Mixed-Effects Models in Sand S-PLUS

Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence

Singer, J. D., & Willett, J. B. (2003) · doi:10.1093/acprof:oso/9780195152968.001.0001 · Cited by 10,647

A general and simple method for obtaining R 2 from generalized linear mixed‐effects models

Nakagawa, S., & Schielzeth, H. (2013) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00261.x · Cited by 10,356

Generalized linear mixed models: a practical guide for ecology and evolution

Bolker, B. M., Brooks, M. E., Clark, C. J., Geange, S. W., Poulsen, J. R., Stevens, M. H. H., & White, J.-S. S. (2009) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2008.10.008 · Cited by 8,910

Mixed-effects modeling with crossed random effects for subjects and items

Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2007.12.005 · Cited by 8,540

A protocol for data exploration to avoid common statistical problems: Data exploration

Zuur, A. F., Ieno, E. N., & Elphick, C. S. (2010) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2009.00001.x · Cited by 8,228

Methods to account for spatial autocorrelation in the analysis of species distributional data: a review.

F. Dormann, C., M. McPherson, J., B. Araújo, M., Bivand, R., Bolliger, J., Carl, G., G. Davies, R., Hirzel, A., Jetz, W., Daniel Kissling, W., et al. (2007) · Ecography · doi:10.1111/j.2007.0906-7590.05171.x · Cited by 3,433

Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models

Jaeger, T. F. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2007.11.007 · Cited by 3,317

Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation

Shaw, P., Eckstrand, K., Sharp, W., Blumenthal, J., Lerch, J. P., Greenstein, D., Clasen, L., Evans, A., Giedd, J., & Rapoport, J. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707741104 · Cited by 1,819

Intellectual ability and cortical development in children and adolescents

Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., Evans, A., Rapoport, J., & Giedd, J. (2006) · Nature · doi:10.1038/nature04513 · Cited by 1,543

Longitudinal Research: The Theory, Design, and Analysis of Change

Ployhart, R. E., & Vandenberg, R. J. (2010) · Journal of Management · doi:10.1177/0149206309352110 · Cited by 1,496

Network meta‐analysis for indirect treatment comparisons

Lumley, T. (2002) · Statistics in Medicine · doi:10.1002/sim.1201 · Cited by 1,206

Individual Power Distance Orientation and Follower Reactions to Transformational Leaders: A Cross-Level, Cross-Cultural Examination

Kirkman, B. L., Chen, G., Farh, J.-L., Chen, Z. X., & Lowe, K. B. (2009) · Academy of Management Journal · doi:10.5465/amj.2009.43669971 · Cited by 1,094

Methodological issues and advances in biological meta-analysis

Nakagawa, S., & Santos, E. S. A. (2012) · Evolutionary Ecology · doi:10.1007/s10682-012-9555-5 · Cited by 1,032

Contribution of cerebrovascular disease in autopsy confirmed neurodegenerative disease cases in the National Alzheimer’s Coordinating Centre

Toledo, J. B., Arnold, S. E., Raible, K., Brettschneider, J., Xie, S. X., Grossman, M., Monsell, S. E., Kukull, W. A., & Trojanowski, J. Q. (2013) · Brain · doi:10.1093/brain/awt188 · Cited by 849

Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex

Markov, N. T., Vezoli, J., Chameau, P., Falchier, A., Quilodran, R., Huissoud, C., Lamy, C., Misery, P., Giroud, P., Ullman, S., et al. (2014) · Journal of Comparative Neurology · doi:10.1002/cne.23458 · Cited by 759

Predictors of amygdala activation during the processing of emotional stimuli: A meta-analysis of 385 PET and fMRI studies

Costafreda, S. G., Brammer, M. J., David, A. S., & Fu, C. H. Y. (2008) · Brain Research Reviews · doi:10.1016/j.brainresrev.2007.10.012 · Cited by 772

Multivariate meta-analysis for non-linear and other multi-parameter associations

Gasparrini, A., Armstrong, B., & Kenward, M. G. (2012) · Statistics in Medicine · doi:10.1002/sim.5471 · Cited by 772

How Does Your Cortex Grow?

