Joseph R. Rausch

Statistics and Probability · 2008

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Joseph R. Rausch trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kevin Kim
  2. K. Liang
  3. J. Singer
  4. Yoav Benjamini

Who trusts Joseph R. Rausch overall

  1. Daniël Lakens

Papers from Joseph R. Rausch's perspective

Ordered by how strongly the researchers Joseph R. Rausch trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Applied Longitudinal Data Analysis
  2. Bootstrap approach to inference and power analysis based on three test statistics for covariance structure models.
  3. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  4. Longitudinal data analysis using generalized linear models
  5. The power of statistical tests in meta-analysis. (Psychological methods)
  6. The Relation Among Fit Indexes, Power, and Sample Size in Structural Equation Modeling
  7. Relationship Between Bayesian and Frequentist Sample Size Determination
  8. Empirical evidence for selective reporting of outcomes in randomized trials: comparison of protocols to published articles. (Journal of the American Medical Association (JAMA))
  9. The power of statistical tests for moderators in meta-analysis. (Psychological methods)
  10. Causal inference and generalization in field settings: Experimental and quasi-experimental designs.

Their papers