Index
A
Analysis of variance
Arithmetic
Artificial intelligence using distribution
free data
Assessing seasonality
Assessing seasonality with
Autocorrelations
Autocorrelations
Automatic linear regression
Automatic nonparametric testing
B
Binary data
Binary logistic regression
Binary outcome data
Binary variables
Binomial test
Bootstraps paired data
Bootstraps unpaired data
C
Calculate Cohen’s Kappa
Chi-square test
Chi-square test for trends
Clinical data analysis
Clinical investigators
Clustered data
Cochran’s Q-test
Cohen’s Kappa
Comparing the performance of diagnostic
tests
Comparing validities of different diagnostic
tests
Confounding
Contingency table of the data
Continuous data
Continuous outcome data
Cox regression without time dependent
variables
Cox regression with time dependent
variables
Cox regression with time dependent variables
explained
Cox regression with/without time dependent
variables
Crosstabs
C-statistics
Curvilinear estimation
D
Data dredging
Data histogram graph
Diagnostic test validation
Doubly repeated measures analysis of
variance
E
European College of Pharmaceutical
Medicine
Explanatory graphs
F
First and second order hierarchical
loglinear modeling
Fixed effect generalized linear mixed
model
Fourth order hierarchical loglinear
modeling
Friedman test
G
Gamma regression
Generalized Estimation Equation
analysis
Generalized Linear Models
General loglinear modeling
General loglinear models for identifying
subgroups
Graphical analysis
Graphs
H
Health professionals
Histogram graph
Histograms
I
Imperfect and distribution free data
Inadequate linear regression
Interaction, random effect analysis of
variance
Internet
Interval censored analysis in generalized
linear models
Interval censored data analysis for
assessing mean time to cancer relapse
Intraclass correlation
K
Kappa
Kruskal-Wallis test
L
Linear regression
Linear regression with categorical
predictors
Loess and spline modeling
Loess modeling
Logistic equation for making
predictions
Logistic regression
Logistic regression with a binary
predictor
Logistic regression with a continuous
predictor
Logistic regression with categorical
predictors
Logistic regression with multiple
predictors
Logit loglinear modeling
Loglinear models, hierarchical loglinear
models
Log rank testing
M
Mann-Whitney
McNemar’s tests
Meta-regression
Missing data
Missing data imputation
Mixed model analysis
Mixed model analysis with random
interaction
Monte Carlo, paired data
Monte Carlo tests for binary data
Monte Carlo tests for continuous data
Monte Carlo, unpaired data
More complex regression models
Multinomial logistic regression
Multinomial regression
Multinomial regression for outcome
categories
Multiple Cox regression
Multiple groups chi-square test
Multiple imputations
Multiple linear regression
Multiple logistic regression
Multiple probit regression
Multiple segmented time dependent Cox
regression
Multistage analyses
Multistage regression
Multivariate analyses
Multivariate analysis of variance
Multivariate analysis with path
statistics
N
Neural networks analysis
Nonnegative outcomes assessed with gamma
distribution
Nonnegative outcomes assessed with Tweedie
distribution
Non-parametric tests
O
Odds ratio tests
One-sample binary data
One-sample continuous data
One-sample t-test
One-sample Wilcoxon signed rank test
One-sample Z-test
One way analysis of variance,
Kruskal-Wallis
One way ANOVA
Ordinal regression
Ordinal regression for data with
underpresented outcome categories
Outcome and predictor variables
P
Paired binary (McNemar test)
Paired binary data with predictors
Paired continuous data
Paired continuous data with predictors
Paired T-test
Performance assessment of binary logistic
regression
Performance assessment of C-statistics
Pocket calculator
Poisson regression
Poisson regression for binary outcomes
Poisson regression for outcome rates
Polynomial analysis of circadian
rhythms
Probit regression, binary data as response
rates
R
Random effect generalized linear mixed
model
Random intercept for categorical outcome and
predictors
Recoding the data file
Regression
Regression data
Regression imputation
Reliability assessment of qualitative
diagnostic tests
Reliability assessment of quantitative
diagnostic tests
Repeated measures analysis of variance
Repeated measures analysis of variance plus
predictors
Repeated measures binary data (Cochran’s Q
test)
Repeated measures mixed models
Restructure Data Wizard
Robust testing
S
SAS
Segmented Cox regression
Segmented time dependent Cox
regression
Simple Cox regression
Simple probit regression
Simple time dependent Cox regression
Spline modeling
Springer
SPSS
SPSS for starters
SPSS for starters 1 and 2
Statistical analysis of clinical data on a
pocket calculator 1 and 2
Statistics applied to clinical trials
Step-by-step analyses
Survival
Survival and longitudinal data
T
Third order hierarchical loglinear
modeling
Three-D Bar Charts
Time dependent variables
Traditional regressions for mulivariate
analysis
Trend testing
Trend tests for binary data
Trend tests for continuous data
t-tests
Tweedie regression
Two stage least squares method
Two × two contingency table
Types of variables
U
Unpaired binary data
Unpaired continuous data
Unpaired continuous data with three or more
groups
Unpaired T-test
V
Validating qualitative diagnostic
tests
Validating quantitative diagnostic
tests
W
Weighted least squares analysis
Wilcoxon signed rank test