PQStat User Guide

• SYSTEM REQUIREMENTS
• INSTALLATION
• SETTINGS

AI TOOLS

• AI: RESULTS INTERPRETER
• DATA QUALITY CHECK
• PROGRAM OPERATION
• WORKING WITH DATASHEETS
• ADDING, REMOVING AND EXPORTING DATASHEETS
• INPUTTING DATA INTO A DATASHEET
• DATASHEET WINDOW
• VARIABLE PROPERTIES
• EDITING DATA
• SORTING DATA
• CONVERTING RAW DATA INTO A CONTINGENCY TABLE
• CONVERTING A CONTINGENCY TABLE INTO RAW DATA
• RESHAPING DATA BETWEEN THE WIDE AND THE LONG FORMAT
• Wide \(\to\) long format
• Long \(\to\) wide format
• FORMULAS
• DATA GENERATION
• MISSING DATA
• TRANSFORMATIONS
• DIRECT AND INDIRECT STANDARDIZATION
• SAMPLING SIMULATION
• SIMILARITY MATRIX
• WORKING WITH RESULTS SHEETS (REPORTS)
• MENU AND LANGUAGE SETTINGS
• LANGUAGE
• MENU
• ORGANIZATION OF WORK WITH THE PROGRAM
• FORM OF DATA ORGANIZATION
• DATASHEET WORKING AREA
• Organising variables into sets
• Case activation/deactivation
• Selecting an area
• Saved selection
• Data filter
• RUNNING ANALYSES MULTIPLE TIMES
• ORGANISING REPORTS INTO SETS
• INFORMATION RETURNED TO THE REPORT
• MARKING STATISTICALLY SIGNIFICANT RESULTS
• PLOTS
• PLOT GALLERY
• Column plots
• Estimator error plots
• Box-and-whisker plots
• Violin plots
• Point plots
• Line plots
• LOCAL LINEAR SMOOTHING TECHNIQUES
• LOWESS
• Kernel smoothing
• KERNEL ESTIMATION
• One-dimensional kernel estimator
• Bland-Altman plot
• Correlation matrices

TEST POWER AND SAMPLE SIZE

• Sample size determination
• Power and sample size for test
• Single-sample t-test
• T-test for dependent groups
• T-test for independent groups
• Chi-square test for single sample variance
• Chi-square test of two variances, Fisher-Snedecor
• Chi-square test of goodness of fit
• Chi-square test (RxC)
• Test for two independent proportions, chi-square (2x2)
• One-way ANOVA for independent groups
• Test for one proportion

DESCRIPTIVE ANALYSES

• Measurement scales
• Tables
• Frequency tables and empirical distributions of data
• Table report
• Analyses for contingency tables
• Descriptive statistics
• Measures of central tendency
• Other measures of location
• Measures of dispersion
• Other distribution attributes
• Descriptive summaries
• PROBABILITY DISTRIBUTIONS
• CONTINUOUS PROBABILITY DISTRIBUTIONS
• PROBABILITY DISTRIBUTION CALCULATOR
• Hypothesis testing

NORMALITY DISTRIBUTION TESTS

• One-dimensional normality tests
• Multivariate normality tests

COMPARISON - 1 GROUP

• graf_1grupa

PARAMETRIC TESTS

• The single-sample \(t\)-test
• The single-sample chi-square test for a population variance

NON-PARAMETRIC TESTS

• The Wilcoxon test (signed-ranks)
• The chi-square goodness-of-fit test
• Tests for one proportion

COMPARISON - TWO GROUPS

• grafy_2grupy

PARAMETRIC TESTS

• The Fisher-Snedecor test
• The \(t\)-test for independent groups
• The \(t\)-test with the Cochran-Cox adjustment
• The t-test for dependent groups

NON-PARAMETRIC TESTS

• The Mann-Whitney U test
• The Wilcoxon test (matched-pairs)
• The Chi-square tests
• The Chi-square test for large tables
• The Fisher test for large tables
• The Chi-square test for small tables
• The Chi-square test corrections for small tables
• The Chi-square test for trend
• The Relative Risk and the Odds Ratio
• The Z test for two independent proportions
• The McNemar test, the Bowker test of internal symmetry
• The Z test for two dependent proportions

