Biostatistics Home Page

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1], Jacki Buros [2], Sabina A. Murphy, M.P.H. [3], Jie Qin, M.S. [4]

A

Absolute deviation	Absolute risk reduction	Accuracy and precision	Admissible decision rule
Akaike information criterion	Algorithms for calculating variance	Allan variance	Alignments of random points
Alternate hypothesis	Analysis of categorical data	AMOVA	ANORVA
Ancillary statistic	Anderson-Darling test	ANCOVA	Anomaly time series
ANOVA	ANOVA-simultaneous component analysis	Area compatibility factor	Arithmetic mean
Attributable risk	Autocorrelation	Autocovariance	Autoregressive conditional heteroskedasticity
Autoregressive integrated moving average	Autoregressive moving average model	Average

B

Bar chart	Bartlett's test	Baseball statistics	Basu's theorem
Bayes' theorem	Thomas Bayes	Bayes factor	Bayesian inference
Bayesian linear regression	Bayesian model comparison	Bayesian network	Bayesian search theory
Behrens-Fisher problem	Belief propagation	Bessel's correction	Beta coefficient
Beta-binomial model	Beta distribution	Bhattacharya coefficient	Bias (statistics)
Biased sample	Binomial distribution	Allan Birnbaum	Binary classification
Binomial distribution	Binomial test	Bioinformatics	Blind experiment
Blocking (statistics)	Block design	Blocking (statistics)	Bonferroni correction
Bootstrapping	Bootstrap aggregating	Bootstrap (statistics)	Bounded real-valued data
Box-Cox transformation	Box plot	Leo Breiman	Breusch-Pagan statistic
Ladislaus Bortkiewicz	Breusch-Pagan test	Business statistics

C

Calibration (probability) - subjective probability	Calibration (statistics) - the statistical calibration problem	Canonical analysis	Canonical correlation
Case-control	Categorical variable	Cauchy-Schwarz inequality	Census
Censoring (statistics)	central limit theorem	Chapman–Robbins bound	Characteristic function (probability theory)
Chauvenet's criterion	Chebyshev's inequality	Chernoff bound – a special case of Chernoff's inequality	Chernoff's inequality
Chi distribution	Chi-square distribution	Chi-square test	Chow test
Circular statistics	Classic data sets	Clinical prediction rule	Clinical trial
Closed testing procedure	Cluster sampling	Cochran-Armitage test for trend	Cochrane-Orcutt estimation
Cochran's theorem	Coefficient of determination	Coefficient of variation	Cohen's kappa
Cohort (statistics)	Cohort study	Combinatorics	Common- and special-causes
Comparing means	Complementary event	Completeness (statistics)	Compositional data
Computational learning theory	Common- and special-causes	Comparing means	Complementary event
Completeness (statistics)	Compositional data	Computational learning theory	Continuous probability distribution
Confidence interval	Confidence band	Confounding factor	Conjoint analysis
Control group	Contingency table	Conditional change model	Conditional distribution
Conditional independence	Conditional probability	Concordance correlation coefficient	Concordant pair
Concrete illustration of the central limit theorem	Cook's distance	Consistency (statistics)	Contingency table
Continuous distribution	Control chart	Control limits	Control variate
Controlling for a variable	Copula (statistics)	Correlation	Correspondence analysis
Correlation implies causation	Correlation ratio	Counternull	Covariance
Covariance matrix	Cricket statistics	Cronbach's α	Cross tab
Cross-validation	Cumulant	Cumulative distribution function	Curve fitting
Harald Cramér	Cramér-Rao bound	Cramér-von-Mises criterion	Critical region
Critical value	Cross-sectional study	Cumulative distribution function	Cumulative incidence

D

Data	D'Agostino's K-squared test	d-separation	Data clustering
Data mining	Data point	Data set	Data transformation (statistics)
De Finetti's theorem	Decision theory	Degrees of freedom (statistics)	Delta method
Deming regression	Demographics	Demography	Demographic statistics
Density estimation	Illustration of density estimation	Dependent and independent variables	Descriptive statistics
Design matrix	Descriptive statistics	Design of experiments	Detection theory
Deviance (statistics)	Deviance information criterion	Dickey-Fuller test	Dimension reduction
Directional statistics	Discrete choice analysis	Discrete distribution	Discrete probability distribution
Dot plot (statistics)	Dummy variable	Duncan's new multiple range test	Durbin-Watson statistic
Dutch book

