Métodos estatísticos clássicos e recentes

Exact Unconditional Inference . . . . . . . . . . . . . . . . . . . . . .
Exact Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . .
Monte Carlo Algorithms . . . . . . . . . . . . . . . . . . . . . . .
Exact Permutational Inference . . . . . . . .
One-Sample Goodness of Fit . . . . . . . . . . . . . . . . . . . .
Paired Samples . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Two Independent Samples . . . . . . . . . . . . . . . . . . . . . .
K Related Samples . . . . . . . . . . . . . . . . . . . . . . . . . . .
K Independent Samples . . . . . . . . . . . . . . . . . . . . . . .
One Sample Rates and Proportions . . . . . . . . . . . . . . . .
Stratified Poisson Rates . . . . . . .
Two Related Binomials . . . . . . . . . . . . . . . . . . . . . . . .
Two Independent Binomials . . . . . . . . . . . . . . . . . . . . .
Stratified 2 x 2Tables . . . . . . . . . . . . . . . . . . . . . . . . .
C Ordered Binomials . . . . . . . . . . . . . . . . . . . . . . . . .
Two Ordered Multinomials . . . . . . . . . . . . . . . . . . . . . .
Unordered R x CTable . . . . . . . . . . . . . . . . . . . . . . . .
Singly Ordered R x CTable . . . . . . . . . . . . . . . . . . . . . .
Doubly Ordered R x CTable . . . . . . . . . . . . . . . . . . . . .
Stratified R x CTables (CMH) . . . . . . . . . . . . . . . . . . . .
C Binomial Populations . . . . . . . . . . . . . . . . . . . . . . .
Multiple Binary Outcome . . . . . . . . . . . . . . . . . . . . . .
Ordinal Response . . . . . . . . . . . . . . . . . . . . . . . . . .
Nominal Response . . . . . . . . . . . . . . . . . . . . . . . . . . .
Measures of Agreement . . . . . . . . . . . . . . . . . . . . . . .
Random Number Seed . . . . . . . . . . . . . . . . . . . . .
Lilliefors Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Runs Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Methods for Unstratified Data . . . . . . . . . . . . . . . . . . . .
Covariate Adjustment for Stratified Data . . . . . . . . . . . . .
Sign Tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Wilcoxon Signed Rank Test . . . . . . . . . . . . . . . . . . . . . . . . .
Unstratified Data . . . . . . . . . . . . . . . . . . . . . . .
Hodges-Lehmann Estimation . . . . . . . . . . . . . . . . . . . . . . .
Point Estimate of the Median . . . . . . . . . . . . . . . . . . . .
Exact Confidence Interval for the Median . . . . . . . . . . . . .
Asymptotic Confidence Interval for the Median . . . . . . .
Permutation Test with Arbitrary Scores . . . . . . . . . . . . . . . . . .
McNemar’s Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Exact Conditional Test . . . . . . . . . . . . . . . . . . . . . . . .
Exact Unconditional Test . . . . . . . . . . . . . . . . . .
Marginal Homogeneity Test . . . . . . . . . . . . . . . . . . . . . . . . .
Wilcoxon-Mann-Whitney Test . . . . . . . . . . . . . . . . . . . . . . .
Hodges-Lehmann Estimation . . . . . . . . . . . . . . . . . . . . . . . .
Normal Scores Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Savage Scores Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Siegel-Tukey Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Ansari-Bradley Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Klotz Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Mood Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Conover Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Jonckheere-Terpstra Test . . . . . . . . . . . . . . . . . . . . . . . . . .
Linear-by-Linear Association Test . . . . . . . . . . . . . . . . . . . . .
K-Sample Logrank Test . . . . . . . . . . . . . . . . . . . . . . . . . . . .
K-Sample Wilcoxon-Gehan Test . . . . . . . . . . . . . . . . . . . . . . .
Test for Trend with Censored Survival Data . . . . . . . . . . . . . . . .
ONE SAMPLE RATES AND PROPORTIONS