COMPARISON - MORE THAN TWO GROUPS

• grafy_wiecje_niz2grupy

PARAMETRIC TESTS

• The ANOVA for independent groups
• Contrasts and POST-HOC tests
• The ANOVA for independent groups with \(F^*\) and \(F''\) corrections
• The Brown-Forsythe test and the Levene test
• The ANOVA for dependent groups
• Mauchly's sphericity
• The ANOVA for dependent groups with Epsilon correction and MANOVA

NON-PARAMETRIC TESTS

• The Kruskal-Wallis ANOVA
• The Jonckheere-Terpstra test for trend
• The Conover ranks test of variance
• The Friedman ANOVA
• The Page test for trend
• The Durbin's ANOVA (missing data)
• The Skillings-Mack ANOVA (missing data)
• The Chi-square test for multidimensional contingency tables
• The Q-Cochran ANOVA
• MULTIPLE COMPARISONS

HOTELLING T-SQUARE

• Hotelling's T-square test for a single sample
• Hotelling's T-square test for dependent groups
• Hotelling's T-square test for independent groups
• Hotelling's T-square test for independent groups with correction for unequal variances
• Box's test for equality of covariance matrices

UNIVARIATE MANOVA

• One-way MANOVA for independent groups

ANALYSIS FOR STRATAS

• The Mantel-Haenszel method for several \(2\)x\(2\) tables
• The Mantel-Haenszel odds ratio
• The Mantel-Haenszel relative risk

CORRELATION

• graf_korelacja
• wprowadzenie

PARAMETRIC TESTS

• The linear correlation coefficients
• The Pearson correlation coefficient significance
• The slope coefficient significance
• Prediction
• Comparison of correlation coefficients
• Comparison of the slope of regression lines

NON-PARAMETRIC TESTS

• The monotonic correlation coefficients
• The \(t\)-test for the significance of the Spearman rank-order correlation coefficient
• The test for the significance of the Kendall's tau correlation coefficient
• Contingency table coefficients and their statistical significance

AGREEMENT ANALYSIS

• graf_zgodnosc

PARAMETRIC TESTS

• The intraclass correlation coefficient and a test to examine its significance

NON-PARAMETRIC TESTS

• The Kendall's concordance coefficient and a test to examine its significance
• The Cohen's Kappa coefficient and a test to examine its significance
• The Fleiss' Kappa coefficient and a test to examine its significance

DIAGNOSTIC TESTS

• Evaluation of a diagnostic test
• The ROC curve
• Selection of the optimal cut-off
• ROC curves comparison

MULTIDIMENSIONAL MODELS

• Matching groups
• Preparation of variables for analysis in multivariate models

MULTIPLE LINEAR REGRESSION

• Multiple linear regression
• Validation and prediction for multiple regression

COMPARISON OF MULTIPLE LINEAR REGRESSION MODELS

• Comparing multiple regression models

LOGISTIC REGRESSION

• Logistic regression
• Validation and prediction for logistic regression

COMPARISON OF LOGISTIC REGRESSION MODELS

• Comparing logistic regression models
• Factorial ANOVA – GLM
• ANCOVA
• Mediation effect

MIXED MODELS

• Introduction: dependent data, fixed effects and random effects

MIXED MULTIPLE REGRESSION

• Mixed multiple regression (linear mixed model)
• Validation and prediction for mixed multiple regression
• Comparing mixed multiple regression models

MIXED LOGISTIC REGRESSION

• Mixed logistic regression (generalized linear mixed model)
• Validation and prediction for mixed logistic regression
• Comparing mixed logistic regression models

COX PH REGRESSION WITH RANDOM EFFECT

• Cox PH regression with random effect (frailty)
• Comparing Cox PH regression models with random effect

DIMENSION REDUCTION AND GROUPING

• Principal component analysis
• CLUSTER ANALYSIS
• Hierarchical methods
• The k-means method

SURVIVAL ANALYSIS

• Life tables
• Kaplan-Meier curves
• Comparison of survival curves
• Cox proportional hazards regression
• Comparison of Cox PH regression models
• Cox regression with time-dependent variables
• Competing risks analysis – the Fine-Gray model

META-ANALYSIS

• Introduction to meta-analysis and data preparation
• Summary effect – fixed effect and random effect
• Heterogeneity testing
• Sensitivity testing
• Asymmetry testing (publication bias)
• Cumulative meta-analysis
• Group comparison
• Meta-regression

RELIABILITY ANALYSIS

• Scale reliability
• TEST SUMMARIES
• THE WIZARD
• OTHER NOTES
• FILE FORMATS
• literatura

Spatial analysis manual