Raznahan, A., Shaw, P., Lalonde, F., Stockman, M., Wallace, G. L., Greenstein, D., Clasen, L., Gogtay, N., & Giedd, J. N. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0054-11.2011 · Cited by 712

Violating the normality assumption may be the lesser of two evils

Knief, U., & Forstmeier, W. (2021) · Behavior Research Methods · doi:10.3758/s13428-021-01587-5 · Cited by 654

Evolutionary history and the effect of biodiversity on plant productivity

Cadotte, M. W., Cardinale, B. J., & Oakley, T. H. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805962105 · Cited by 653

On multi-level modeling of data from repeated measures designs: a tutorial

Quené, H., & van den Bergh, H. (2004) · Speech Communication · doi:10.1016/j.specom.2004.02.004 · Cited by 642

Biodiversity, Ecosystem Functioning, and Human Wellbeing: An Ecological and Economic Perspective

(2009) · doi:10.1093/acprof:oso/9780199547951.001.0001 · Cited by 608

General stabilizing effects of plant diversity on grassland productivity through population asynchrony and overyielding

Hector, A., Hautier, Y., Saner, P., Wacker, L., Bagchi, R., Joshi, J., Scherer-Lorenzen, M., Spehn, E. M., Bazeley-White, E., Weilenmann, M., et al. (2010) · Ecology · doi:10.1890/09-1162.1 · Cited by 591

Acute, subacute and long-term subjective effects of psilocybin in healthy humans: a pooled analysis of experimental studies

Studerus, E., Kometer, M., Hasler, F., & Vollenweider, F. X. (2011) · Journal of Psychopharmacology · doi:10.1177/0269881110382466 · Cited by 532

Examples of mixed-effects modeling with crossed random effects and with binomial data

Quené, H., & van den Bergh, H. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2008.02.002 · Cited by 534

Sertraline or mirtazapine for depression in dementia (HTA-SADD): a randomised, multicentre, double-blind, placebo-controlled trial

Banerjee, S., Hellier, J., Dewey, M., Romeo, R., Ballard, C., Baldwin, R., Bentham, P., Fox, C., Holmes, C., Katona, C., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60830-1 · Cited by 532

Clinical efficacy of computerised cognitive-behavioural therapy for anxiety and depression in primary care: Randomised controlled trial

Proudfoot, J., Ryden, C., Everitt, B., Shapiro, D. A., Goldberg, D., Mann, A., Tylee, A., Marks, I., & Gray, J. A. (2004) · British Journal of Psychiatry · doi:10.1192/bjp.185.1.46 · Cited by 516

Lentiviral haemopoietic stem-cell gene therapy in early-onset metachromatic leukodystrophy: an ad-hoc analysis of a non-randomised, open-label, phase 1/2 trial

Sessa, M., Lorioli, L., Fumagalli, F., Acquati, S., Redaelli, D., Baldoli, C., Canale, S., Lopez, I. D., Morena, F., Calabria, A., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)30374-9 · Cited by 502

Life-history traits predict species responses to habitat area and isolation: A cross-continental synthesis

Öckinger, E., Schweiger, O., Crist, T. O., Debinski, D. M., Krauss, J., Kuussaari, M., Petersen, J. D., Pöyry, J., Settele, J., Summerville, K. S., et al. (2010) · Ecology Letters · doi:10.1111/j.1461-0248.2010.01487.x · Cited by 476

Developmental changes in the structure of the social brain in late childhood and adolescence

Mills, K. L., Lalonde, F., Clasen, L. S., Giedd, J. N., & Blakemore, S.-J. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss113 · Cited by 452

Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations

Shek, D. T. L., & Ma, C. M. S. (2011) · The Scientific World JOURNAL · doi:10.1100/tsw.2011.2 · Cited by 425

Nested by design: model fitting and interpretation in a mixed model era

Schielzeth, H., & Nakagawa, S. (2013) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00251.x · Cited by 394

Traditional versus integrative behavioral couple therapy for significantly and chronically distressed married couples.

