Ajit Tamhane

Q: What Schools Are Affiliated With Ajit Tamhane

Ajit Tamhane is affiliated with the following schools: University of California, Berkeley, Northwestern University , Northwestern University, University of California, Davis, Michigan State University, Cornell University

Ajit Tamhane's AcademicInfluence.com Rankings

Ajit Tamhane

Mathematics

#7067

World Rank

#9679

Historical Rank

Statistics

#828

World Rank

#918

Historical Rank

mathematics Degrees

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Mathematics

Ajit Tamhane's Degrees

PhD Statistics University of California, Berkeley
Masters Statistics University of California, Berkeley

Why Is Ajit Tamhane Influential?

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According to Wikipedia, Ajit C. Tamhane is a professor in the Department of Industrial Engineering and Management Sciences at Northwestern University and also holds a courtesy appointment in the Department of Statistics. Tamhane has published over 100 research articles in refereed journals and has authored four books and co-edited two volumes of collected research papers. His research primarily focuses on multiple testing in clinical trials. He has also worked extensively in other areas of statistics including design of experiments, ranking and selection procedures, chemometrics, clustering methods and statistical inference.

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Ajit Tamhane's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Multiple Comparison Procedures (1989) (1929)
Design and Analysis of Experiments for Statistical Selection, Screening, and Multiple Comparisons (1995) (413)
A Step-Up Multiple Test Procedure (1992) (266)
A Comparison of Procedures for Multiple Comparisons of Means with Unequal Variances (1979) (213)
Multiple comparisons in model i one-way anova with unequal variances (1977) (171)
Multiple test procedures for dose finding. (1996) (168)
Statistics and Data Analysis: From Elementary to Intermediate (1999) (165)
Detection of gross errors in process data (1982) (155)
Step-down multiple tests for comparing treatments with a control in unbalanced one-way layouts. (1991) (155)
General Multistage Gatekeeping Procedures (2008) (117)
Data Reconciliation and Gross Error Detection in Chemical Process Networks (1985) (117)
Tree‐structured gatekeeping tests in clinical trials with hierarchically ordered multiple objectives (2007) (108)
The Effects of Media Context Experiences On Advertising Effectiveness (2007) (103)
Gatekeeping procedures with clinical trial applications (2007) (101)
Incomplete Block Designs for Comparing Treatments Wth a Control: General Theory (1981) (96)
Design of Experiments: Ranking and Selection (1984) (94)
Nonlinear partial least squares (1997) (91)
Step-up multiple testing of parameters with unequally correlated estimates. (1995) (68)
Performance studies of the measurement test for detection of gross errors in process data (1985) (66)
Testing a Primary and a Secondary Endpoint in a Group Sequential Design (2010) (64)
Statistical Analysis of Designed Experiments: Theory and Applications (2009) (60)
Stepwise Gatekeeping Procedures in Clinical Trial Applications (2006) (56)
Mixtures of multiple testing procedures for gatekeeping applications in clinical trials (2011) (53)
A Two-Stage Minimax Procedure with Screening for Selecting the Largest Normal Mean. (1977) (53)
A generalized step‐up‐down multiple test procedure (1998) (52)
Randomized Response Techniques for Multiple Sensitive Attributes (1981) (51)
Process trending with piecewise linear smoothing (1995) (50)
Multiple testing methodology (2009) (46)
A Composite Statistical Test for Detecting Changes of Steady States (1986) (41)
Comparisons between a new drug and active and placebo controls in an efficacy clinical trial. (1992) (39)
A two-stage minimax procedure with screening for selecting the largest normal mean (ii): an improved (1977) (38)
Small sample confidence intervals for the difference,ratio and odds ratio of two success probabilities (1993) (38)
Multiple Test Procedures for Identifying the Minimum Effective and Maximum Safe Doses of a Drug (2002) (37)
Gatekeeping Procedures in Clinical Trials (2009) (34)
Multiple Test Procedures for Identifying the Maximum Safe Dose (2001) (34)
