## Research Topics- odds ratio
- biometry
- confidence intervals
- statistical models
- statistical data interpretation
- likelihood functions
- probability
- sample size
- logistic models
- bayes theorem
- risk
- binomial distribution
- statistical distributions
- ointments
- matched pair analysis
- observation
- educational models
- animal husbandry
- biomedical research
- skin diseases
- sampling studies
- topical administration
- observer variation
- proportional hazards models
- computational biology
- chi square distribution
- linear models
- research design
- longitudinal studies
- computer simulation
| ## A Agresti## SummaryAffiliation: University of Florida Country: USA ## Publications- Dealing with discreteness: making 'exact' confidence intervals for proportions, differences of proportions, and odds ratios more exactA Agresti
Department of Statistics, University of Florida, Gainesville, Florida 32611 8545, USA*Stat Methods Med Res*12:3-21. 2003 - Modelling ordered categorical data: recent advances and future challengesA Agresti
Department of Statistics, University of Florida, Gainesville, Florida 32611 8545, USA*Stat Med*18:2191-207. 1999 - Frequentist performance of Bayesian confidence intervals for comparing proportions in 2 x 2 contingency tablesAlan Agresti
Department of Statistics, University of Florida, Gainesville, Florida 32611, USA*Biometrics*61:515-23. 2005 - Simple improved confidence intervals for comparing matched proportionsAlan Agresti
Department of Statistics, University of Florida, Gainesville, FL 32611 8545, USA*Stat Med*24:729-40. 2005 - Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs dataAlan Agresti
Department of Statistics, University of Florida, Gainesville, FL 32611 8545, USA*Stat Med*23:65-75. 2004 - On small-sample confidence intervals for parameters in discrete distributionsA Agresti
Department of Statistics, University of Florida, Gainesville 32611 8545, USA*Biometrics*57:963-71. 2001 - Exact inference for categorical data: recent advances and continuing controversiesA Agresti
Department of Statistics, University of Florida, Gainesville, 32611 8545, U S A*Stat Med*20:2709-22. 2001 - On logit confidence intervals for the odds ratio with small samplesA Agresti
Department of Statistics, University of Florida, Gainesville 32611 8545, USA*Biometrics*55:597-602. 1999 - Modeling a categorical variable allowing arbitrarily many category choicesA Agresti
Department of Statistics, University of Florida, Gainesville 32611 8545, USA*Biometrics*55:936-43. 1999 - Strategies for comparing treatments on a binary response with multi-centre dataA Agresti
Department of Statistics, University of Florida, Gainesville 32611 8545, USA*Stat Med*19:1115-39. 2000
## Research Grants- STATISTICAL INFERENCE FOR SPARSE CATEGORICAL DATAAlan Agresti; Fiscal Year: 2000
- STATISTICAL INFERENCE SPARSE ORDERED CATEGORICAL DATAAlan Agresti; Fiscal Year: 1993
- STATISTICAL INFERENCE FOR SPARSE CATEGORICAL DATAAlan Agresti; Fiscal Year: 2003
| ## Collaborators |

## Detail Information

### Publications

- Dealing with discreteness: making 'exact' confidence intervals for proportions, differences of proportions, and odds ratios more exactA Agresti

Department of Statistics, University of Florida, Gainesville, Florida 32611 8545, USA*Stat Methods Med Res*12:3-21. 2003.... - Modelling ordered categorical data: recent advances and future challengesA 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... - Frequentist performance of Bayesian confidence intervals for comparing proportions in 2 x 2 contingency tablesAlan Agresti

Department of Statistics, University of Florida, Gainesville, Florida 32611, USA*Biometrics*61:515-23. 2005.... - Simple improved confidence intervals for comparing matched proportionsAlan 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... - Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs dataAlan 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... - On small-sample confidence intervals for parameters in discrete distributionsA 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... - Exact inference for categorical data: recent advances and continuing controversiesA 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... - On logit confidence intervals for the odds ratio with small samplesA Agresti

Department of Statistics, University of Florida, Gainesville 32611 8545, USA*Biometrics*55:597-602. 1999.... - Modeling a categorical variable allowing arbitrarily many category choicesA 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... - Strategies for comparing treatments on a binary response with multi-centre dataA 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... - Simultaneous confidence intervals for comparing binomial parametersAlan 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)... - Modeling and inference for an ordinal effect size measureEuijung 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... - Multivariate extensions of McNemar's testBernhard 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 Grants

- STATISTICAL INFERENCE FOR SPARSE CATEGORICAL DATAAlan Agresti; Fiscal Year: 2000....
- STATISTICAL INFERENCE SPARSE ORDERED CATEGORICAL DATAAlan 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...
- STATISTICAL INFERENCE FOR SPARSE CATEGORICAL DATAAlan 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. ..