Multinomial Estimates . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Poisson Test and Confidence Interval . . . . . . . . . . . . . . . . . . .
Testing for Homogeneity of Rates . . . . . . . . . . . . . . . . .
Confidence Interval for the Poisson Rate Parameter . . . . . .
STRATIFIED POISSON SAMPLES
The Poisson Model . . . . . . . . . . . . . . . . . . . . . . . . . . .
Testing the Homogeneity of Relative Risks . . . . . . . . . . . .
Exact Test of Homogeneity . . . . . . . . . . . . . . . . . . . . . .
Asymptotic Test of Homogeneity . . . . . . . . . . . . . . . . . .
Estimating and Testing the Common Relative Risk . . . . . . .
Exact Confidence Interval for Common Relative Risk . . . . .
Exact Hypothesis Test that the Relative Risk is Unity . . . . .
Asymptotic Inference . . . . . . . . . . . . . . . . . . . . . . . . .
Trend Test for c Ordered Poisson Populations . . . . . . . . . .
Computing the Asymptotic p-value . . . . . . .
Computing the Exact p-value . . . . . . . . . . . . . . . . . . . .
Monte Carlo Inference . . . . . . . . . . . . . . . . . . . . . . . . .
Exact Conditional McNemar’s Test . . . . . . . . . . . . . . . .
Exact Conditional Confidence Interval for the Odds Ratio . .
Exact Unconditional McNemar’s Test . . . . . . . . . . . . . . .
UnconditionalTest of Non-Inferiority: Difference of Proportions
Unconditional Test of Equivalence: Difference of Proportions
Unconditional Confidence Interval on Difference of Proportions
Conditional Exact Confidence Interval on the Odds Ratio . . .
Unconditional McNemar’s Test . . . . . . . . . . . . . . . . . . .
UnconditionalTest of Non-Inferiority: Difference of Proportions
Unconditional Test of Equivalence: Difference of Proportions
Unconditional Confidence Interval on Difference of Proportions
Conditional Exact Hypothesis Tests . . . . . . . . . . . . . . . .
Conditional Exact Confidence Interval for the Odds Ratio . .
Barnard’s Unconditional Exact Hypothesis Test of Superiority
Unconditional ExactTest of Non-Inferiority: Binomial Difference
Unconditional Exact Test of Equivalence: Binomial Difference
Unconditional Exact Test of Non-Inferiority: Binomial Ratio .
Unconditional Exact Test of Equivalence: Binomial Ratio . . .
Unconditional Exact Confidence Intervals for the Difference of
Conditional Exact Tests . . . . . . . . . . . . . . . . . . . . . .
Conditional Exact Confidence Interval on the Odds Ratio . .
Barnard’s Unconditional Exact Test of Superiority . . . . . . .
Exact Test of Non-inferiority: Binomial Difference . . . . . . .
Exact Test of Equivalence: Binomial Difference . . . . . . . . .
Exact Test of Non-inferiority: Binomial Ratio . . . . . . . . . . .
Exact Test of Equivalence: Binomial Ratio . . . . . . . . . . . .
Exact Confidence Interval: Binomial Difference . . . . . . . .
Permutation Test with General Scores . . . . . . . . . . . . . . . . . . .
Logrank Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Generalized Wilcoxon-Gehan Test . . . . . . . . . . . . . . . . . . . . .
Kolmogorov-Smirnov Test . . . . . . . . . . . . . . . . . . . . . . . . . .
Wald-Wolfowitz Runs Test . . . . . . . . . . . . . . . . . . . . . . . . . .
K-SAMPLE INFERENCE: RELATED (BLOCKED) SAMPLES
Friedman Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Cochran’s QTest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Friedman Aligned Rank Test . . . . . . . . . . . . . . . . . . . . . . . .
Quade Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
K-SAMPLE INFERENCE: INDEPENDENT SAMPLES
Median Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Kruskal-Wallis Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Normal Scores Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Savage Scores Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Permutation One-Way ANOVA with General Scores . . . . . . . .