Christensen, A., Atkins, D. C., Berns, S., Wheeler, J., Baucom, D. H., & Simpson, L. E. (2004) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.72.2.176 · Cited by 380

Soccer Heading Is Associated with White Matter Microstructural and Cognitive Abnormalities

Lipton, M. L., Kim, N., Zimmerman, M. E., Kim, M., Stewart, W. F., Branch, C. A., & Lipton, R. B. (2013) · Radiology · doi:10.1148/radiol.13130545 · Cited by 376

The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis?

Lazic, S. E. (2010) · BMC Neuroscience · doi:10.1186/1471-2202-11-5 · Cited by 381

One-stage dose–response meta-analysis for aggregated data

Crippa, A., Discacciati, A., Bottai, M., Spiegelman, D., & Orsini, N. (2019) · Statistical Methods in Medical Research · doi:10.1177/0962280218773122 · Cited by 365

Precise Gene Editing Preserves Hematopoietic Stem Cell Function following Transient p53-Mediated DNA Damage Response

Schiroli, G., Conti, A., Ferrari, S., della Volpe, L., Jacob, A., Albano, L., Beretta, S., Calabria, A., Vavassori, V., Gasparini, P., et al. (2019) · Cell Stem Cell · doi:10.1016/j.stem.2019.02.019 · Cited by 342

Intestinal Microbiota in Healthy Adults: Temporal Analysis Reveals Individual and Common Core and Relation to Intestinal Symptoms

Jalanka-Tuovinen, J., Salonen, A., Nikkilä, J., Immonen, O., Kekkonen, R., Lahti, L., Palva, A., & de Vos, W. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023035 · Cited by 340

Dream: powerful differential expression analysis for repeated measures designs

Hoffman, G. E., & Roussos, P. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btaa687 · Cited by 319

Design and analysis of clinical trials with clustering effects due to treatment

Roberts, C., & Roberts, S. A. (2005) · Clinical Trials · doi:10.1191/1740774505cn076oa · Cited by 299

How self‐generated thought shapes mood–the relation between mind‐wandering and mood depends on the socio‐temporal content of thoughts

Ruby, F. J. M., Smallwood, J., Engen, H., & Singer, T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077554 · Cited by 275

A large-scale forest fragmentation experiment: the Stability of Altered Forest Ecosystems Project

Ewers, R. M., Didham, R. K., Fahrig, L., Ferraz, G., Hector, A., Holt, R. D., Kapos, V., Reynolds, G., Sinun, W., Snaddon, J. L., et al. (2011) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2011.0049 · Cited by 265

Longitudinally mapping the influence of sex and androgen signaling on the dynamics of human cortical maturation in adolescence

Raznahan, A., Lee, Y., Stidd, R., Long, R., Greenstein, D., Clasen, L., Addington, A., Gogtay, N., Rapoport, J. L., & Giedd, J. N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006025107 · Cited by 278

Structural plasticity of the social brain: Differential change after socio-affective and cognitive mental training

Valk, S. L., Bernhardt, B. C., Trautwein, F.-M., Böckler, A., Kanske, P., Guizard, N., Collins, D. L., & Singer, T. (2017) · Science Advances · doi:10.1126/sciadv.1700489 · Cited by 264

Banking sleep: realization of benefits during subsequent sleep restriction and recovery

Rupp, T. L., Wesensten, N. J., Bliese, P. D., & Balkin, T. J. (2009) · Sleep · doi:10.1093/sleep/32.3.311 · Cited by 270

Triangulating the Neural, Psychological, and Economic Bases of Guilt Aversion

Chang, L. J., Smith, A., Dufwenberg, M., & Sanfey, A. G. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.056 · Cited by 260

Scale and uncertainty in modeled soil organic carbon stock changes for US croplands using a process‐based model

OGLE, S. M., BREIDT, F. J., EASTER, M., WILLIAMS, S., KILLIAN, K., & PAUSTIAN, K. (2010) · Global Change Biology · doi:10.1111/j.1365-2486.2009.01951.x · Cited by 245