A note on tree gatekeeping procedures in clinical trials (2008) (33)
A comparative study of the K-means algorithm and the normal mixture model for clustering : Univariate case (2007) (31)
A Mixture Gatekeeping Procedure Based on the Hommel Test for Clinical Trial Applications (2011) (31)
Adaptive extensions of a two‐stage group sequential procedure for testing primary and secondary endpoints (I): unknown correlation between the endpoints (2012) (31)
Small-sample comparisons of confidence intervals for the difference of two independent binomial proportions (2007) (30)
Advances in p-Value Based Multiple Test Procedures (2018) (30)
Gross Error Detection in Serially Correlated Process Data (1990) (29)
A superiority‐equivalence approach to one‐sided tests on multiple endpoints in clinical trials (2004) (28)
A class of improved hybrid Hochberg-Hommel type step-up multiple test procedures (2014) (27)
A note on the use of residuals for detecting an outlier in linear regression (1982) (27)
Gross Error Detection in Serially Correlated Process Data. 2. Dynamic Systems (1992) (26)
General theory of mixture procedures for gatekeeping (2013) (26)
Finding the Maximum Safe Dose Level for Heteroscedastic Data (2004) (26)
Sample size determination for step-down multiple test procedures: Orthogonal contrasts and comparisons with a control (1991) (26)
The beta distribution as a latent response model for ordinal data (I): Estimation of location and dispersion parameters (2002) (25)
Stepwise multiple test procedures with biometric applications (1999) (24)
Multiple testing to establish superiority/equivalence of a new treatment compared with kappa standard treatments. (1997) (23)
Power comparisons of some step-up multiple test procedures (1993) (23)
Allocating recycled significance levels in group sequential procedures for multiple endpoints (2015) (23)
Dry Pea (Pisum sativum L.) Response to Low Rates of Selected Foliar- and Soil-Applied Sulfonylurea and Growth Regulator Herbicides (1999) (22)
Incomplete Block Designs for Comparing Treatments with a Control: General Theory (2008) (22)
A Bayesian approach to gross error detection in chemical process data: Part I : Model development (1988) (20)
Multistage and Mixture Parallel Gatekeeping Procedures in Clinical Trials (2011) (20)
On O’Brien’s OLS and GLS tests for multiple endpoints (2004) (19)
Design of Experiments for Comparing Treatments With a Control: Tables of Optimal Allocations of Observations (1983) (19)
Adaptive extensions of a two‐stage group sequential procedure for testing primary and secondary endpoints (II): sample size re‐estimation (2012) (18)
Accurate Critical Constants for the One‐Sided Approximate Likelihood Ratio Test of a Normal Mean Vector When the Covariance Matrix Is Estimated (2002) (17)
Incomplete Block Designs for Comparing Treatments with a Control (V): Optimal Designs for p = 6, k = 3. (1980) (17)
Hochberg procedure under negative dependence (2017) (17)
A gatekeeping procedure to test a primary and a secondary endpoint in a group sequential design with multiple interim looks (2018) (17)
Some new multiple-test procedures for dose finding. (1998) (16)
Discussion of 'False Discovery Rate Adjusted Multiple Confidence Intervals for Selected Parameters' by Y. Benjamini and D. Yekutieli (2005) (15)
On weighted Hochberg procedures (2008) (14)
Inference based on regression estimator in double sampling (1978) (14)
Exact repeated confidence intervals for Bernoulli parameters in a group sequential clinical trial. (1993) (14)
On generalized Simes critical constants (2014) (13)
Design and Analysis of Experiments for Statistical Selection, Screening and Multiple Comparisons, by R. E. Bechhofer, T. J. Santner and D. M. Goldsman: Technometrics (1996) (13)
Nonparametric Multiple Comparisons in Repeated Measures Designs for Data with Ties (2002) (13)
Single‐Step Procedures for Pairwise and More General Comparisons among All Treatments (2008) (13)
Superiority Inferences on Individual Endpoints Following Noninferiority Testing in Clinical Trials (2008) (13)
Balanced Treatment incomplete block (BTIB) designs for comparing treatments with a control: minimal complete sets of generator designs for k = 3, p = 3(1)10 (1983) (13)
