curve
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Area under the curve (AUC)
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Sensitivity
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Specificity
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Precision
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Recall
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F1 score
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Confusion matrix
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Silhouette score
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Elbow method
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Hierarchical clustering
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k‑means clustering
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Density‑based clustering (DBSCAN)
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Gaussian mixture model (GMM)
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Entropy measure
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Log‑linear model
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Generalized additive model (GAM)
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Empirical Bayes
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Bayesian credible interval
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Highest posterior density (HPD)
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Dirichlet process
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Gibbs sampler
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Hamiltonian Monte Carlo (HMC)
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Random-walk Metropolis
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Hamiltonian Monte Carlo (HMC)
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Permutation test
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Randomization inference
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Monte Carlo simulation
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Latin hypercube sampling
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Importance sampling
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Sequential Monte Carlo
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Reversible jump MCMC
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Particle filter
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Profile likelihood
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Penalized regression
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Ridge regression
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Lasso (least absolute shrinkage and selection operator)
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Elastic net
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Group lasso
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Adaptive lasso
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Bayesian Lasso
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Variational inference
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Expectation propagation
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Graphical models
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Directed acyclic graph (DAG)
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Structural causal model (SCM)
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Two-stage least squares (2SLS)
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Limited Information Maximum Likelihood (LIML)
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Intraclass correlation coefficient (ICC)
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Gini coefficient
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Theil index
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Shannon entropy (information theory)
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Kernel smoothing
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Nadaraya–Watson estimator
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Loess / LOWESS
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Piecewise regression
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Change‑point analysis
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Run chart
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Control chart (SPC)
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Funnel plot
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Forest plot
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Meta‑regression
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Heterogeneity (I²)
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Cochran’s Q test
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Fixed‑effect meta‑analysis
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Random‑effects meta‑analysis
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Network meta‑analysis
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Case‑control study
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Cohort study
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Cross‑sectional design
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Stepped‑wedge trial
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Matched pairs
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Cluster randomized trial
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Factorial experiment
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Crossover design
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Propensity‑score weighting
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Inverse‑variance weighting
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Sensitivity analysis
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Subgroup analysis
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Effect modification
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Mediation analysis
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Moderation analysis
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Interaction term
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Intravenous ratio estimator
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Mahalanobis distance
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Euclidean distance
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Kriging
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Variogram
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Spatial autocorrelation
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Moran’s I
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Geographically weighted regression (GWR)
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Bootstrapped confidence bands
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Bias–variance tradeoff
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Overfitting
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Underfitting
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Occam’s razor (model parsimony)
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Akaike weight
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Pseudo‑R²
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Hosmer–Lemeshow goodness‑of‑fit
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Jarque–Bera test
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Anderson–Darling test
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Cramér–von Mises test
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Box–Cox transformation
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Log‑link / identity‑link / probit‑link
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Offset term
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Dashboarding
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Data wrangling
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ETL (extract, transform, load)
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Data pipeline
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hypothesis test
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ANCOVA
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cluster
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cluster-
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null hypothesis
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null-hypothesis
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odds
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ratio
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odds-ratio
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survival
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participants
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survey
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trend
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longitudinal
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Interpretation
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Interpret
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r-squared
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Respondent
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Questionnaire
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item
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scale
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Response
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Demographic
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sociodemographic
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Population
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method
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Reliability
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reliable
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valid
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validity
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Coding
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Pretest
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pre-test
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likert
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Experimental
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randomization
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randomized
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Placebo
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Causality
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Confound
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r
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spss
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Manipulation
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manipulate
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manipulated
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python
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syntax
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panel
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Stratification
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Strata
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stratified
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Operational
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Construct
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construct validity
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Criterion validity
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Convergent validity
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Discriminant validity
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Selection
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bias biased
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Nonresponse bias
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Non-response bias
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Attrition
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Dropout
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Hawthorne effect
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Demand characteristics
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Social desirability bias
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Maturation effect
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History effect
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Testing effect
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Instrumentation effect
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Compensatory rivalry
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Diffusion of treatment
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Descriptive
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statistics
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Inferential
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Inference
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correlate
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variance
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Covariance
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skewed
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weighting
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Exploratory
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insignificant |