18  List of Figures

Figure Short Caption
Figure 5.1 Missing data patterns in support
Figure 7.1 Consort diagram produced with consort_plot
Figure 7.2 Consort diagram using component functions
Figure 7.3 Consort diagram produced by mermaid
Figure 7.4 Consort diagram produced with mermaid with individual exclusions linked to the overall exclusions node, and with a tooltip to show more detail
Figure 7.5 Flowchart of sequential exclusion of observations due to missing values
Figure 7.6 Plot of the degree of symmetry of the distribution of a variable (value of 1.0 is most symmetric) vs. the number of distinct values of the variable. Hover over a point to see the variable name and detailed characteristics.
Figure 8.1 Regular plot(describe) output
Figure 8.2 plotly plot(describe) output
Figure 8.3 summaryM plots
Figure 8.4 Spike histograms of heart rate stratified by ECG category
Figure 8.5 Representative curves determined by curveRep stratified by per-subject sample size ranges
?fig-multevent Multi-event chart for 4 patients
Figure 8.8 State transition proportions
Figure 8.9 State occupancy proportions by time and male/female
Figure 8.10 Proportion of adverse events by Treatment
Figure 8.11 Event chart
Figure 8.12 Spearman rank correlation matrix. Positive correlations are blue and negative are red.
Figure 17.1 Simulation of maximum absolute correlation coefficient
Figure 14.1 Nonparametric smooth estimated relationships between several continuous variables and probability of hospital death
Figure 14.2 Prototype extended box plot
Figure 14.3 bpplotM extended box plot
Figure 14.4 summaryM plotly graphic with interactive extended box plots
Figure 14.5 ggfreqAcatter plot showing all raw data for two continuous variables with only slight binning
Figure 14.6 movStats moving estimates of mean and quantiles
Figure 14.7 Moving mean and quantile estimates of effect of age with interquartile bands
Figure 14.8 Moving estimates of WBC vs. hospital mortality
Figure 14.9 Moving nonparametric and flexible parametric estimates of mortality
Figure 14.10 1-year mortality estimates stratified by disease group
Figure 14.11 Stratified moving Kaplan-Meier and HARE estimates varying age
Figure 14.12 Moving estimates of effect of age on glycohemoglobin stratified by race/ethnicity
Figure 14.13 Parametric spline estimates of age vs. glycohemoglobin
Figure 14.14 Smooth age effects on three quartiles of HbA\(_{1c}\)
Figure 14.15 Moving Kaplan-Meier and HARE esetimates for several continuous covariates
Figure 14.16 Kaplan-Meier estimates of 1y and 2y incidence stratified separately by a series of discrete predictorsw
Figure 14.17 Kaplan-Meier estimates of 1y and 2y incidence with each predictor in its own tab
Figure 14.18 Interactive survival curves with half-width confidence bands
Figure 14.19 Graphical representations of a fitted binary logistic model