Applied Linear Statistical Models

Predictors of Referral for Specialized Psychosocial Oncology Care in Patients With Metastatic Cancer: The Contributions of Age, Distress, and Marital Status

Ellis, J., Lin, J., Walsh, A., Lo, C., Shepherd, F. A., Moore, M., Li, M., Gagliese, L., Zimmermann, C., & Rodin, G. (2009) · Journal of Clinical Oncology · doi:10.1200/jco.2007.15.4864 · Cited by 128

Nabilone as an Adjunctive to Gabapentin for Multiple Sclerosis-Induced Neuropathic Pain: A Randomized Controlled Trial

Turcotte, D., Doupe, M., Torabi, M., Gomori, A., Ethans, K., Esfahani, F., Galloway, K., & Namaka, M. (2015) · Pain Medicine · doi:10.1111/pme.12569 · Cited by 124

The impact of religion on men's blood pressure

Larson, D. B., Koenig, H. G., Kaplan, B. H., Greenberg, R. S., Logue, E., & Tyroler, H. A. (1989) · Journal of Religion & Health · doi:10.1007/bf00986065 · Cited by 119

Effect of lignin linkages with other plant cell wall components on in vitro and in vivo neutral detergent fiber digestibility and rate of digestion of grass forages

Raffrenato, E., Fievisohn, R., Cotanch, K. W., Grant, R. J., Chase, L. E., & Van Amburgh, M. E. (2017) · Journal of Dairy Science · doi:10.3168/jds.2016-12364 · Cited by 114

Determining synchrony between behavioral time series: An application of surrogate data generation for establishing falsifiable null-hypotheses

Moulder, R. G., Boker, S. M., Ramseyer, F., & Tschacher, W. (2018) · Psychological Methods · doi:10.1037/met0000172 · Cited by 108

Statin therapy modulates thickness and inflammatory profile of human epicardial adipose tissue

Parisi, V., Petraglia, L., D'Esposito, V., Cabaro, S., Rengo, G., Caruso, A., Grimaldi, M. G., Baldascino, F., De Bellis, A., Vitale, D., et al. (2019) · International Journal of Cardiology · doi:10.1016/j.ijcard.2018.06.106 · Cited by 114

Two Worlds of Trust for Potential E-Commerce Users: Humans as Cognitive Misers

Liu, B. Q., & Goodhue, D. L. (2012) · Information Systems Research · doi:10.1287/isre.1120.0424 · Cited by 111

Prescribed fire effects on bark beetle activity and tree mortality in southwestern ponderosa pine forests

Breece, C. R., Kolb, T. E., Dickson, B. G., McMillin, J. D., & Clancy, K. M. (2008) · Forest Ecology and Management · doi:10.1016/j.foreco.2007.08.026 · Cited by 109

Customization and real time information access in integrated eBusiness supply chain relationships

Klein, R. (2007) · Journal of Operations Management · doi:10.1016/j.jom.2007.03.001 · Cited by 108

The Effect of Marriage, Family, and Religious Ties on African American Suicide Ideology

Stack, S., & Wasserman, I. (1995) · Journal of Marriage and the Family · doi:10.2307/353829 · Cited by 107

A taxometric investigation of the latent structure of worry: dimensionality and associations with depression, anxiety, and stress

Olatunji, B. O., Broman-Fulks, J. J., Bergman, S. M., Green, B. A., & Zlomke, K. R. (2010) · Behavior Therapy · doi:10.1016/j.beth.2009.03.001 · Cited by 105

Depression, faith-based coping, and short-term postoperative global functioning in adult and older patients undergoing cardiac surgery

Ai, A. L., Peterson, C., Bolling, S. F., & Rodgers, W. (2006) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2005.06.082 · Cited by 103

Metabolic and Endocrine Effects of a Polyunsaturated Fatty Acid-Rich Diet in Polycystic Ovary Syndrome

Kasim-Karakas, S. E., Almario, R. U., Gregory, L., Wong, R., Todd, H., & Lasley, B. L. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030666 · Cited by 99

Predictors of Dietary Change and Maintenance in the Women’s Health Initiative Dietary Modification Trial

