rosenbaum@wharton.upenn.edu
Packages by Paul Rosenbaum
DOS2 — 0.5.2
6 years ago by Paul Rosenbaum
Design of Observational Studies, Companion to the Second Edition
dstat — 1.0.4
6 years ago by Paul R. Rosenbaum
Conditional Sensitivity Analysis for Matched Observational Studies
dstat2x2xk — 0.2.0
3 years ago by Paul R. Rosenbaum
Demonstrated Insensitivity to Bias in 2x2xK Contingency Tables
exteriorMatch — 1.0.0
9 years ago by Paul R. Rosenbaum
Constructs the Exterior Match from Two Matched Control Groups
fugue — 0.1.7
6 years ago by Paul R. Rosenbaum
Sensitivity Analysis Optimized for Matched Sets of Varied Sizes
iTOS — 1.0.3
8 months ago by Paul R. Rosenbaum
Methods and Examples from Introduction to the Theory of Observational Studies
informedSen — 1.0.7
4 years ago by Paul R Rosenbaum
Sensitivity Analysis Informed by a Test for Bias
sensitivity2x2xk — 1.01
9 years ago by Paul R. Rosenbaum
Sensitivity Analysis for 2x2xk Tables in Observational Studies
sensitivityfull — 1.5.6
8 years ago by Paul R. Rosenbaum
Sensitivity Analysis for Full Matching in Observational Studies
sensitivitymult — 1.0.2
8 years ago by Paul R. Rosenbaum
Sensitivity Analysis for Observational Studies with Multiple Outcomes
sensitivitymv — 1.4.4
10 days ago by Paul R. Rosenbaum
Sensitivity Analysis in Observational Studies
sensitivitymw — 2.1
3 years ago by Paul R. Rosenbaum
Sensitivity Analysis for Observational Studies Using Weighted M-Statistics
senstrat — 1.0.3
8 years ago by Paul R. Rosenbaum
Sensitivity Analysis for Stratified Observational Studies
submax — 1.1.5
10 days ago by Paul R. Rosenbaum
Effect Modification in Observational Studies Using the Submax Method
tailTransform — 2.0.0
2 months ago by Paul R. Rosenbaum
Symmetric Transformation of Tails for Plotting Differences
testtwice — 1.0.3
5 years ago by Paul R. Rosenbaum
Testing One Hypothesis Twice in Observational Studies
tightenBlock — 0.1.7
a year ago by Paul Rosenbaum
Tightens an Observational Block Design by Balanced Subset Matching
weightedRank — 0.3.7
10 months ago by Paul Rosenbaum
Sensitivity Analysis Using Weighted Rank Statistics