18 Multiple comparisons (1996) (13)
A Bayesian approach to gross error detection in chemical process data: Part II: Simulation results☆ (1988) (12)
Designing experiments for selecting the largest normal mean when the variances are known and unequal: Optimal sample size allocation (1991) (11)
Row-column designs for comparing treatments with a control (1996) (10)
A general multistage procedure for k‐out‐of‐n gatekeeping (2014) (10)
Optimal Designs for Comparing Test Treatments with Controls]: Comment (1988) (10)
Design of experiments : ranking and selection : essays in honor of Robert E. Bechhofer (1984) (9)
Distribution‐Free and Robust Procedures (2008) (9)
Corrections and amendments (1977) (9)
Incomplete Block Designs for Comparing Treatments with a Control. (II): Optimal Designs for One-Sided Comparisons When p=2(1)6, k=2 and p=3, k=3, (1983) (8)
A multiple comparison procedure for three- and four-armed controlled clinical trials. (2001) (8)
Selecting the better Bernoulli treatment using a matched samples design (1980) (7)
Combining Global and Marginal Tests to Compare Two Treatments on Multiple Endpoints (2001) (7)
A three-stage elimination type procedure for selecting the largest normal mean (common unknown variance) (1976) (7)
Multiple Comparisons in a Mixed Model (1983) (7)
Multiple Comparison Procedures in Dose Response Studies (2006) (7)
An iterated integral representation for a multivariate normal integral having block covariance structure (1974) (6)
An optimal procedure for partitioning a set of normal populations with respect to a control (1987) (6)
On Minimax Multistage Elimination Type Rules for Selecting the Largest Normal Mean (1975) (5)
A Flexible Choice of Critical Constants for the Improved Hybrid Hochberg-Hommel Procedure (2017) (5)
A General Prewhitening Procedure for Process and Measurement Noises (1992) (5)
Some Sequential Procedures for Selecting the Better Bernoulli Treatment by Using a Matched Samples Design (1985) (5)
Incomplete block designs for comparing treatments with a control (II): Optimal designs for p = 2(1)6; k = 2 and p = 3; k = 3 (1979) (5)
Mixtures of Multiple Testing Procedures with Gatekeeping Applications (2008) (4)
A model-based approach to estimate the AIDS-free time distribution in homosexual men using longitudinal data. (1994) (4)
Erratum: Tree structured gatekeeping tests in clinical trials with hierarchically ordered multiple objectives (Statistics in Medicine (2007) vol. 26 (2465-2478)) (2008) (4)
Parametric Mixture Models for Estimating the Proportion of True Null Hypotheses and Adaptive Control of FDR (2009) (4)
A parametric mixture model for clustering multivariate binary data (2010) (4)
Experiments for Response Optimization (2012) (4)
Power and sample size determination for a stepwise test procedure for finding the maximum safe dose (2006) (4)
Tables of admissible and optimal BTIB designs for comparing treatments with a control (1985) (3)
Designing experiments for selecting a normal population with a large mean and a small variance: Ranking and Selection (1984) (3)
Multiple Endpoints : An Overview and New Developments (2001) (3)
Multiple testing in dose-response problems (2009) (3)
A survey of literature on quantal response curves with a view toward application to the problem of selecting the curve with the smallest q-quantile (ED100q) (1986) (3)
Some Drawbacks of the Simes Test in the Group Sequential Setting (2020) (3)
Designing Experiments for Multiple Comparisons (2008) (2)
Single Factor Experiments: Completely Randomized Designs (2012) (2)
Incomplete Block Designs for Comparing Treatments with a Control (VI): Conjectured Minimal Complete Class of Generator Designs for p = 5, k = 4 and p = 6, k = 4. (1980) (2)
Some General Theory of Multiple Comparison Procedures (2008) (2)
Analysis of multiple endpoints in clinical trials (2009) (2)
Some Theory of Multiple Comparison Procedures for Fixed‐Effects Linear Models (2008) (2)
On a class of multistage selection procedures with screening for the normal means problem (1980) (2)
A minimax two-stage permanent elimination type procedure for selecting the smallest normal variance (1975) (2)
A Bayesian approach to comparing treatments with a control (1992) (2)
