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StatFinale: Examples and Analysis
N0　 Flow Chart for Procedure Selection
N1        Single Sample (Data Analysis)
N2          Single Sample (Rates & Proportions)
N3          Two Samples (Independent)
N4          One Sample, Related Two Measures
N5          Multiple Samples (Independent)
N6          Multiple Samples (Related)
N7          Simple Linear/Multiple Correlation & Regression
N8          Experimental Design & Analysis
N9          Survival Analysis
N 10　 Epidemiological Analysis
N 11　 Diagnostic Procedures
N0　Flow Chart for Procedure Selection
F１：　Single Sample
F２：　Single Sample: Rates & Proportions
F３：　Two Samples: Independent Interval & Ordinal Scale Data
F４：　Two Samples: Independent Categorical Scale Data
F５：　One Sample: Related Two Measures Interval & Ordinal Scale Data
F６：　One Sample: Related Two Measures Categorical Scale Data
F７：　Multiple Samples (Independent)
F８：　Multiple Samples (Related)
F９：　Correlation & Regression: Simple Linear/Multiple
N1　Single Sample (Data Analysis)
Interval Scale Data Analysis　　　INFO
Scatter Graph   ScatterG
Population Mean & Variance: Test & Estimation　POP
Assessment of Normality 1: Histogram (10 Classes)  　HIST
Assessment of Normality 2: Kurtosis & Skewness   INFO　(above mentioned)
Assessment of Normality 3: Goodness of Fit Test   GOFNORM
Assessment of Normality 4: Data Transformation　TRANS
Assessment of Normality 5: Log-Transformation   HISTLOG
Assessment of Normality 6: Kolmogorov-Smirnov Test   KOLM
Runs Test: Interval Scale   RUN1
Runs Test: Categorical Scale   RUN2
Up and Down Runs Test   UPDOWN
N2　Single Sample (Rates & Proportions)
Test & Confidence Interval for Population Proportion 　PROP1
Chi-square Goodness of Fit Test   GOFCHI
Assessment of Normality 3: Goodness of Fit Test   GOFNORM – N2
Goodness of Fit Test for Poisson Distribution   GOFPOIS
Goodness of Fit Test for Binomial Distribution   GOFBD
N3　Two Samples (Independent)
z Test; Two-sample t Test; Test for Equal Variance  ztTEST
Mann-Whitney Test   MANN
Median Test: Tukey-type Tests   MEDIAN – N3
Comparison of Two Proportions   PROP2
Mann-Whitney Test (Tabulated Form)　MANNW
Chi-square Test; Fisher’s Exact Test   CHI & FISHER
Chi-Square Test (2 × 12 Contingency Table)          CHI12
(Cochran-) Armitage Test   TREND
Cumulative Chi-square Test (2 × 6 Contingency Table)   CUCHI
N4　One Sample, Related Two Measures
One-sample t Test (Paired t Test)    pairT
Wilcoxon Signed-Ranks Test (Original)   pairWC
Wilcoxon Signed-Ranks Test (Modified)   pairWC0
Sign Test   SIGN
McNemar Test McN
N5　Multiple Samples (Independent)
One-Way Analysis of Variance   ANOVA1
Kruskal-Wallis Test Dunn, Tukey-type, Newman-Keuls-type Tests   KRUS
Kruskal-Wallis Test (Tabulated Form) 　Dunn, Tukey-type, Newman-Keuls-type Tests   KRUSW
Median Test: Tukey-type Tests   MEDIAN
Chi-square Test (7 × 7 contingency table)   CHIM

N6　Multiple Samples (Related)
Two-Way Analysis of Variance without Replication   Multiple Comparisons (Scheffe, Tukey, & Newman-Keuls)   ANOVA2
Single missing observation in a Two-Way Analysis of Variance without Replication         ANOVA2s
One-Way (Single-Factor) Repeated-Measures Analysis of Variance      ANOVA1R
One-Way (Single-Factor) Repeated-Measures ANOVA   Multiple Comparisons (Scheffe, Tukey, & Newman-Keuls)   ANOVA2R
Friedman Test Tukey’s Multiple Comparisons, Scheffe-type Mltiple Contrasts   FRIED
Cochran’s Q Test Tukey’s Multiple Comparisons, Scheffe-type Mutiple Contrasts 　COCHQ
N7　Simple Linear/Multiple Correlation & Regression
Simple Linear Regression & Correlation REG2a
Pearson’s Correlation Coefficient, etc.  REG2b
Simple Linear Regression among 12 Groups　REGm
Kendall’s coefficient of rank correlation       KEND
Spearman’s Correlation Coefficient RANKsp
Polynomial Regression POLY
Multiple Regression MREG
Discriminant Analysis DISCRIM
Analysis of Covariance (12 Levels) ANCOVA
Kendall’s Coefficient of Concordance KENDW
Kendall’s Coefficient of Concordance W      KENDW2
N8　Experimental Design & Analysis
Random Number Generator (0-999; one-, two- and three-digit numbers)         RAND1 & RAND2
Estimation of Sample Size   SAMP
One-Way Analysis of Variance   ANOVA1 – N8
Two-Way Analysis of Variance without Replication   Multiple Comparisons (Scheffe, Tukey, & Newman-Keuls)   ANOVA2 – N8
One-Way (Single-Factor) Repeated-Measures Analysis of Variance      ANOVA1R – N8
One-Way (Single-Factor) Repeated-Measures ANOVA   Multiple Comparisons (Scheffe, Tukey, & Newman-Keuls)   ANOVA2R – N8
N9　Suvival Analysis
Data Transformation (Group/Observation Periods/Outcome)　DATAtr1
Data Transformation (SAS Survival Data)　　DATAtr2
Five-Year Survival Rate    SR5y
Data Transformation for Actuarial Method   LifeD
Actuarial or Life Table Method (Two groups, 20 Sections)   LifeSR
Kaplan-Meier Survival Curve (3 Groups)   KAPLAN
Kaplan-Meier Survival Curve (5 Groups)  KAPLANM
Generalized Wilcoxon Test（Gehan）   GW
Log-rank Test   LOGR
Cox-Mantel Test   COXmantel
Mantel-Haenszel Test for Life Tables   MANTEL
Survival Analysis: G-W (Gehan), Logrank, Modified Logrank, Cox-Mantel Tests, Relative Risk with 95% CI   SRTEST
Cancer survival analysis based on the Boag model and its extensions  Maetani Programs
Estimation of Boag Parameters and Mean Survival   BOAG
Regression of Boag Parameters on Prognostic Variables   GAMEL
Estimation of Cox Regression Parameters (12 Variables)    COX
N 10　Epidemiological Analysis
Risk Ratio & Odds Ratio　 ODDS
Stratified Mantel-Haenszel Test　 ODDS
Meta-Analysis (2×2 Table)　　METAAN
Meta-Analysis (Mean and SD, Correlation coefficients) METAAN2
Logistic Regression (Simple) LOGIST
Logistic Regression (Multiple) LOGIST2
Bross Sequential Analysis BROSS
N 11　Diagnostic Procedures
Sensitivity & Specificity S&S
ROC Curve (15 or 30 sections) & Test for Comparison (Modality 15 or 30）   ROC & ROC30  
Histograms & ROC Curves (Two Groups, 6 Levels) HISTROC
Data Transformation for ROC Curve  ROCp

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