Multiple Comparisons Using R

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works

Simultaneous Inference in General Parametric Models

Hothorn, T., Bretz, F., & Westfall, P. H. (2008) · Biometrical Journal · doi:10.1002/bimj.200810425 · Cited by 13,950 · see citing works

Gentleman R: R: A language for data analysis and graphics

Ihaka, R., & Gentleman, R. (1996) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1996.10474713 · Cited by 11,747 · see citing works

The control of the false discovery rate in multiple testing under dependency

Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490 · see citing works

A Multiple Comparison Procedure for Comparing Several Treatments with a Control

Dunnett, C. W. (1955) · Journal of the American Statistical Association · doi:10.1080/01621459.1955.10501294 · Cited by 5,930 · see citing works

A Direct Approach to False Discovery Rates

Storey, J. D. (2002) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00346 · Cited by 5,603 · see citing works

A Multiple Testing Procedure for Clinical Trials

O'Brien, P. C., & Fleming, T. R. (1979) · Biometrics · doi:10.2307/2530245 · Cited by 3,311 · see citing works

Rectangular Confidence Regions for the Means of Multivariate Normal Distributions

Šidák, Z. (1967) · Journal of the American Statistical Association · doi:10.1080/01621459.1967.10482935 · Cited by 2,904 · see citing works

An improved Bonferroni procedure for multiple tests of significance

SIMES, R. J. (1986) · Biometrika · doi:10.1093/biomet/73.3.751 · Cited by 2,396 · see citing works

Discrete sequential boundaries for clinical trials

GORDON LAN, K. K., & DEMETS, D. L. (1983) · Biometrika · doi:10.1093/biomet/70.3.659 · Cited by 2,310 · see citing works

The positive false discovery rate: a Bayesian interpretation and the q-value

Storey, J. D. (2003) · The Annals of Statistics · doi:10.1214/aos/1074290335 · Cited by 2,204 · see citing works

Group sequential methods in the design and analysis of clinical trials

POCOCK, S. J. (1977) · Biometrika · doi:10.1093/biomet/64.2.191 · Cited by 1,831 · see citing works

On closed testing procedures with special reference to ordered analysis of variance

Marcus, R., Peritz, E., & Gabriel, K. R. (1976) · Biometrika · doi:10.1093/biomet/63.3.655 · Cited by 1,417 · see citing works

A Stagewise Rejective Multiple Test Procedure Based on a Modified Bonferroni Test

Hommel, G. (1988) · Biometrika · doi:10.1093/biomet/75.2.383 · Cited by 1,367 · see citing works

On the adaptive control of the false discovery rate in multiple testing with independent statistics

Benjamini, Y., & Hochberg, Y. (2000) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986025001060 · Cited by 1,349 · see citing works

Adjusted P-Values for Simultaneous Inference

Wright, S. P. (1992) · Biometrics · doi:10.2307/2532694 · Cited by 1,026 · see citing works

Resampling-Based Multiple Testing.

Booth, J. G., Westfall, P. H., & Young, S. S. (1994) · Journal of the American Statistical Association · doi:10.2307/2291234 · Cited by 914 · see citing works

A Lego System for Conditional Inference

Hothorn, T., Hornik, K., van de Wiel, M. A., & Zeileis, A. (2006) · The American Statistician · doi:10.1198/000313006x118430 · Cited by 894 · see citing works

Evaluation of Experiments with Adaptive Interim Analyses

Bauer, P., & Kohne, K. (1994) · Biometrics · doi:10.2307/2533441 · Cited by 869 · see citing works

A Test for Differences between Treatment Means When Several Dose Levels are Compared with a Zero Dose Control

Williams, D. A. (1971) · Biometrics · doi:10.2307/2528930 · Cited by 780 · see citing works

Modified Sequentially Rejective Multiple Test Procedures

Shaffer, J. P. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478341 · Cited by 774 · see citing works

Object-Oriented Computation of Sandwich Estimators

Zeileis, A. (2006) · Journal of Statistical Software · doi:10.18637/jss.v016.i09 · Cited by 699 · see citing works

On a Heuristic Method of Test Construction and its use in Multivariate Analysis

Roy, S. (1953) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729029 · Cited by 631 · see citing works

Adaptive Sample Size Calculations in Group Sequential Trials

Lehmacher, W., & Wassmer, G. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.01286.x · Cited by 599 · see citing works

