Statistical Methods for Research Workers

Reconstruction of Cell-type-Specific Interactomes at Single-Cell Resolution

Mohammadi, S., Davila-Velderrain, J., & Kellis, M. (2019) · Cell Systems · doi:10.1016/j.cels.2019.10.007 · Cited by 73

Gamified Requirements Engineering: Model and Experimentation

Lombriser, P., Dalpiaz, F., Lucassen, G., & Brinkkemper, S. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-30282-9_12 · Cited by 73

Causal discovery in social media using quasi-experimental designs

Oktay, H., Taylor, B. J., & Jensen, D. D. (2010) · Proceedings of the First Workshop on Social Media Analytics · doi:10.1145/1964858.1964859 · Cited by 71

Action-specific value signals in reward-related regions of the human brain

FitzGerald, T. H. B., Friston, K. J., & Dolan, R. J. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.3254-12.2012 · Cited by 68

Using the NIH Toolbox Cognition Battery (NIHTB-CB) in individuals with traumatic brain injury.

Tulsky, D. S., Carlozzi, N. E., Holdnack, J., Heaton, R. K., Wong, A., Goldsmith, A., & Heinemann, A. W. (2017) · Rehabilitation Psychology · doi:10.1037/rep0000174 · Cited by 67

Combining independent p values: Extensions of the Stouffer and binomial methods.

Darlington, R. B., & Hayes, A. F. (2000) · Psychological Methods · doi:10.1037/1082-989x.5.4.496 · Cited by 66

Evidential reasoning for preprocessing uncertain categorical data for trustworthy decisions: An application on healthcare and finance

Sachan, S., Almaghrabi, F., Yang, J.-B., & Xu, D.-L. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115597 · Cited by 66

Causal Reasoning from Longitudinal Data*

Arjas, E., & Parner, J. (2004) · Scandinavian Journal of Statistics · doi:10.1111/j.1467-9469.2004.02-134.x · Cited by 65

Genome-wide significant regions in 43 Utah high-risk families implicate multiple genes involved in risk for completed suicide

Coon, H., Darlington, T. M., DiBlasi, E., Callor, W. B., Ferris, E., Fraser, A., Yu, Z., William, N., Das, S. C., Crowell, S. E., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-018-0282-3 · Cited by 64

Distributed analogical idea generation: inventing with crowds

Yu, L., Kittur, A., & Kraut, R. E. (2014) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557371 · Cited by 60

From Boulder to Stockholm in 70 Years: Single Case Experimental Designs in Clinical Research

Vlaeyen, J. W. S., Wicksell, R. K., Simons, L. E., Gentili, C., De, T. K., Tate, R. L., Vohra, S., Punja, S., Linton, S. J., Sniehotta, F. F., et al. (2020) · The Psychological Record · doi:10.1007/s40732-020-00402-5 · Cited by 63

Assessment of Alzheimer’s disease case–control associations using family-based methods

Schjeide, B.-M. M., McQueen, M. B., Mullin, K., DiVito, J., Hogan, M. F., Parkinson, M., Hooli, B., Lange, C., Blacker, D., Tanzi, R. E., et al. (2009) · neurogenetics · doi:10.1007/s10048-008-0151-3 · Cited by 57

Supplementing Tests of Statistical Significance: Variation Accounted For

Young, M. A. (1993) · Journal of Speech Language and Hearing Research · doi:10.1044/jshr.3604.644 · Cited by 56

Assessing ‘what works’ in international development: meta-analysis for sophisticated dummies

Duvendack, M., Hombrados, J. G., Palmer-Jones, R., & Waddington, H. (2012) · Journal of Development Effectiveness · doi:10.1080/19439342.2012.710642 · Cited by 52

Age-related neural changes during memory conjunction errors

Giovanello, K. S., Kensinger, E. A., Wong, A. T., & Schacter, D. L. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21274 · Cited by 51

Discovery of a Sexual Cycle in Aspergillus lentulus, a Close Relative of A. fumigatus

Swilaiman, S. S., O'Gorman, C. M., Balajee, S. A., & Dyer, P. S. (2013) · Eukaryotic Cell · doi:10.1128/ec.00040-13 · Cited by 50

An Empirical Validation of Malicious Insider Characteristics

Liang, N. (., Biros, D. P., & Luse, A. (2016) · Journal of Management Information Systems · doi:10.1080/07421222.2016.1205925 · Cited by 48

Race and IQ: A Theory-Based Review of the Research in Richard Nisbett - s Intelligence and How to Get It

Rushton, J. P., & Jensen, A. R. (2010) · The Open Psychology Journal · doi:10.2174/1874350101003010009 · Cited by 48

Pooling/bootstrap-based GWAS (pbGWAS) identifies new loci modifying the age of onset in PSEN1 p.Glu280Ala Alzheimer's disease

Vélez, J. I., Chandrasekharappa, S. C., Henao, E., Martinez, A. F., Harper, U., Jones, M., Solomon, B. D., Lopez, L., Garcia, G., Aguirre-Acevedo, D. C., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.81 · Cited by 44

Interpretation of the p value: A national survey study in academic psychologists from Spain

Badenes-Ribera, L., Frías-Navarro, D., Monterde-i-Bort, H., & Pascual-Soler, M. (2015) · Psicothema · doi:10.7334/psicothema2014.283 · Cited by 41

A geometric perspective on the power of principal component association tests in multiple phenotype studies

Liu, Z., & Lin, X. (2019) · Journal of the American Statistical Association · doi:10.1080/01621459.2018.1513363 · Cited by 36

Age at onset, course of illness and response to psychotherapy in bipolar disorder: results from the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD)

Peters, A., Sylvia, L. G., da Silva Magalhães, P. V., Miklowitz, D. J., Frank, E., Otto, M. W., Hansen, N. S., Dougherty, D. D., Berk, M., Nierenberg, A. A., et al. (2014) · Psychological Medicine · doi:10.1017/s0033291714000804 · Cited by 41

Disentangling canid howls across multiple species and subspecies: Structure in a complex communication channel

Kershenbaum, A., Root-Gutteridge, H., Habib, B., Koler-Matznick, J., Mitchell, B., Palacios, V., & Waller, S. (2016) · Behavioural Processes · doi:10.1016/j.beproc.2016.01.006 · Cited by 38

Randomization tests: A new gold standard?

