A Agresti

Summary

Affiliation: University of Florida
Country: USA

Publications

  1. ncbi Dealing with discreteness: making 'exact' confidence intervals for proportions, differences of proportions, and odds ratios more exact
    A Agresti
    Department of Statistics, University of Florida, Gainesville, Florida 32611 8545, USA
    Stat Methods Med Res 12:3-21. 2003
  2. ncbi Modelling ordered categorical data: recent advances and future challenges
    A Agresti
    Department of Statistics, University of Florida, Gainesville, Florida 32611 8545, USA
    Stat Med 18:2191-207. 1999
  3. ncbi Frequentist performance of Bayesian confidence intervals for comparing proportions in 2 x 2 contingency tables
    Alan Agresti
    Department of Statistics, University of Florida, Gainesville, Florida 32611, USA
    Biometrics 61:515-23. 2005
  4. ncbi Simple improved confidence intervals for comparing matched proportions
    Alan Agresti
    Department of Statistics, University of Florida, Gainesville, FL 32611 8545, USA
    Stat Med 24:729-40. 2005
  5. ncbi Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data
    Alan Agresti
    Department of Statistics, University of Florida, Gainesville, FL 32611 8545, USA
    Stat Med 23:65-75. 2004
  6. ncbi On small-sample confidence intervals for parameters in discrete distributions
    A Agresti
    Department of Statistics, University of Florida, Gainesville 32611 8545, USA
    Biometrics 57:963-71. 2001
  7. ncbi Exact inference for categorical data: recent advances and continuing controversies
    A Agresti
    Department of Statistics, University of Florida, Gainesville, 32611 8545, U S A
    Stat Med 20:2709-22. 2001
  8. ncbi On logit confidence intervals for the odds ratio with small samples
    A Agresti
    Department of Statistics, University of Florida, Gainesville 32611 8545, USA
    Biometrics 55:597-602. 1999
  9. ncbi Modeling a categorical variable allowing arbitrarily many category choices
    A Agresti
    Department of Statistics, University of Florida, Gainesville 32611 8545, USA
    Biometrics 55:936-43. 1999
  10. ncbi Strategies for comparing treatments on a binary response with multi-centre data
    A Agresti
    Department of Statistics, University of Florida, Gainesville 32611 8545, USA
    Stat Med 19:1115-39. 2000

Research Grants

  1. STATISTICAL INFERENCE FOR SPARSE CATEGORICAL DATA
    Alan Agresti; Fiscal Year: 2000
  2. STATISTICAL INFERENCE SPARSE ORDERED CATEGORICAL DATA
    Alan Agresti; Fiscal Year: 1993
  3. STATISTICAL INFERENCE FOR SPARSE CATEGORICAL DATA
    Alan Agresti; Fiscal Year: 2003

Detail Information

Publications13

  1. ncbi Dealing with discreteness: making 'exact' confidence intervals for proportions, differences of proportions, and odds ratios more exact
    A Agresti
    Department of Statistics, University of Florida, Gainesville, Florida 32611 8545, USA
    Stat Methods Med Res 12:3-21. 2003
    ....
  2. ncbi Modelling ordered categorical data: recent advances and future challenges
    A Agresti
    Department of Statistics, University of Florida, Gainesville, Florida 32611 8545, USA
    Stat Med 18:2191-207. 1999
    ..Throughout, we suggest problem areas for future research and we highlight challenges for statisticians who deal with ordinal data...
  3. ncbi Frequentist performance of Bayesian confidence intervals for comparing proportions in 2 x 2 contingency tables
    Alan Agresti
    Department of Statistics, University of Florida, Gainesville, Florida 32611, USA
    Biometrics 61:515-23. 2005
    ....
  4. ncbi Simple improved confidence intervals for comparing matched proportions
    Alan Agresti
    Department of Statistics, University of Florida, Gainesville, FL 32611 8545, USA
    Stat Med 24:729-40. 2005
    ..The improvement of the interval for the difference of probabilities is to add two observations to each sample before applying it. The improvement for estimating an odds ratio transforms a confidence interval for a single proportion...
  5. ncbi Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data
    Alan Agresti
    Department of Statistics, University of Florida, Gainesville, FL 32611 8545, USA
    Stat Med 23:65-75. 2004
    ..We also discuss extension of this result to matched sets...
  6. ncbi On small-sample confidence intervals for parameters in discrete distributions
    A Agresti
    Department of Statistics, University of Florida, Gainesville 32611 8545, USA
    Biometrics 57:963-71. 2001
    ..We illustrate for a variety of discrete problems, including interval estimation of a binomial parameter, the difference and the ratio of two binomial parameters for independent samples, and the odds ratio...
  7. ncbi Exact inference for categorical data: recent advances and continuing controversies
    A Agresti
    Department of Statistics, University of Florida, Gainesville, 32611 8545, U S A
    Stat Med 20:2709-22. 2001
    ..In general, adjusted exact methods based on the mid-P-value seem a reasonable way of reducing the severity of this problem...
  8. ncbi On logit confidence intervals for the odds ratio with small samples
    A Agresti
    Department of Statistics, University of Florida, Gainesville 32611 8545, USA
    Biometrics 55:597-602. 1999
    ....
  9. ncbi Modeling a categorical variable allowing arbitrarily many category choices
    A Agresti
    Department of Statistics, University of Florida, Gainesville 32611 8545, USA
    Biometrics 55:936-43. 1999
    ..These tests are alternatives to the weighted chi-squared test and the bootstrap test proposed by Loughin and Scherer for this hypothesis...
  10. ncbi Strategies for comparing treatments on a binary response with multi-centre data
    A Agresti
    Department of Statistics, University of Florida, Gainesville 32611 8545, USA
    Stat Med 19:1115-39. 2000
    ..This article discusses these matters in the context of various strategies for analysing such data, in particular focusing on special problems presented by sparse data...
  11. ncbi Simultaneous confidence intervals for comparing binomial parameters
    Alan Agresti
    Department of Statistics, University of Florida, Gainesville, Florida 32611, USA
    Biometrics 64:1270-5. 2008
    ..For the difference of proportions, the proposed method has performance comparable to a method proposed by Piegorsch (1991, Biometrics 47, 45-52)...
  12. ncbi Modeling and inference for an ordinal effect size measure
    Euijung Ryu
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, U S A
    Stat Med 27:1703-17. 2008
    ..The methods are illustrated for a study comparing treatments for shoulder-tip pain...
  13. ncbi Multivariate extensions of McNemar's test
    Bernhard Klingenberg
    Department of Mathematics and Statistics, Williams College, Williamstown, Massachusetts 01267, USA
    Biometrics 62:921-8. 2006
    ..We apply the test to safety data for a drug, in which two doses are evaluated by comparing multiple responses by the same subjects to each one of them...

Research Grants14

  1. STATISTICAL INFERENCE FOR SPARSE CATEGORICAL DATA
    Alan Agresti; Fiscal Year: 2000
    ....
  2. STATISTICAL INFERENCE SPARSE ORDERED CATEGORICAL DATA
    Alan Agresti; Fiscal Year: 1993
    ..For both types of analyses, semi-parametric methods will be developed to handle cases in which traditional maximum likelihood approaches are awkward or infeasible...
  3. STATISTICAL INFERENCE FOR SPARSE CATEGORICAL DATA
    Alan Agresti; Fiscal Year: 2003
    ..The two types of improved intervals will be compared (In some cases, approximate may be better because of the inherent conservativeness of exact methods for discrete data), and extensions will be developed for stratified data. ..