Modification of Sample Size in Group Sequential Clinical Trials

Cui, L., Hung, H. M. J., & Wang, S. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00853.x · Cited by 574 · see citing works

Designed Extension of Studies Based on Conditional Power

Proschan, M. A., & Hunsberger, S. (1995) · Biometrics · doi:10.2307/2533262 · Cited by 536 · see citing works

An Algorithm for a Letter-Based Representation of All-Pairwise Comparisons

Piepho, H. (2004) · Journal of Computational and Graphical Statistics · doi:10.1198/1061860043515 · Cited by 492 · see citing works

Testing the Statistical Certainty of a Response to Increasing Doses of a Drug

Tukey, J. W., Ciminera, J. L., & Heyse, J. F. (1985) · Biometrics · doi:10.2307/2530666 · Cited by 488 · see citing works

Plots of P-values to evaluate many tests simultaneously

Schweder, T., & Spjøtvoll, E. (1982) · Biometrika · doi:10.1093/biomet/69.3.493 · Cited by 440 · see citing works

Adaptive Group Sequential Designs for Clinical Trials: Combining the Advantages of Adaptive and of Classical Group Sequential Approaches

Müller, H., & Schäfer, H. (2001) · Biometrics · doi:10.1111/j.0006-341x.2001.00886.x · Cited by 374 · see citing works

Simultaneous Test Procedures--Some Theory of Multiple Comparisons

Gabriel, K. R. (1969) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177697819 · Cited by 367 · see citing works

Approximately Optimal One-Parameter Boundaries for Group Sequential Trials

Wang, S. K., & Tsiatis, A. A. (1987) · Biometrics · doi:10.2307/2531959 · Cited by 341 · see citing works

The Simes Method for Multiple Hypothesis Testing With Positively Dependent Test Statistics

Sarkar, S. K., & Chang, C.-K. (1997) · Journal of the American Statistical Association · doi:10.1080/01621459.1997.10473682 · Cited by 336 · see citing works

On the Asymptotic Theory of Permutation Statistics

Strasser, H., & Weber, C. (1999) · ePubWU Institutional Repository (Wirtschaftsuniversität Wien) · doi:10.57938/ff565ba0-aa64-4fe0-a158-86fd331bee78 · Cited by 256 · see citing works

Generalizations of the Familywise Error Rate

Lehmann, E. L., & Romano, J. P. (2011) · Springer eBooks · doi:10.1007/978-1-4614-1412-4_57 · Cited by 253 · see citing works

The Simes Method for Multiple Hypothesis Testing With Positively Dependent Test Statistics

Sarkar, S. K., & Chang, C.-K. (1997) · Journal of the American Statistical Association · doi:10.2307/2965431 · Cited by 253 · see citing works

Group sequential designs using a family of type I error probability spending functions

Hwang, I. K., Shih, W. J., & de Cani, J. S. (1990) · Statistics in Medicine · doi:10.1002/sim.4780091207 · Cited by 247 · see citing works

Testing and estimation in flexible group sequential designs with adaptive treatment selection

Posch, M., König, F., Branson, M., Brannath, W., Dunger‐Baldauf, C., & Bauer, P. (2005) · Statistics in Medicine · doi:10.1002/sim.2389 · Cited by 244 · see citing works

Multiple Testing of General Contrasts Using Logical Constraints and Correlations

Westfall, P. H. (1997) · Journal of the American Statistical Association · doi:10.1080/01621459.1997.10473627 · Cited by 223 · see citing works

Augmentation Procedures for Control of the Generalized Family-Wise Error Rate and Tail Probabilities for the Proportion of False Positives

van der Laan, M. J., Dudoit, S., & Pollard, K. S. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1042 · Cited by 180 · see citing works

Simultaneous and selective inference: Current successes and future challenges

Benjamini, Y. (2010) · Biometrical Journal · doi:10.1002/bimj.200900299 · Cited by 169 · see citing works

Improvements of General Multiple Test Procedures for Redundant Systems of Hypotheses

Bergmann, B., & Hommel, G. (1988) · Medizinische Informatik und Statistik · doi:10.1007/978-3-642-52307-6_8 · Cited by 168 · see citing works

Step‐down multiple tests for comparing treatments with a control in unbalanced one‐way layouts

Dunnett, C. W., & Tamhane, A. C. (1991) · Statistics in Medicine · doi:10.1002/sim.4780100614 · Cited by 156 · see citing works

