When an outcome analysis leads to a significant result, Rosenbaum's sensitivity analysis finds a tipping point, D , that negates the conclusion of the study. A large value of is evidence that only a large departure from random treatment assignment can negate the conclusion of the study....
Example 62.13: Sensitivity Analysis with Tipping-Point ApproachMIXED ProcedureClustered Data Example Example 63.1: Split-Plot Design Example 63.2: Repeated Measures Example 63.3: Plotting the Likelihood Example 63.4: Known G and R Example 63.5: Random Coefficients Example 63.6: Line-Source Sprinkler Irrig...
Examples from Documentation ACECLUS Procedure ADAPTIVEREG Procedure ANOVA Procedure BCHOICE Procedure BGLIMM ProcedureNew Procedure! BOXPLOT Procedure CALIS Procedure CANCORR Procedure CANDISC Procedure The CATMOD Procedure The CAUSALGRAPH ProcedureNew Procedure!
When an outcome analysis leads to a significant result, Rosenbaum's sensitivity analysis finds a tipping point, D , that negates the conclusion of the study. A large value of is evidence that only a large departure from random treatment assignment can negate the conclusion of the study....
Example 47.1: Comparison of the Marginal and Random Effect Models for Binary Data Example 47.2: Log-Linear Model for Count Data Example 47.3: Weighted GEE for Longitudinal Data That Have Missing Values Example 47.4: GEE for Binary Data with Logit Link Function Example 47.5: Alternating Logistic ...