Consultoria-Estatística-Bioestatística

Métodos estatísticos recentes e clássicos

Compute the 95% bootstrap CI of thresholds in ROC analysis

Compute the 95% bootstrap CI of a ROC curve .

Concordance regression .

Weighted estimation in Cox regression .

Compute the concordance correlation coefficient (CCC), precision, accuracy, total deviation index (TDI), coverage probability (CP) and relative biased square (RBS) for the paired observations (test and target) based on the model proposed by Lin, Hedayat, Sinha and Yang (2002)

Bland-Altman plot with the regression of the differences on the averages

Time-dependent ROC curve estimation from censored survival data

Weighted Logrank Tests for Interval Censored Data

ROC analysis: computes CI of the sensitivity and specificity of cutoffs using bootstrap

permutation test to compare two ROC curves with paired data or with unpaired data.

compute the relative importance of covariates in the proportional hazards regression model and in the logistic regression model.

Statistical models for assessing agreement in method comparison studies with replicate measurements.

Bootstrap investigation of the stability of a cox regression model

Median follow-up time based on the reverse Kaplan-Meier estimator

Randomization log-rank test for small sample size

Permutation log-rank test for small sample size

Supremum Test for Proportionals Hazards Assumption/Supremum Test for Functional Form

Purposeful selection of variables in logistic regression

Multiple comparisons of proportions using permutation tests

Kruskal-Wallis followed by multiple comparisons using permutation tests

Fractional polynomial method and Smoothed scaterplot for linearity assumption of continuous covariates in logistic regression

Lin's concordance correlation coefficient (LCCC) with bootstrap 95% CI

Modelling Cost with Quantile regression and bootstrap

Age-specific reference ranges using quantile regression

Clustered Permutation Test

Exact tests on unordered, singly ordered and doubly ordered RxC tables

Exact tests for superiority Equivalence and non-inferiority of paired and independent binomial data

Exact confidence intervals for differences of proportions

Equivalence and non-inferiority of paired and independent binomial data Exact confidence intervals for differences of proportions

Exact confidence intervals for differences of proportions

Logistic regression with random effects Cox regression with random effects,Poisson regression with random effects

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 . . .

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

T-Tests

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