A fixed sequence Bonferroni procedure for testing multiple endpoints

Wiens, B. L. (2003) · Pharmaceutical Statistics · doi:10.1002/pst.64 · Cited by 156 · see citing works

Numerical computation of multivariate t -probabilities with application to power calculation of multiple contrasts

Genz, A. C., & Bretz, F. (1999) · Journal of Statistical Computation and Simulation · doi:10.1080/00949659908811962 · Cited by 154 · see citing works

Analysis and interpretation

(1998) · Materials science and technology/Materials science & technology · doi:10.1201/9781420049909.ch6 · Cited by 150 · see citing works

Ordered tests in the analysis of variance

Bartholomew, D. J. (1961) · Biometrika · doi:10.1093/biomet/48.3-4.325 · Cited by 144 · see citing works

Compatible simultaneous lower confidence bounds for the Holm procedure and other Bonferroni‐based closed tests

Straßburger, K., & Bretz, F. (2008) · Statistics in Medicine · doi:10.1002/sim.3338 · Cited by 128 · see citing works

The Fallback Procedure for Evaluating a Single Family of Hypotheses

Wiens, B. L., & Dmitrienko, A. A. (2005) · Journal of Biopharmaceutical Statistics · doi:10.1080/10543400500265660 · Cited by 127 · see citing works

Confirmatory Seamless Phase II/III Clinical Trials with Hypotheses Selection at Interim: Applications and Practical Considerations

Schmidli, H., Bretz, F., Racine, A., & Maurer, W. (2006) · Biometrical Journal · doi:10.1002/bimj.200510231 · Cited by 127 · see citing works

A Theory of Some Multiple Decision Problems, I

Lehmann, E. L. (2011) · Springer eBooks · doi:10.1007/978-1-4614-1412-4_53 · Cited by 126 · see citing works

Stepwise Confidence Intervals without Multiplicity Adjustment for Dose—Response and Toxicity Studies

Hsu, J. C., & Berger, R. L. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474141 · Cited by 125 · see citing works

The partitioning principle: a powerful tool in multiple decision theory

Finner, H., & Straßburger, K. (2002) · The Annals of Statistics · doi:10.1214/aos/1031689023 · Cited by 123 · see citing works

Multiple Testing with Minimal Assumptions

Westfall, P. H., & Troendle, J. F. (2008) · Biometrical Journal · doi:10.1002/bimj.200710456 · Cited by 117 · see citing works

Comparison of Methods for Estimating the Number of True Null Hypotheses in Multiplicity Testing

Hsueh, H., Chen, J. J., & Kodell, R. L. (2003) · Journal of Biopharmaceutical Statistics · doi:10.1081/bip-120024202 · Cited by 113 · see citing works

Power and sample size when multiple endpoints are considered

Senn, S. J., & Bretz, F. (2007) · Pharmaceutical Statistics · doi:10.1002/pst.301 · Cited by 111 · see citing works

Regression models: calculating the confidence interval of effects in the presence of interactions

Figueiras, A., Domenech, J. M., & Cadarso-Suárez, C. (1998) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19980930)17:18 · Cited by 104 · see citing works

On Confidence Sets in Multiple Comparisons

Stefánsson, G., Kim, W.-C., & Hsu, J. C. (1988) · Springer eBooks · doi:10.1007/978-1-4612-3818-8_8 · Cited by 101 · see citing works

Methods for the Computation of Multivariate t-Probabilities ∗

Genz, A. C., Bretz, F., & Bioinformatik, L. (2002) · Cited by 91 · see citing works

Tests of the Overall Hypothesis for Arbitrary Dependence Structures

Hommel, G. (1983) · Biometrical Journal · doi:10.1002/bimj.19830250502 · Cited by 90 · see citing works

Improved Prediction of Body Fat by Measuring Skinfold Thickness, Circumferences, and Bone Breadths

García, A. L., Wagner, K., Hothorn, T., Koebnick, C., Zunft, H.-J. F., & Trippo, U. (2005) · Obesity Research · doi:10.1038/oby.2005.67 · Cited by 75 · see citing works

Controlling the Familywise Error Rate with Plug-in Estimator for the Proportion of True Null Hypotheses

Finner, H., & Gontscharuk, V. (2009) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2009.00719.x · Cited by 69 · see citing works

Control of Directional Errors with Stagewise Multiple Test Procedures

Shaffer, J. P. (1980) · The Annals of Statistics · doi:10.1214/aos/1176345205 · Cited by 66 · see citing works

Pairwise Comparisons of Generally Correlated Means

Hayter, A. J. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478757 · Cited by 65 · see citing works

Some selection rules for comparing p processes with a standard

Naik, U. D. (1975) · Communications in Statistics · doi:10.1080/03610927508827267 · Cited by 64 · see citing works

Ensemble-adjusted p values.

