Package: jstable 1.3.26

Display results of comepting risk analysis using jstable(Fine-Gray Method) | TableSubgroupMultiCox | When using the TableSubgroupMultiCox function, preprocessing the data with the finegray function from the survival package is required. The finegray function generates a new dataset containing fgstart, fgstop, fgstatus, and fgwt. The TableSubgroupMultiCox function then displays results based on the corresponding formula and weights. | cox2.display | As written above, preprocessing the data with finegray function is also required. By using corresponding formula and weights, cox2.display function will display table results.

Introducing count_by, event options in TableSubgroupMultiCox | TableSubgroupMultiCox | Counting the Number of Independent Variables for Comparison | The default option for count_by is set to NULL. By specifying an independent variable in the count_by option, the table will display the counts for each level of the independent variable. | Calculate crude incidence rate of event | The default value for the event option is set to FALSE. By setting event to TRUE, the table will display the crude incidence rate of events. This rate is calculated using the number of events as the numerator and the count of the independent variable as the denominator.(Different from Kaplan-Meier Estimates) | Using both count_by and event option is also available | By using both count_by and event option, the table will display crude incidence rate and the counts for each level of the independant variable. | Introducing pairwise option | Introducing pairwise, pairwise.showtest option in CreateTableOneJS | The default value for the pairwise option is FALSE. By setting pairwise to TRUE, the table will display p-values for pairwise comparisons of stratified groups. | By setting pairwise.showtest option to TRUE, the table will display test used to calculate p-values for pairwise comparisons of stratified groups. Default test for categorical variables are chi-sq test and continuous variables are t-test. | Introducing pairwise option in svyCreateTableOneJS | By setting pairwise.showtest option to TRUE, the table will display test used to calculate p-values for pairwise comparisons of stratified groups.

Install | GLM Table | GEE Table: from geeglm object from geepack package | Mixed model Table: lmerMod or glmerMod object from lme4 package | Cox model with frailty or cluster options | Cox mixed effect model Table: coxme object from coxme package | GLM for survey data : svyglm object from survey package | Cox model for survey data :svycoxph object from survey package | Sub-group analysis for Cox/svycox model