Kenneth J. Rothman
Statistics and Probability · 2002–2016
A researcher in the Science corpus: 8 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 22 citations into it; #5,524 of 12,932 by trust here, #1,523 by citations
Whom Kenneth J. Rothman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Kenneth J. Rothman overall
- A. Liberman
- Peter C. Austin
- Geoff Cumming
- U. Moksnes
- D. Newman-Toker
- Sander Greenland
- S. Gidding
- B. K. Utvær
- M. Knol
- Angus Deaton
Papers from Kenneth J. Rothman's perspective
Ordered by how strongly the researchers Kenneth J. Rothman trusts endorse each paper. Same corpus, a different order for every researcher.
- Marginal Structural Models and Causal Inference in Epidemiology
- Matching using estimated propensity scores: relating theory to practice.
- Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports (Pharmacoepidemiology and Drug Safety)
- Severe Testing as a Basic Concept in a Neyman–Pearson Philosophy of Induction (British Journal for the Philosophy of Science)
- Bayesian Statistical Inference for Psychological Research
- Adjustment Methods: Propensity Score Methods for Bias Reduction in the Comparison of a Treatment to a Non‐Randomized Control Group
- Understanding the New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis
- Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization (Health Services & Outcomes Research Methodology)
- Editorial
- Calibration of ρ Values for Testing Precise Null Hypotheses
Their papers
- Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations (2016) — 2,814 citations
- Variable selection for propensity score models. (2006) — 2,278 citations
- A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods. (2006) — 722 citations
- Causation and causal inference in epidemiology. (2005) — 1,154 citations
- Why representativeness should be avoided. (2013) — 781 citations
- BMI-related errors in the measurement of obesity (2008) — 1,115 citations
- The reporting odds ratio and its advantages over the proportional reporting ratio (2004) — 1,006 citations
- Epidemiology: An Introduction (2002) — 2,410 citations