Rosenthal, R., & Rubin, D. B. (1983) · Psychological Bulletin · doi:10.1037/0033-2909.94.3.540 · Cited by 62 · see citing works

Stepwise multiple test procedures and control of directional errors

Finner, H. (1999) · The Annals of Statistics · doi:10.1214/aos/1018031111 · Cited by 61 · see citing works

Multiple Hypotheses Testing

Hommel, G., & Bernhard, G. (1993) · Contributions to statistics · doi:10.1007/978-3-642-99766-2_10 · Cited by 58 · see citing works

Analysis of Dose–Response Studies—Modeling Approaches

Pinheiro, J. C., Bretz, F., & Branson, M. (2006) · Springer eBooks · doi:10.1007/0-387-33706-7_10 · Cited by 57 · see citing works

Closed procedures are better and often admit a shortcut

Grechanovsky, E., & Hochberg, Y. (1999) · Journal of Statistical Planning and Inference · doi:10.1016/s0378-3758(98)00125-6 · Cited by 44 · see citing works

General Solutions to Multiple Testing Problems

Sonnemann, E. (2008) · Biometrical Journal · doi:10.1002/bimj.200810462 · Cited by 44 · see citing works

Ensemble-adjusted p values.

Rosenthal, R., & Rubin, D. B. (1983) · Psychological Bulletin · doi:10.1037//0033-2909.94.3.540 · Cited by 44 · see citing works

Weighted FWE-controlling methods in high-dimensional situations

Westfall, P. H., Kropf, S., & Finos, L. (2004) · Lecture notes-monograph series · doi:10.1214/lnms/1196285632 · Cited by 38 · see citing works

Shortcuts for Locally Consonant Closed Test Procedures

Brannath, W., & Bretz, F. (2010) · Journal of the American Statistical Association · doi:10.1198/jasa.2010.tm08127 · Cited by 34 · see citing works

Multiple Test Procedures for Identifying the Maximum Safe Dose

Tamhane, A. C., Dunnett, C. W., Green, J. W., & Wetherington, J. D. (2001) · Journal of the American Statistical Association · doi:10.1198/016214501753208546 · Cited by 34 · see citing works

Aesthetics and Power Considerations in Multiple Testing – A Contradiction?

Hommel, G., & Bretz, F. (2008) · Biometrical Journal · doi:10.1002/bimj.200710463 · Cited by 34 · see citing works

Multiple testing of pairs of one-sided hypotheses

Bauer, P., Hackl, P., Hommel, G., & Sonnemann, E. (1986) · Metrika · doi:10.1007/bf01894737 · Cited by 33 · see citing works

Bonferroni procedures for logically related hypotheses

Hommel, G., & Bernhard, G. (1999) · Journal of Statistical Planning and Inference · doi:10.1016/s0378-3758(99)00035-x · Cited by 32 · see citing works

Generalized Maximum Range Tests for Pairwise Comparisons of Several Populations

Royen, T. (1989) · Biometrical Journal · doi:10.1002/bimj.4710310804 · Cited by 26 · see citing works

Step Down Procedures for Comparison With a Control

Bofinger, E. (1987) · Australian Journal of Statistics · doi:10.1111/j.1467-842x.1987.tb00751.x · Cited by 26 · see citing works

Exploratory Data Analysis and Clinical Research

Victor, N. (1982) · Methods of Information in Medicine · doi:10.1055/s-0038-1635393 · Cited by 26 · see citing works

Comparison of treatments in a combination therapy trial

Patel, H. I. (1991) · Journal of Biopharmaceutical Statistics · doi:10.1080/10543409108835016 · Cited by 25 · see citing works

Partitioning to Uncover Conditions for Permutation Tests to Control Multiple Testing Error Rates

Calian, V., Li, D., & Hsu, J. C. (2008) · Biometrical Journal · doi:10.1002/bimj.200710471 · Cited by 23 · see citing works