Tinker, L. F., Rosal, M. C., Young, A. F., Perri, M. G., Patterson, R. E., Van Horn, L., Assaf, A. R., Bowen, D. J., Ockene, J., Hays, J., et al. (2007) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2007.04.010 · Cited by 95

Prayer and reverence in naturalistic, aesthetic, and socio-moral contexts predicted fewer complications following coronary artery bypass

Ai, A. L., Wink, P., Tice, T. N., Bolling, S. F., & Shearer, M. (2009) · Journal of Behavioral Medicine · doi:10.1007/s10865-009-9228-1 · Cited by 95

Pedometer reliability, validity and daily activity targets among 10- to 15-year-old boys

Jago, R., Watson, K., Baranowski, T., Zakeri, I., Yoo, S., Baranowski, J., & Conry, K. (2006) · Journal of Sports Sciences · doi:10.1080/02640410500141661 · Cited by 94

Daily pain variations among patients with hand, hip, and knee osteoarthritis

Allen, K. D., Coffman, C. J., Golightly, Y. M., Stechuchak, K. M., & Keefe, F. J. (2009) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2009.03.021 · Cited by 92

Mice Lacking the Chemokine Receptor CCR1 Show Increased Susceptibility to Toxoplasma gondii Infection

Khan, I. A., Murphy, P. M., Casciotti, L., Schwartzman, J. D., Collins, J., Gao, J.-L., & Yeaman, G. R. (2001) · The Journal of Immunology · doi:10.4049/jimmunol.166.3.1930 · Cited by 88

Time perception differences in children with and without ADHD

Meaux, J. B., & Chelonis, J. J. (2003) · Journal of Pediatric Health Care · doi:10.1067/mph.2003.26 · Cited by 87

Effects of a locus affecting floral pigmentation in Ipomoea purpurea on female fitness components.

Rausher, M. D., & Fry, J. D. (1993) · Genetics · doi:10.1093/genetics/134.4.1237 · Cited by 83

The Effect of Intensive Diabetes Treatment on Resting Heart Rate in Type 1 Diabetes

Paterson, A. D., Rutledge, B. N., Cleary, P. A., Lachin, J. M., Crow, R. S., & for the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Research Group (2007) · Diabetes Care · doi:10.2337/dc06-1441 · Cited by 81

Nurse practitioners as primary care providers with their own patient panels and organizational structures: A cross-sectional study

Poghosyan, L., Liu, J., & Norful, A. A. (2017) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2017.05.004 · Cited by 74

Of rowing boats, ocean liners and tests of the anova homogeneity of variance assumption

McGuinness, K. A. (2002) · Austral Ecology · doi:10.1046/j.1442-9993.2002.01233.x · Cited by 78

Tutorial on use of intraclass correlation coefficients for assessing intertest reliability and its application in functional near-infrared spectroscopy–based brain imaging

Li, L., Zeng, L., Lin, Z.-J., Cazzell, M., & Liu, H. (2015) · Journal of Biomedical Optics · doi:10.1117/1.jbo.20.5.050801 · Cited by 78

Extramuscular Myofascial Force Transmission: Experiments and Finite Element Modeling

Yucesoy, C. A., Koopman, B. H. F. J. M., Baan, G. C., Grootenboer, H. J., & Huijing, P. A. (2003) · Archives of Physiology and Biochemistry · doi:10.3109/13813450312331337630 · Cited by 78

Striatal responses to negative monetary outcomes differ between temperamentally inhibited and non-inhibited adolescents

Helfinstein, S. M., Benson, B., Perez-Edgar, K., Bar-Haim, Y., Detloff, A., Pine, D. S., Fox, N. A., & Ernst, M. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.12.015 · Cited by 75

Reputation and Supportive Behavior: Moderating Impacts of Foreignness, Industry and Local Exposure

Newburry, W. (2010) · Corporate Reputation Review · doi:10.1057/crr.2009.27 · Cited by 72

The association between body mass and health care expenditures

Heithoff, K. A., Cuffel, B. J., Kennedy, S., & Peters, J. (1997) · Clinical Therapeutics · doi:10.1016/s0149-2918(97)80104-x · Cited by 70

Fluvial response a decade after wildfire in the northern Yellowstone ecosystem: a spatially explicit analysis