E

Eclectic probability	Ecological correlation	Ecological fallacy	Economic statistics
Edgeworth series	Efficiency (statistics)	Effect size	Empirical Bayes method
Empirical distribution function	Empirical process	Energy statistics	Engset calculation
Epidemiological methods	Epidemiological study	Epidemiological transition	Epidemiology
Errors and residuals in statistics	Errors-in-variables model	Estimation	Estimation theory
Estimation of covariance matrices	Estimator	Evidence-based medicine	Ewens's sampling formula
Exact test	Expectation-maximization algorithm	Expected value	Experiment
Experimental techniques	Explained sum of squares	Explained variance	Exploratory data analysis
Explanatory variable	Exponential distribution	Exponential family	Exponential smoothing
Experimental design	Extreme value theory	Extrapolation

F

Failure rate	F-distribution	F-test	Factor analysis
Factorial experiment	Fair coin	False discovery rate	False negative
False positive	Familywise error rate	File drawer problem	Fisher information
Ronald Fisher	Fisher's exact test	Fisher's linear discriminator	Fisher's method
Fisher transformation	Fixed effects estimator	Fixed-effects model	Fleiss' kappa
Forecast error	Forest plot	Fractional factorial design	Freedman-Diaconis rule
Frequency	Frequency distribution	Frequency probability	Friedman test
Functional data analysis	F-test

G

G-test	Galton-Watson process	Galton's problem	Gamma distribution
Gamma test (statistics)	Gauss-Markov theorem	Generalized canonical correlation	Generalized linear model
Generalized method of moments	Geodemographic segmentation	Geometric distribution	Geostatistics
Gibbs sampling	Gini coefficient	Gold standard (test)	Good-Turing frequency estimation
Goodness of fit	William Sealey Gosset	Graeco-Latin square	Graphical model

H

Halton sequences	Hannan-Quinn information criterion	Hausman specification test	Hazard ratio
Heteroscedasticity	Heteroscedasticity-consistent standard errors	Hidden Markov model	Hierarchical linear modeling
Histogram	Holm-Bonferroni method	Homogeneity (statistics)	Homoscedasticity
Hotelling's T-square distribution	Howland will forgery trial	Hubbert curve

I

Illustration of the central limit theorem	Imputation (statistics)	Incidence	Independent component analysis
Independent identically-distributed random variables	Index case (medicine)	An inequality on location and scale parameters	Inferential statistics
Information bottleneck method	Information geometry	Instrumental variable	Intention to treat analysis
Interquartile range	Interaction	Interclass correlation	Interclass dependence
Interquartile range	Inter-rater reliability	Interval estimation	Intervening variable
Intraclass correlation	Inverse-Wishart distribution	Inverse transform sampling	Item response theory
Iteratively re-weighted least squares

J

James-Stein estimator	Jarque-Bera test	Jeffreys prior	Jackknife
Jensen's inequality

K

Kaplan-Meier estimator	Kappa coefficient	Kappa statistic	Kendall tau distance
Kendall tau rank correlation coefficient	Kent distribution	Kernel (statistics)	Kolmogorov-Smirnov test
Kriging	Kruskal-Wallis one-way analysis of variance	Kuiper's test	Kullback-Leibler divergence
Kurtosis

L

Law of total probability	Latent variable, latent variable model	Latent class model	Latin square
Latin hypercube sampling	Law of large numbers	Law of total cumulance	Law of total expectation
Law of total probability	Law of total variance	Lead time bias	Least squares
Learning theory (statistics)	Lehmann-Scheffé theorem	Levene's test	Level of measurement
Lies, damned lies, and statistics	Life expectancy	Likelihood principle	Likelihood-ratio test
Lilliefors test	Linear discriminant analysis	Linear model	Linear prediction
Linear regression	List of probability topics	List of statistical packages	List of statisticians
Local regression	Location parameter	Location-scale family	Logistic regression
Logit	Log-linear modeling	Logrank test	Lognormal distribution
Longitudinal study	Long-range dependency	Long-tail traffic	Lorenz curve
Loss function