Crossover Data Plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Tests for Crossover with Continuous Data . . . . . . . . . . . . . . . . . . . . . . . . . .
CROSSOVER DATA PLOTS
Period−2 Vs. Period−1 Plot /Subject Profile Plot /Treatment-by-Periods
Crossover Plots using Crossover Subjects Continuous Data . . . .
Mainland-Gart test . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Prescott’s test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Poisson Regression,
Negative Binomial Regression,
Zero-inflated Poisson Regression,
Zero-inflated Negative Binomial Regression,
Zero-truncated Poisson,
Zero-truncated Negative Binomial
Accelerated Life Testing
Analysis of Covariance
Analysis of Variance
Appraisal Models
Area Under the Curve
ARIMA / Box - Jenkins
Balanced Incomplete Block Designs
Bar Charts
Barlett Variance Test
Beta Distribution Fitting
Binary Diagnostic Tests
Bioequivalence tests
Bootstrap Confidence Intervals
Box Plots
Box-Behnken Designs
C, P, NP, U Charts (QC)
Canonical Correlation
Capability Analysis (QC)
Central Composite Designs
Chi-Square Test
Circular Data Analysis
Clustering - Hierarchical
Clustering - Kmeans
Comparative Histograms
Contingency Table Analysis
Correlated Proportions
Correlation Matrices
Correspondence Analysis
Cox Regression
Cross-Over Design Analysis
Cumulative Incidence Analysis
Curve Fitting: Built-In Models
Curve Fitting: Model Searching
Curve Fitting: Ratio of Polynomials
Curve Fitting: User-Specified Models
Cusum Chart (QC)
Data Matching - Optimal and Greedy
Descriptive Statistics
Discriminant Analysis
Distribution Regression
Dot Plots
Double Dendrograms
Equivalence Tests
Error Bar Charts
EWMA Chart (QC)
Exact Tests - Proportions
Exponential Smoothing
Extreme Value Fitting
Extreme Value Regression
Factor Analysis
Factorial Design Analysis
Farrington-Manning Proportions
Feedback Model - Real Estate Appraisal
Fisher's Exact Test
Forecasting
Fractional Factorial Designs
Freidman’s Test
Frequency Distributions
Gage R and R
Gamma Fitting
Gart-Nam Proportions
Geisser-Greenhouse Correction
General Linear Models
Greedy Data Matching
Harmonic Analysis
Hazard Functions/Rates
Histograms
Holt - Winters Forecasting
Hotelling’s T-Squared
Hybrid Appraisal Models
Individuals Chart (QC)
Item Analysis
Item Response Analysis
Kaplan-Meier Survival Analysis
Latin Square Designs
Levey-Jennings Chart
Life-Table Analysis
Linear Programming
Linear Regression Logistic Regression
Loglinear Models Lognormal Fitting
Lognormal Regression
Log-Rank Survival Tests
Longitudinal Mixed Models
MANOVA
Mann-Whitney Test
Mantel-Haenszel Test
Matched Case-Control
McNemar Test
Merging Two Databases
Meta-Analysis
Mixed Models
Moving Average Chart (QC)
Multidimensional Scaling
Multinomial Logistic Regression
Multiple Comparison Tests
Multiple Regression
Multiple Regression with Serial Corr.
Multivariate Analysis
Multi-Way Tables
Nondetects Analysis
Nondetects Regression
Nonlinear Regression
Nonparametric Tests
Normality Tests
Odds Ratio Analysis
One-Sample T-Tests
One-Way ANOVA
Optimal Data Matching
Orthogonal Regression
Paired T-Tests
Parametric Survival Regression
Pareto Chart (QC)
Percentile Plots
Pie Charts
Placket-Burman Designs
Plots of Means
Poisson Regression
Power Calculations
Principal Components Analysis
Principal Components Regression
Probit Analysis
Propensity Score Matching
Propensity Score Stratification
Proportion Tests
Proportional-Hazards Regression
Quality Control
R and R Study
Randomization Tests
Regression Analysis
Reliability Distribution Fitting
Repeated Measures ANOVA
Response Surface Designs
Response Surface Regression
Ridge Regression
Robust Regression
ROC Curves
Rose Plots
Sales Ratio Reports
Scatter Plots
Scatter Plot Matrices
Score Test - Proportions
Screening Designs
Seasonal Analysis
Simulator
Spearman's Correlations
Spectral Analysis
Stepwise Regression
Stratification of Data
Surface Plots
Survival Analysis
Tables of Means, Etc.
Taguchi Designs
Time Calculator
Time Series Analysis
Tolerance Intervals
Trend Analysis
Trimmed Means
T-Tests
T-Tests directly from Means and SD's
Two-Sample T-Tests
Variable Selection
Violin Plots
Weibull Fitting
Weibull Regression
Westgard Rules
Wilson’s Score - Proportions
Within-Subjects Design and Analysis
Wilcoxon Test
Xbar-R Chart (QC)
Wilcoxon Signed Rank.
Hodges-Lehmann Estimates
Permutation
McNemar
Marginal Homogeneity...
Wilcoxon Mann Whitney.
..Hodges-Lehmann Estimates
...Normal Scores...Savage Scores...
Siegel-Tukey...
Ansari-Bradley..
.Klotz...Mood...Conover...Permutation...