Dugard, P. (2014) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2013.10.001 · Cited by 37

Partially Replicated Latin Squares

Youden, W. J., & Hunter, J. S. (1955) · Biometrics · doi:10.2307/3001719 · Cited by 35

Self-Healing Capacity of Asphalt Mixtures Including By-Products Both as Aggregates and Heating Inductors

Vila-Cortavitarte, M., Jato-Espino, D., Castro-Fresno, D., & Calzada-Pérez, M. Á. (2018) · Materials · doi:10.3390/ma11050800 · Cited by 35

Application of meta-analysis in reviewing occupational cohort studies.

Wong, O., & Raabe, G. K. (1996) · Occupational and Environmental Medicine · doi:10.1136/oem.53.12.793 · Cited by 34

Why statistical inference from clinical trials is likely to generate false and irreproducible results

Hanin, L. (2017) · BMC Medical Research Methodology · doi:10.1186/s12874-017-0399-0 · Cited by 32

Altered Relationship between Working Memory and Brain Microstructure after Mild Traumatic Brain Injury

Chung, S., Wang, X., Fieremans, E., Rath, J. F., Amorapanth, P., Foo, F.-Y. A., Morton, C. J., Novikov, D. S., Flanagan, S. R., & Lui, Y. W. (2019) · American Journal of Neuroradiology · doi:10.3174/ajnr.a6146 · Cited by 31

Can hypnotic suggestibility be measured online?

Palfi, B., Moga, G., Lush, P., Scott, R. B., & Dienes, Z. (2020) · Psychological Research · doi:10.1007/s00426-019-01162-w · Cited by 31

Bayesian Hypothesis Testing: An Alternative to Null Hypothesis Significance Testing (NHST) in Psychology and Social Sciences

Ortega, A., & Navarrete, G. (2017) · Bayesian Inference · doi:10.5772/intechopen.70230 · Cited by 31

An appraisal of the Carlisle-Stouffer-Fisher method for assessing study data integrity and fraud

Mascha, E. J., Vetter, T. R., & Pittet, J.-F. (2017) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000002415 · Cited by 30

Large-Scale Privacy-Preserving Statistical Computations for Distributed Genome-Wide Association Studies

Tkachenko, O., Weinert, C., Schneider, T., & Hamacher, K. (2018) · Proceedings of the 2018 on Asia Conference on Computer and Communications Security · doi:10.1145/3196494.3196541 · Cited by 27

Two approaches to etiology: the debate over smoking and lung cancer in the 1950s

Parascandola, M. (2004) · Endeavour · doi:10.1016/j.endeavour.2004.02.003 · Cited by 29

Transient Adverse Side Effects During Neurofeedback Training: A Randomized, Sham-Controlled, Double Blind Study

Rogel, A., Guez, J., Getter, N., Keha, E., Cohen, T., Amor, T., & Todder, D. (2015) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-015-9289-6 · Cited by 29

Consistency errors in p-values reported in Spanish psychology journals

Caperos, J., & Pardo, A. (2013) · Psicothema · doi:10.7334/psicothema2012.207 · Cited by 23

Applications of inferential statistical methods in library and information science

Zhang, J., Wang, Y., Zhao, Y., & Cai, X. (2018) · Data and Information Management · doi:10.2478/dim-2018-0007 · Cited by 21

Is clinician-supported use of a mindfulness smartphone app a feasible treatment for depression? A mixed-methods feasibility study

Strauss, C., Dunkeld, C., & Cavanagh, K. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100413 · Cited by 19

On the validity condition of the chi-squared test in 2×2 tables

Andrés, A. M., Sánchez Quevedo, M. J., Tapia García, J. M., & Silva-Mato, A. (2005) · Test · doi:10.1007/bf02595399 · Cited by 18

Variability in learning under massed and spaced practice.

Garrett, H. E. (1940) · Journal of Experimental Psychology · doi:10.1037/h0061166 · Cited by 18

On universal common ancestry, sequence similarity, and phylogenetic structure: the sins of P-values and the virtues of Bayesian evidence

Theobald, D. L. (2011) · Biology Direct · doi:10.1186/1745-6150-6-60 · Cited by 16

Standardized Effect Sizes and Image-Based Meta-Analytical Approaches for fMRI Data

Bossier, H., Nichols, T. E., & Moerkerke, B. (2019) · doi:10.1101/865881 · Cited by 14

Untitled work

(2009) · PubMed · Cited by 13

Met carriers of the BDNF Val66Met polymorphism show reduced Glx/NAA in the pregenual ACC in two independent cohorts

Martens, L., Herrmann, L., Colic, L., Li, M., Richter, A., Behnisch, G., Stork, O., Seidenbecher, C., Schott, B. H., & Walter, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-86220-3 · Cited by 12

A reckless guide to P-values: local evidence, global errors

Lew, M. J. (2019) · arXiv · doi:10.48550/arxiv.1910.02042 · Cited by 2