Ranking and selection problems for normal populations with common known coefficient of variation (1978) (2)
Estimation of a parametric function associated with the lognormal distribution (2017) (2)
Two-Stage Procedures for Comparing Treatments with a Control Elimination at the First Stage and Estimation at the Second Stage (1989) (2)
Optimal Allocation of Observations in Subset Selection and Multiple Comparisons with a Control, and Associated Tables (With Application to Drug Screening) (1987) (1)
A Survey of Literature on Estimation Methods for Quantal Response Curves with a View Toward Applying them to the... (1984) (1)
Erratum: Stepwise gatekeeping procedures in clinical trial applications (Biometrical Journal (2006) 48:6 (984-991)) (2006) (1)
Two‐Level Factorial Experiments (2012) (1)
Group sequential Holm and Hochberg procedures (2021) (1)
Control charts for autocorrelated process data (1997) (1)
Comparing variances of several measurement methods using a randomized block design with repeat measurements: A case study (2005) (1)
Journal of Biopharmaceutical Statistics: Introduction (2003) (1)
Three‐Level and Mixed‐Level Factorial Experiments (2012) (1)
Repeated Measures Experiments (2012) (1)
Some Miscellaneous Multiple Comparison Problems (2008) (1)
Two‐Level Fractional Factorial Experiments (2012) (1)
Procedures for Mixed Two‐Way Layouts and Designs with Random Covariates (2008) (1)
Some Probability Inequalities Useful in Multiple Comparisons (2008) (1)
Indian Statistical Institute Ranking and Selection Problems for Normal Populations with Common Known Coefficient of Variation Author ( s ) : (2008) (0)
Discussion of a Paper in Statistical Science by A.S. Hetadat, M. Jacroux and D. Mayumdur (1988) (0)
Biometrika Trust An Iterated Integral Representation for a Multivariate Normal Integral Having Block (2010) (0)
Asymptotic Efficiency of Bechhofer's Single-Stage Procedure Relative to a Two- Stage Procedure for Selecting the Largest Normal Mean (1975) (0)
Review of Elementary Statistics (2012) (0)
Eulogy to Charles Dunnett (1921–2007) (2008) (0)
Conflicting birthweight and infant mortality trends in a high-risk urban neighborhood (1985) (0)
Comment (2005) (0)
Single‐Factor Experiments: Multiple Comparison and Selection Procedures (2012) (0)
Chapter 4 Analysis of Multiple Endpoints in Clinical Trials (2012) (0)
Indian Statistical Institute Incomplete Block Designs for Comparing Treatments with a Control ( II ) : Optimal Designs for One-Sided Comparisons (2008) (0)
Appendix B: Case Studies (2012) (0)
Multiple Test Procedures Based on p-Values (2021) (0)
Nested, Crossed‐Nested, and Split‐Plot Experiments (2012) (0)
Reviews of Books and Teaching Materials (2011) (0)
Procedures for Some Nonhierarchical Finite Families of Comparisons (2008) (0)
Procedures for One‐Way Layouts with Unequal Variances (2008) (0)
Optimal Procedures Based on Decision‐Theoretic, Bayesian, and Other Approaches (2008) (0)
General Factorial Experiments (2012) (0)
Appendix C: Statistical Tables (2012) (0)
Editorial for the special topic on multiple comparison procedures (2017) (0)
R & D NOTES Detection of Gross Errors in Process Data (1982) (0)
Wiley Series in Probability and Statistics (2009) (0)
Selecting the Normal Population with the Smallest Coefficient of Variation (2009) (0)
Tables of Optimal Allocations of Observations for Comparing Treatments with a Control. (1981) (0)
Random and Mixed Crossed‐Factors Experiments (2012) (0)
Some Probability Distributions and Tables Useful in Multiple Comparisons (2008) (0)
Appendix A: Vector‐Valued Random Variables and Some Distribution Theory (2012) (0)
Predictive Analytics (2020) (0)
DETECTION OF GROSS ERRORS IN PROCESS DATA USING MEASUREMENT TEST PART II. POWER OF THE TEST BY COMPUTER SIMULATION. (1984) (0)
Indian Statistical Institute Incomplete Block Designs for Comparing Treatments with a Control ( II ) : Optimal Designs for One-Sided Comparisons (2008) (0)
Reviews of Books and Teaching Materials (2013) (0)
Theory of Linear Models with Fixed Effects (2012) (0)
Randomized Block Designs and Extensions (2012) (0)
Introduction (2003) (0)

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What Schools Are Affiliated With Ajit Tamhane?

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Ajit Tamhane's Academic­Influence.com Rankings