M

M-estimator	Machine learning	Mahalanobis distance	Main effect
Majorization	Mann-Whitney U	MANOVA	Mantel test
MAP estimator	Margin of error	Marginal distribution	Marginal likelihood
Marginal model	Markov chain geostatistics	Markov chain Monte Carlo	Mathematical modelling in epidemiology
Mathematical statistics	Mauchly's sphericity test	Maximum likelihood	Maximum parsimony
McNemar's test	Mean	expected value	Mean deviation
Mean difference	Mean of circular quantities	Mean reciprocal rank	Mean squared error
Mean squared prediction error	level of measurement.	Median	Median test
Mean time between failures	Memorylessness	Meta-analysis	Method of moments (statistics)
Metropolis-Hastings algorithm	Midhinge	Midrange	Minimax
Minimum-variance unbiased estimator	Minimum viable population	Minque	Misuse of statistics
Mixture model	Mode	Model modeling	Model selection
Modifiable areal unit problem	Moment (mathematics)	Moment-generating function	method of moments (statistics)
Monte Carlo method	Mortality rate	Moving average	Multicollinearity
Multidimensional scaling	Multilevel models	Multiple comparisons	Multiple correlation
Multiple testing correction	Multivariate statistics	Multivariate normal distribution	Multivariate Student distribution
Mutually exclusive events

N

National and international statistical services	Nested case-control study	Negative binomial distribution	Negative predictive value
Negative relationship	Neyman-Pearson lemma	Noncentral chi distribution	Noncentral chi-square distribution
Noncentral F-distribution	Noncentral hypergeometric distributions	Nonlinear dimensionality reduction	Nonlinear regression
Non-negative matrix factorization	Non-parametric statistics	Nonprobability sampling	Normal approximation
Normal distribution	rankit	Normality test	Normally distributed and uncorrelated does not imply independent
np-chart	Null hypothesis	Number needed to harm	Number needed to treat

O

Observational error	Odds	Odds ratio	Omnibus test
Omitted-variable bias	Opinion poll	Order statistic	Ordered logit
Ordered probit	Ordinal data	Ordination (statistics)	Outlier
Overfitting

P

p-chart	Page's trend test	Paleostatistics	Parallel factor analysis
Parametric model	Parametric statistics	Pareto chart	Pareto interpolation
Partial least squares	Partial autocorrelation	Parzen window	Path analysis
Path coefficient	Karl Pearson	Pearson's chi-square test	Pearson product-moment correlation coefficient
Percentile	Percentile rank	Periodic variation	Perioperative mortality
Peirce's criterion	Pitman-Koopman-Darmois theorem	Pivotal quantity	Point prevalence
Point estimation	Poisson distribution	Poisson process	Poisson regression
Polychoric correlation	Population	Population dynamics	Population modeling
Population statistics	Population viability analysis	Portmanteau test
Positive predictive value	Posterior probability	Prediction interval	Prevalence
Principal components analysis	Prior probability distribution	Probability	Probability density function
Probability distribution	Probability mass function	Probability of error	Probability theory
Probit	Proper linear model	Propensity score	Proportional hazards models
Prosecutor's fallacy	Psephology	Pseudocount	Psychological statistics
P-rep	P-value	Pythagorean expectation

Q

Q test	Q-Q plot	Quadratic form (statistics)	Quantile
Quantitative marketing research	Quantitative psychological research	Quantitative research	Quartile
Quartile coefficient of dispersion	Quota sampling	Queuing theory in teletraffic engineering	Adolphe Quetelet