The use of thyroid function tests in the diagnosis of hypopituitarism: definition and evaluation of the TSH Index

Jostel, A., Ryder, W. D. J., & Shalet, S. M. (2009) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2009.03534.x · Cited by 238

Diversity has stronger top‐down than bottom‐up effects on decomposition

Srivastava, D. S., Cardinale, B. J., Downing, A. L., Duffy, J. E., Jouseau, C., Sankaran, M., & Wright, J. P. (2009) · Ecology · doi:10.1890/08-0439.1 · Cited by 235

How to boost positive interpretations? A Meta-Analysis of the effectiveness of cognitive bias modification for interpretation

Menne-Lothmann, C., Viechtbauer, W., Höhn, P., Kasanova, Z., Haller, S. P., Drukker, M., van Os, J., Wichers, M., & Lau, J. Y. F. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100925 · Cited by 235

A Quantitative Framework to Evaluate Modeling of Cortical Development by Neural Stem Cells

Stein, J. L., de la Torre-Ubieta, L., Tian, Y., Parikshak, N. N., Hernández, I. A., Marchetto, M. C., Baker, D. K., Lu, D., Hinman, C. R., Lowe, J. K., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.035 · Cited by 201

Tolerant food sharing and reciprocity is precluded by despotism among bonobos but not chimpanzees

Jaeggi, A. V., Stevens, J. M. G., & Van Schaik, C. P. (2010) · American Journal of Physical Anthropology · doi:10.1002/ajpa.21288 · Cited by 205

Causal evidence for frontal cortex organization for perceptual decision making

Rahnev, D., Nee, D. E., Riddle, J., Larson, A. S., & D’Esposito, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1522551113 · Cited by 200

Comparison of data analysis strategies for intent-to-treat analysis in pre-test-post-test designs with substantial dropout rates.

Salim, A., Mackinnon, A., Christensen, H., & Griffiths, K. (2008) · Psychiatry Research · doi:10.1016/j.psychres.2007.08.005 · Cited by 194

Review of recent methodological developments in group-randomized trials: part 2—analysis

Turner, E. L., Prague, M., Gallis, J. A., Li, F., & Murray, D. M. (2017) · American Journal of Public Health · doi:10.2105/ajph.2017.303707 · Cited by 195

Estimating long‐term multivariate progression from short‐term data

Donohue, M. C., Jacqmin‐Gadda, H., Le Goff, M., Thomas, R. G., Raman, R., Gamst, A. C., Beckett, L. A., Jack, C. R., Weiner, M. W., Dartigues, J., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.10.003 · Cited by 197

Breathing‐Based Meditation Decreases Posttraumatic Stress Disorder Symptoms in U.S. Military Veterans: A Randomized Controlled Longitudinal Study

Seppälä, E. M., Nitschke, J. B., Tudorascu, D. L., Hayes, A., Goldstein, M. R., Nguyen, D. T. H., Perlman, D., & Davidson, R. J. (2014) · Journal of Traumatic Stress · doi:10.1002/jts.21936 · Cited by 186

A general biodiversity–function relationship is mediated by trophic level

O'Connor, M. I., Gonzalez, A., Byrnes, J. E. K., Cardinale, B. J., Duffy, J. E., Gamfeldt, L., Griffin, J. N., Hooper, D., Hungate, B. A., Paquette, A., et al. (2017) · Oikos · doi:10.1111/oik.03652 · Cited by 173

Synchronization Can Influence Trust Following Virtual Interaction

Launay, J., Dean, R. T., & Bailes, F. (2013) · Experimental Psychology · doi:10.1027/1618-3169/a000173 · Cited by 184

The impact of multisensory integration and perceptual load in virtual reality settings on performance, workload and presence

Marucci, M., Di Flumeri, G., Borghini, G., Sciaraffa, N., Scandola, M., Pavone, E. F., Babiloni, F., Betti, V., & Aricò, P. (2021) · Scientific Reports · doi:10.1038/s41598-021-84196-8 · Cited by 170

Multiple imputation of missing repeated outcome measurements did not add to linear mixed-effects models