Logrank...
Wilcoxon-Gehan..
.Kolmogorov Smirnov...
Wald Wolfowitz Runs...

Friedman...
Kendall's W...
Cochran's Q..
.Median...Kruskal Wallis...
Normal Scores...Savage...
ANOVA with General Scores...
Jonckheere-Terpstra...
Linear-by-Linear Association...
Logrank (Peto & Peto)...
Wilcoxon-Gehan (Breslow)...
Trend (Tarone & Ware)...
Homogeneity of Relative Risk…
CI on Common Relative Risk…
Trend in C ordered Poisson rates…
Fisher's Exact Test…
Pearson's Chisquared Test…
Likelihood Ratio Test…
Barnards Test…
Test of NonInferiority…
Test of Equivalence..
McNemars Test
Homogeneity of OddsRatios…
Cochran-Armitage Trend Test..
.Permutation with general scores...
Trend Test for Clustered data...
Test for Interaction across strata..
.Kruskal-Wallis…
Normal Scores…
Savage Scores…
ANOVA with Arbitrary Scores…
JonckheereTerpstra...
Linear-by-linear Association…
Cohen's Kappa…
Weighted Kappa…

Reference interval
Analysis of Serial measurements with group comparison
Bland & Altman plot for method comparison
Mountain plot
Deming regression
Passing & Bablok regression
Concordance correlation coefficient
Receiver Operating Characteristics (ROC) curve analysis,
Comparison of ROC curves

Meta-Analise

Fixed effect and/or random effects models
Inverse variance,Mantel Haenszel, or
Peto weights
Meta regression
Publication bias: Funnel plots using precision or
standard error, Classic Fail-Safe N, Orwin’s Fail Safe N, Trim and Fill,
Rank correlation test, Regression test

Técnicas de Mineração de dados ( " Data Mining ")

Neural Networks
Independent Components Analysis
Standard Classification CHAID
Exhaustive Classification CHAID
General Classification CHAID
Standard Regression CHAID
Exhaustive Regression CHAID
General Regression CHAID
Generalized EM & k-Means Clustering
MARSplines (Multivariate Adaptive Regression Splines)

Cálculo de tamanho de amostra

Modelos de tamanho amostra para :

Means - 1 or 2 Groups
Means - Correlated or Paired
Means - Cross-Over Designs
Means - Many (ANOVA)
Survival Analysis
Variances
Confidence Intervals - SD/Variance
ROC Curves
Equivalence
Correlated proportions
Cross-over designs
Normality Tests
Confidence Intervals
Proportion - 1 Group
Equivalence tests
Inequality tests
Non-inferiority tests
One-stage design
Simon’s two-stage designs
Three-stage design

Proportions - 2 Groups
Cluster-randomization designs
Equivalence tests
Difference tests
Group sequential test
Inequality tests
Matched case/control
Non-inferiority tests

Proportions - Correlated or Paired
Equivalence tests
Inequality tests
Non-inferiority tests

Regression/Correlation
Cox regression
Cronbach’s alpha
Intraclass correlation
Kappa Test for Agreement Between Two Raters
Linear regression
Logistic regression-binary
Logistic regression-normal
Multiple regression
One correlation
Poisson regression
Two correlations

Non-Inferiority
Correlated proportions
Cross-over designs
One mean
One proportion
Two means
Two proportions
Paired means
Paired proportions

Group Sequential Tests
Alpha spending functions
Lan-DeMets approach
Mean tests
Proportion tests
Log-rank tests

Design of Experiments
Balanced Incomplete Block Designs
D-Optimal Designs
Design Generator
Fractional Factorial Designs
Latin Square Designs
Randomization Lists
Response Surface Designs
Screening Designs
Taguchi Designs
Two-Level Designs

Calculo de amostra para estudos genéticos de associação

environmental factors,
gene-environment (G×E) interaction,
gene-gene (G×G) interaction.

 

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