Update stat_method_tbl.csv

data/stat_method_tbl.csv

@@ -37,10 +37,11 @@ Multiple Imputation - Continuous Data MNAR,Reference-Based Imputation/Sequential
 Multiple Imputation - Continuous Data MNAR,Reference-Based Imputation/Joint Modelling,,,,
 Correlation,Pearson's/ Spearman's/ Kendall's Rank,[R](R/correlation),[SAS](SAS/correlation),[Python](python/correlation),[R vs SAS](Comp/r-sas_correlation)
 Survival Models,Kaplan-Meier Log-rank test and Cox-PH,[R](R/survival),[SAS](SAS/survival),,[R vs SAS](Comp/r-sas_survival)
+Survival Models,Cause Specific Hazards,[R](R/survival_csh),[SAS](SAS/survival_csh),,[R vs SAS](Comp/r-sas_survival_csh)
 Survival Models,Accelerated Failure Time,[R](R/Accelerated_Failure_time_model),,,
 Survival Models,Non-proportional hazards methods,[R](R/Weighted-log-rank),,,
 Survival Models,Cumulative Incidence Functions,[R](R/survival_cif),[SAS](SAS/survival_cif),,[R vs SAS](Comp/r-sas_survival_cif)
-Survival Models,Tobit regression,,,,
+Survival Models,Tobit regression,[R](R/tobit regression),[SAS](SAS/tobit regression SAS),,
 Survival Models,Restricted Mean Survival Time (RMST),,,,
 Sample size /Power calculations,Superiority Single timepoint,,,,
 Sample size /Power calculations,Equivalence Single timepoint,,,,
@@ -55,5 +56,4 @@ Causal inference, Propensity score matching,,,,
 Causal inference, Propensity score Weighting,,,,
 Other Methods,Survey statistics,[R](R/survey-stats-summary),[SAS](SAS/survey-stats-summary),[Python](python/survey-stats-summary),[R vs SAS vs Python](Comp/r-sas-python_survey-stats-summary)
 Other Methods,Nearest neighbour,,,,
-Other Methods,Machine learning,[R](R/xgboost),,,
-
+Other Methods,Machine learning,[R](R/xgboost),,,