Peters, S. A. E., Bots, M. L., den Ruijter, H. M., Palmer, M. K., Grobbee, D. E., Crouse, J. R., O’Leary, D. H., Evans, G. W., Raichlen, J. S., Moons, K. G. M., et al. (2012) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2011.11.012 · Cited by 165

Diarrhoea-predominant irritable bowel syndromedistinguishable by 16S rRNA gene phylotype quantifcation

Lyra, A., Rinttilä, T., Nikkilä, J., Krogius-Kurikka, L., Kajander, K., Malinen, E., Mättö, J., Mäkelä, L., & Palva, A. (2009) · World Journal of Gastroenterology · doi:10.3748/wjg.15.5936 · Cited by 160

Maternal separation with early weaning: A novel mouse model of early life neglect

George, E. D., Bordner, K. A., Elwafi, H. M., & Simen, A. A. (2010) · BMC Neuroscience · doi:10.1186/1471-2202-11-123 · Cited by 163

The opportunity cost of time modulates cognitive effort

Otto, A. R., & Daw, N. D. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.05.006 · Cited by 138

Macrophage arginase-1 controls bacterial growth and pathology in hypoxic tuberculosis granulomas

Duque-Correa, M. A., Kühl, A. A., Rodriguez, P. C., Zedler, U., Schommer-Leitner, S., Rao, M., Weiner, J., Hurwitz, R., Qualls, J. E., Kosmiadi, G. A., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1408839111 · Cited by 146

pH effects of the addition of three biochars to acidic Indonesian mineral soils

Martinsen, V, Alling, V, Nurida, N., Mulder, J., Hale, S., Ritz, C., Rutherford, D., Heikens, A., Breedveld, G., & Cornelissen, G. (2015) · Soil Science and Plant Nutrition · doi:10.1080/00380768.2015.1052985 · Cited by 153

Impact of protein pulse feeding on lean mass in malnourished and at-risk hospitalized elderly patients: a randomized controlled trial

Bouillanne, O., Curis, E., Hamon-Vilcot, B., Nicolis, I., Chrétien, P., Schauer, N., Vincent, J.-P., Cynober, L., & Aussel, C. (2013) · Clinical Nutrition · doi:10.1016/j.clnu.2012.08.015 · Cited by 152

Nonparametric bootstrapping for hierarchical data

Ren, S., Lai, H., Tong, W., Aminzadeh, M., Hou, X., & Lai, S. (2010) · Journal of Applied Statistics · doi:10.1080/02664760903046102 · Cited by 148

A gene-based model to simulate soybean development and yield responses to environment

Messina, C. D., Jones, J. W., Boote, K. J., & Vallejos, C. E. (2006) · Crop Science · doi:10.2135/cropsci2005.04-0372 · Cited by 145

WILLOW ON YELLOWSTONE'S NORTHERN RANGE: EVIDENCE FOR A TROPHIC CASCADE?

Beyer, H. L., Merrill, E. H., Varley, N., & Boyce, M. S. (2007) · Ecological Applications · doi:10.1890/06-1254.1 · Cited by 142

Determining clinically meaningful decline in preclinical Alzheimer disease

Insel, P. S., Weiner, M., Mackin, R. S., Mormino, E., Lim, Y. Y., Stomrud, E., Palmqvist, S., Masters, C. L., Maruff, P. T., Hansson, O., et al. (2019) · Neurology · doi:10.1212/wnl.0000000000007831 · Cited by 128

Quantitative Trait Loci Controlling Light and Hormone Response in Two Accessions of Arabidopsis thaliana

Borevitz, J. O., Maloof, J. N., Lutes, J., Dabi, T., Redfern, J. L., Trainer, G. T., Werner, J. D., Asami, T., Berry, C. C., Weigel, D., et al. (2002) · Genetics · doi:10.1093/genetics/160.2.683 · Cited by 128

A pilot randomized controlled trial of mindfulness-based stress reduction for caregivers of family members with dementia.