Some design considerations

Blacker, E. (1960) · New Zealand Engineering · Cited by 23 · see citing works

On improving the min test for the analysis of combination drug trials

Sarkar, S. K., Snapinn, S., & Wang, W. (1995) · Journal of Statistical Computation and Simulation · doi:10.1080/00949659508811632 · Cited by 17 · see citing works

Combining P Values

Westfall, P. H. (2005) · Encyclopedia of Biostatistics · doi:10.1002/0470011815.b2a15181 · Cited by 14 · see citing works

Abgeschlossene multiple Spannweitentests

Finner, H. (1988) · Medizinische Informatik und Statistik · doi:10.1007/978-3-642-52307-6_2 · Cited by 10 · see citing works

Multiple Comparison Procedures in Dose Response Studies

Tamhane, A. C., & Logan, B. R. (2006) · Springer eBooks · doi:10.1007/0-387-33706-7_11 · Cited by 9 · see citing works

On δ-Equivalence With the Best in k-Sample Models

Finner, H., & Straßburger, K. (2006) · Journal of the American Statistical Association · doi:10.1198/016214505000001014 · Cited by 8 · see citing works

Mean–Mean Multiple Comparison Displays for Families of Linear Contrasts

Heiberger, R. M., & Holland, B. S. (2006) · Journal of Computational and Graphical Statistics · doi:10.1198/106186006x160500 · Cited by 6 · see citing works

Multiple comparisons with more than one control

Spurrier, J. D., & Solorzano, E. (2004) · Lecture notes-monograph series · doi:10.1214/lnms/1196285630 · Cited by 4 · see citing works

Group Sequential Designs

Wassmer, G. (2005) · Encyclopedia of Statistical Sciences · doi:10.1002/0471667196.ess7175 · Cited by 3 · see citing works

A simple method of sample size calculation for linear and logistic regression

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Untitled work

Christensen (1997) · doi:10.1002/(sici)1099-1166(199703)12:3

Transfer of intestinal microbiota from lean donors increases insulin sensitivity in individuals with metabolic syndrome

Vrieze, A., Van Nood, E., Holleman, F., Salojärvi, J., Kootte, R. S., Bartelsman, J. F. W. M., Dallinga–Thie, G. M., Ackermans, M. T., Serlie, M. J., Oozeer, R., et al. (2012) · Gastroenterology · doi:10.1053/j.gastro.2012.06.031 · Cited by 2,913 · see citing works

Estimating and comparing time‐dependent areas under receiver operating characteristic curves for censored event times with competing risks

Blanche, P., Dartigues, J., & Jacqmin‐Gadda, H. (2013) · Statistics in Medicine · doi:10.1002/sim.5958 · Cited by 1,877 · see citing works

A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex

Markov, N. T., Ercsey-Ravasz, M. M., Ribeiro Gomes, A. R., Lamy, C., Magrou, L., Vezoli, J., Misery, P., Falchier, A., Quilodran, R., Gariel, M. A., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs270 · Cited by 857 · see citing works

Microplastic Shape, Polymer Type, and Concentration Affect Soil Properties and Plant Biomass

Lozano, Y. M., Lehnert, T., Linck, L. T., Lehmann, A., & Rillig, M. C. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.616645 · Cited by 673 · see citing works

Simulation-Based Power Analysis for Factorial Analysis of Variance Designs

Lakens, D., & Caldwell, A. R. (2021) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245920951503 · Cited by 602 · see citing works

Ingestion of micro- and nanoplastics in Daphnia magna—Quantification of body burdens and assessment of feeding rates and reproduction

Rist, S., Baun, A., & Hartmann, N. B. (2017) · Environmental Pollution · doi:10.1016/j.envpol.2017.05.048 · Cited by 571 · see citing works

Biomass Production and Carbon/Nitrogen Ratio Influence Ecosystem Services from Cover Crop Mixtures

Finney, D. M., White, C. M., & Kaye, J. P. (2015) · Agronomy Journal · doi:10.2134/agronj15.0182 · Cited by 566 · see citing works

Combination Antifungal Therapy for Cryptococcal Meningitis

Day, J., Chau, T. T., Wolbers, M., Mai, P. P., Dung, N. T., Mai, N. H., Phu, N. H., Nghia, H. D. T., Phong, N. D., Cao, Q. T., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1110404 · Cited by 542 · see citing works