R

Random data—see randomness	Random effects estimation	Random effects model	Random sampling
Random sequence	Random variable	Randomization	Randomized controlled trial
Randomness tests	Range (statistics)	Rank-size distribution	Rankit
Rao-Blackwell theorem	Rasch model	Ratio distribution	Polytomous Rasch model
Raw score	Receiver operating characteristic	Recurrence plot	Recursive least squares
Recursive partitioning	Regression analysis	Regression dilution	Regression fallacy
Regression toward the mean	Rejection sampling	Relative risk	Reliability (statistics)
Reliability theory	Reliability theory of aging and longevity	Resampling (statistics)	errors and residuals in statistics.
Residual sum of squares	Response variable	Ridge regression	Brian D. Ripley
Robbins lemma	Robust regression	Robust statistics	Rothamsted Experimental Station
R programming language	Rubin Causal Model	Rule of succession

S

Sacramental index	Sample mean and covariance	Sample size	Sample space
Sampling (statistics)	Sampling bias	Sampling distribution	Sampling error
simple random sampling	systematic sampling	stratified sampling	cluster sampling
multistage sampling	nonprobability sampling	slice sampling	Scale parameter
Scatterplot	Schwarz criterion	Score test	Scoring rule
Scott's Pi	Secular trend	Secular variation	Seemingly unrelated regression
Segmented regression	Selection bias	Selective recruitment	Semiparametric model
Semivariance	Sensitivity (tests)	Separation test	Sequential probability ratio test
Sexual dimorphism measures	Shapiro-Wilk test	Sheppard's corrections	Siegel-Tukey test
Sign test	Simon model	Simpson's paradox	Simulation
Skewness	Small area estimation	Social statistics	Spatial analysis
Spatial dependence	Spearman's rank correlation coefficient	Spearman-Brown prediction formula	Species discovery curve
Specificity (tests)	Spectrum continuation analysis	S programming language	Splines
SPSS	Spurious relationship	Squared deviations	St. Petersburg paradox
Standard deviation	Standard error	Standard score	Stanine
Statistic	Statistical arbitrage	Statistical assembly	Statistical assumption
Statistical classification	Statistical deviance—see deviance (statistics)	Statistical dispersion	Statistical efficiency
Statistical epidemiology	Statistical estimation	Statistical geography	Statistical hypothesis testing
Statistical independence	Statistical inference	Statistical learning theory	Statistical Methods for Research Workers — a book by Ronald Fisher
Statistical model	Statistical noise	Statistical package	Statistical parameter
Statistical parametric mapping	List of statistical phenomena	Statistical population	Statistical power
Statistical process control	Statistical range -- see range (statistics)	Statistical regularity	Statistical sample
Statistical significance	Statistical survey	Statistical theory	Statistical unit
Statistics	Statistics Belgium	Statistics New Zealand	Statistics Online Computational Resource
Stein's example	Stein's lemma	Stepwise regression	Stochastic kernel
Studentized range	Studentized residual	Student's t-distribution	Student's t-test
Sufficiency (statistics)	Sum of squares	Summary statistics	Survey sampling
Survival analysis	Survival rate	Survival function	System dynamics
Systematic review	Systematic error	(also see bias (statistics)	and errors and residuals in statistics)

T

t-distribution; see Student's t-distribution	Taguchi methods	Taylor expansions for the moments of functions of random variables	Test-retest
Time series	Time-series analysis	Testing hypotheses suggested by the data	Tolerance interval
Transect	Treatment learning	Trend estimation	Truncated mean
Two-tailed test	Type I and type II errors

U

U test	Unbiased estimator—see bias (statistics)	Unbiased estimation of standard deviation	Uncomfortable science
Unexplained variance	Unit root test	Unit-weighted regression	Urn problem

V

Validity (statistics)	Variance	Variance-to-mean ratio	Variogram
VC dimension	VC theory	von Mises-Fisher distribution	Vysochanskiï-Petunin inequality

W

Wald test	Wald-Wolfowitz runs test	Weibull distribution	Welch-Satterthwaite equation
Wilks' lambda distribution	Winsorized mean	White test	Wilcoxon signed-rank test
Window function	Winsorising	Wishart distribution	Wold's theorem

X

X-12-ARIMA

X-bar/R chart

Y

Yamartino method

Yates' correction for continuity

Yule-Simon distribution

Z

Z score	z-factor	z statistic	Z-test
Zipf-Mandelbrot law

---