Brown, K. W., Coogle, C. L., & Wegelin, J. (2016) · Aging & Mental Health · doi:10.1080/13607863.2015.1065790 · Cited by 126

Motivating Employees to Explore Collaboration Technology in Team Contexts1

Maruping, L. M., & Magni, M. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.1.01 · Cited by 126

Mapping the Development of the Basal Ganglia in Children With Attention-Deficit/Hyperactivity Disorder

Shaw, P., De Rossi, P., Watson, B., Wharton, A., Greenstein, D., Raznahan, A., Sharp, W., Lerch, J. P., & Chakravarty, M. M. (2014) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2014.05.003 · Cited by 126

MiR‐205 silences MED1 in hypoxic primary human trophoblasts

Mouillet, J., Chu, T., Nelson, D. M., Mishima, T., & Sadovsky, Y. (2010) · The FASEB Journal · doi:10.1096/fj.09-149724 · Cited by 125

Genome-wide pharmacogenomic study of neurocognition as an indicator of antipsychotic treatment response in schizophrenia

McClay, J. L., Adkins, D. E., Åberg, K., Bukszár, J., Khachane, A. N., Keefe, R. S. E., Perkins, D. O., McEvoy, J. P., Stroup, T. S., Vann, R. E., et al. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.193 · Cited by 124

Cognitive capacity limitations and Need for Cognition differentially predict reward-induced cognitive effort expenditure

Sandra, D. A., & Otto, A. R. (2018) · Cognition · doi:10.1016/j.cognition.2017.12.004 · Cited by 107

DNA methylation links prenatal smoking exposure to later life health outcomes in offspring

Wiklund, P., Karhunen, V., Richmond, R. C., Parmar, P., Rodriguez, A., De Silva, M., Wielscher, M., Rezwan, F. I., Richardson, T. G., Veijola, J., et al. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0683-4 · Cited by 120

An error model for protein quantification

Kreutz, C., Rodriguez, M. M. B., Maiwald, T., Seidl, M., Blum, H. E., Mohr, L., & Timmer, J. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm397 · Cited by 107

Infidelity and Behavioral Couple Therapy: Optimism in the Face of Betrayal.

Atkins, D. C., Eldridge, K. A., Baucom, D. H., & Christensen, A. (2005) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.73.1.144 · Cited by 120

Human respiratory uptake of chloroform and haloketones during showering

Xu, X., & Weisel, C. P. (2005) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/sj.jea.7500374 · Cited by 101

Dose finding—a challenge in statistics.

Bretz, F., Hsu, J., Pinheiro, J., & Liu, Y. (2008) · Biometrical Journal · doi:10.1002/bimj.200810438 · Cited by 101

Benefits of higher resistance-training volume are related to ribosome biogenesis

Hammarström, D., Øfsteng, S., Koll, L., Hanestadhaugen, M., Hollan, I., Apró, W., Whist, J. E., Blomstrand, E., Rønnestad, B. R., & Ellefsen, S. (2020) · The Journal of Physiology · doi:10.1113/jp278455 · Cited by 99

The effect of organic and conventional management on the yield and quality of wheat grown in a long-term field trial

Bilsborrow, P., Cooper, J., Tétard-Jones, C., Średnicka-Tober, D., Barański, M., Eyre, M., Schmidt, C., Shotton, P., Volakakis, N., Cakmak, I., et al. (2013) · European Journal of Agronomy · doi:10.1016/j.eja.2013.06.003 · Cited by 97

Characterizing properties and drivers of long distance movements by elephants (Loxodonta africana) in the Gourma, Mali

Wall, J., Wittemyer, G., Klinkenberg, B., LeMay, V., & Douglas-Hamilton, I. (2013) · Biological Conservation · doi:10.1016/j.biocon.2012.07.019 · Cited by 96

Childhood sexual abuse and abuse-specific attributions of blame over 6 years following discovery

Feiring, C., & Cleland, C. (2007) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2007.03.020 · Cited by 93

Does population density and neighborhood deprivation predict schizophrenia? A nationwide Swedish family-based study of 2.4 million individuals