Forest resilience to drought varies across biomes

Gazol, A., Camarero, J. J., Vicente-Serrano, S. M., Sánchez‐Salguero, R., Gutiérrez, E., de Luis, M., Sangüesa‐Barreda, G., Novak, K., Rozas, V., Tíscar, P. A., et al. (2018) · Global Change Biology · doi:10.1111/gcb.14082 · Cited by 483 · see citing works

An introduction to multiplicity issues in clinical trials: the what, why, when and how

Li, G., Taljaard, M., Van den Heuvel, E. R., Levine, M. A., Cook, D. J., Wells, G. A., Devereaux, P. J., & Thabane, L. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw320 · Cited by 381 · see citing works

ExpDes: An R Package for ANOVA and Experimental Designs

Ferreira, E. B., Cavalcanti, P. P., & Nogueira, D. A. (2014) · Applied Mathematics · doi:10.4236/am.2014.519280 · Cited by 387 · see citing works

Linking anthropogenic resources to wildlife–pathogen dynamics: a review and meta-analysis

Becker, D., Streicker, D., & Altizer, S. (2015) · Ecology Letters · doi:10.1111/ele.12428 · Cited by 336 · see citing works

When to adjust alpha during multiple testing: a consideration of disjunction, conjunction, and individual testing

Rubin, M. (2021) · Synthese · doi:10.1007/s11229-021-03276-4 · Cited by 371 · see citing works

Smart City Digital Twin–Enabled Energy Management: Toward Real-Time Urban Building Energy Benchmarking

Francisco, A., Mohammadi, N., & Taylor, J. E. (2019) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000741 · Cited by 326 · see citing works

nparcomp : An R Software Package for Nonparametric Multiple Comparisons and Simultaneous Confidence Intervals

Konietschke, F., Placzek, M., Schaarschmidt, F., & Hothorn, L. A. (2015) · Journal of Statistical Software · doi:10.18637/jss.v064.i09 · Cited by 316 · see citing works

Myocardial rescue with autologous mitochondrial transplantation in a porcine model of ischemia/reperfusion

Kaza, A. K., Wamala, I., Friehs, I., Kuebler, J. D., Rathod, R. H., Berra, I., Ericsson, M., Yao, R., Thedsanamoorthy, J. K., Zurakowski, D., et al. (2016) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2016.10.077 · Cited by 280 · see citing works

Qualitative Research Methods

Kazdin, A. E. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108993647.010 · Cited by 279 · see citing works

Gene expression under chronic heat stress in populations of the mustard hill coral ( P orites astreoides) from different thermal environments

Kenkel, C. D., Meyer, E., & Matz, M. V. (2013) · Molecular Ecology · doi:10.1111/mec.12390 · Cited by 258 · see citing works

Plant Pollinator Networks along a Gradient of Urbanisation

Geslin, B., Gauzens, B., Thébault, É., & Dajoz, I. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063421 · Cited by 252 · see citing works

Elevated virulence of an emerging viral genotype as a driver of honeybee loss

McMahon, D. P., Natsopoulou, M. E., Doublet, V., Fürst, M. A., Weging, S., Brown, M. J. F., Gogol‐Döring, A., & Paxton, R. J. (2016) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2016.0811 · Cited by 244 · see citing works

Explicit and Implicit Lexical Knowledge: Acquisition of Collocations Under Different Input Conditions

Sonbul, S., & Schmitt, N. (2012) · Language Learning · doi:10.1111/j.1467-9922.2012.00730.x · Cited by 236 · see citing works

opm: an R package for analysing OmniLog® phenotype microarray data

Vaas, L. A. I., Sikorski, J., Hofner, B., Fiebig, A., Buddruhs, N., Klenk, H., & Göker, M. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt291 · Cited by 220 · see citing works

Methods to adjust for multiple comparisons in the analysis and sample size calculation of randomised controlled trials with multiple primary outcomes

Vickerstaff, V., Omar, R., & Ambler, G. (2019) · BMC Medical Research Methodology · doi:10.1186/s12874-019-0754-4 · Cited by 212 · see citing works

The thresholds for statistical and clinical significance – a five-step procedure for evaluation of intervention effects in randomised clinical trials

Jakobsen, J. C., Gluud, C. N., Winkel, P., Lange, T., & Wetterslev, J. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-34 · Cited by 201 · see citing works

Rapid publication-ready MS-Word tables for one-way ANOVA

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Apoplastic Reactive Oxygen Species Transiently Decrease Auxin Signaling and Cause Stress-Induced Morphogenic Response in Arabidopsis

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