Sariaslan, A., Larsson, H., D’Onofrio, B., Långström, N., Fazel, S., & Lichtenstein, P. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu105 · Cited by 95

Effects of land cover on ecosystem services in Tanzania: A spatial assessment of soil organic carbon

Winowiecki, L., Vågen, T.-G., & Huising, J. (2016) · Geoderma · doi:10.1016/j.geoderma.2015.03.010 · Cited by 92

Adding monounsaturated fatty acids to a dietary portfolio of cholesterol-lowering foods in hypercholesterolemia

Jenkins, D. J. A., Chiavaroli, L., Wong, J. M. W., Kendall, C., Lewis, G. F., Vidgen, E., Connelly, P. W., Leiter, L. A., Josse, R. G., & Lamarche, B. (2010) · Canadian Medical Association Journal · doi:10.1503/cmaj.092128 · Cited by 92

Biodiversity as spatial insurance: the effects of habitat fragmentation and dispersal on ecosystem functioning

Gonzalez, A., Mouquet, N., & Loreau, M. (2009) · Biodiversity, Ecosystem Functioning, and Human Wellbeing · doi:10.1093/acprof:oso/9780199547951.003.0010 · Cited by 92

Fire severity effects on soil carbon and nutrients and microbial processes in a Siberian larch forest

Ludwig, S. M., Alexander, H. D., Kielland, K., Mann, P. J., Natali, S. M., & Ruess, R. W. (2018) · Global Change Biology · doi:10.1111/gcb.14455 · Cited by 90

Mutation rate plasticity in rifampicin resistance depends on Escherichia coli cell-cell interactions.

Krašovec, R., Belavkin, R. V., Aston, J. A. D., Channon, A., Aston, E., Rash, B. M., Kadirvel, M., Forbes, S., & Knight, C. G. (2014) · Nature Communications · doi:10.1038/ncomms4742 · Cited by 85

Stress in School. Some Empirical Hints on the Circadian Cortisol Rhythm of Children in Outdoor and Indoor Classes

Dettweiler, U., Becker, C., Auestad, B. H., Simon, P., & Kirsch, P. (2017) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph14050475 · Cited by 84

Estimating the Integrated Information Measure Phi from High-Density Electroencephalography during States of Consciousness in Humans

Kim, H., Hudetz, A. G., Lee, J., Mashour, G. A., Lee, U., & the ReCCognition Study Group (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00042 · Cited by 82

Deliberate practice predicts performance over time in adolescent chess players and drop‐outs: A linear mixed models analysis

de Bruin, A. B. H., Smits, N., Rikers, R. M. J. P., & Schmidt, H. G. (2008) · British Journal of Psychology · doi:10.1348/000712608x295631 · Cited by 81

Maternal separation with early weaning: a rodent model providing novel insights into neglect associated developmental deficits

Carlyle, B. C., Duque, A., Kitchen, R. R., Bordner, K. A., Coman, D., Doolittle, E., Papademetris, X., Hyder, F., Taylor, J. R., & Simen, A. A. (2012) · Development and Psychopathology · doi:10.1017/s095457941200079x · Cited by 80

Pilot Randomized Clinical Trial of an SSRI vs Bupropion: Effects on Suicidal Behavior, Ideation, and Mood in Major Depression

Grunebaum, M. F., Ellis, S. P., Duan, N., Burke, A. K., Oquendo, M. A., & John Mann, J. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2011.247 · Cited by 79

Unifying structural priming effects on syntactic choices and timing of sentence generation

Segaert, K., Wheeldon, L., & Hagoort, P. (2016) · Journal of Memory and Language · doi:10.1016/j.jml.2016.03.011 · Cited by 78

Effect of Organic and Conventional Crop Rotation, Fertilization, and Crop Protection Practices on Metal Contents in Wheat (Triticum aestivum)

Cooper, J., Sanderson, R., Cakmak, I., Ozturk, L., Shotton, P., Carmichael, A., Haghighi, R. S., Tetard-Jones, C., Volakakis, N., Eyre, M., et al. (2011) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf104389m · Cited by 72