Legleiter, C. J., Lawrence, R. L., Fonstad, M. A., Andrew Marcus, W., & Aspinall, R. (2003) · Geomorphology · doi:10.1016/s0169-555x(02)00332-x · Cited by 69

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

Neonatal CSF vasopressin concentration predicts later medical record diagnoses of autism spectrum disorder

Oztan, O., Garner, J. P., Constantino, J. N., & Parker, K. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1919050117 · Cited by 65

Effect of internet use and electronic game-play on academic performance of Australian children

Islam, M. I., Biswas, R. K., & Khanam, R. (2020) · Scientific Reports · doi:10.1038/s41598-020-78916-9 · Cited by 63

Using fecal glucocorticoids for stress assessment in mourning doves

Washburn, B. E., Millspaugh, J. J., Schulz, J. H., Jones, S. B., & Mong, T. (2003) · The Condor · doi:10.1093/condor/105.4.696 · Cited by 61

Day-to-day variation in energy and nutrient intake: evidence of individuality in eating behaviour?

Tarasuk, V., & Beaton, G. H. (1992) · Appetite · doi:10.1016/0195-6663(92)90209-o · Cited by 55

Impact of helminth infections and nutritional constraints on the small intestine microbiota

Cattadori, I. M., Sebastian, A., Hao, H., Katani, R., Albert, I., Eilertson, K. E., Kapur, V., Pathak, A., & Mitchell, S. (2016) · PLOS ONE · doi:10.1371/journal.pone.0159770 · Cited by 52

Social adjustment among taiwanese children with symptoms of ADHD, ODD, and ADHD comorbid with ODD

Tseng, W.-L., Kawabata, Y., & Gau, S. S.-F. (2011) · Child Psychiatry & Human Development · doi:10.1007/s10578-010-0204-3 · Cited by 47

Interaction between COMT Val158Met polymorphism and childhood adversity affects reward processing in adulthood

Boecker-Schlier, R., Holz, N. E., Buchmann, A. F., Blomeyer, D., Plichta, M. M., Jennen-Steinmetz, C., Wolf, I., Baumeister, S., Treutlein, J., Rietschel, M., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.006 · Cited by 42

Complex interactions shaping aspen dynamics in the Greater Yellowstone Ecosystem

Brown, K., Hansen, A. J., Keane, R. E., & Graumlich, L. J. (2006) · Landscape Ecology · doi:10.1007/s10980-005-6190-3 · Cited by 43

Mind wandering in children: Examining task-unrelated thoughts in computerized tasks and a classroom lesson, and the association with different executive functions

Keulers, E. H. H., & Jonkman, L. M. (2019) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2018.11.013 · Cited by 43

Songbird response to increased willow (Salix spp.) growth in Yellowstone's northern range

Baril, L. M., Hansen, A. J., Renkin, R., & Lawrence, R. (2011) · Ecological Applications · doi:10.1890/10-0169.1 · Cited by 40

Evaluation of selective attention in patients with misophonia

Silva, F. E. D., & Sanchez, T. G. (2019) · Brazilian Journal of Otorhinolaryngology · doi:10.1016/j.bjorl.2018.02.005 · Cited by 39

Timing-Dependent Regulation of Evoked Spiking in Nucleus Accumbens Neurons by Integration of Limbic and Prefrontal Cortical Inputs

McGinty, V. B., & Grace, A. A. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91162.2008 · Cited by 39

Quality assessment of motion rendition in video coding

van den Branden Lambrecht, C. J., Costantini, D. M., Sicuranza, G. L., & Kunt, M. (1999) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/76.780365 · Cited by 38

The moderated effects of video feedback for social anxiety disorder

Rodebaugh, T. L., Heimberg, R. G., Schultz, L. T., & Blackmore, M. (2010) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2010.04.007 · Cited by 38

Partial migration or just habitat selection? Seasonal movements of roe deer in an Alpine population

Gaudry, W., Saïd, S., Gaillard, J.-M., Chevrier, T., Loison, A., Maillard, D., & Bonenfant, C. (2015) · Journal of Mammalogy · doi:10.1093/jmammal/gyv055 · Cited by 38

The Mediating Role of Emotion Dysregulation in the Relations Between Childhood Trauma History and Adult Attachment and Borderline Personality Disorder Features: A Study of Italian Nonclinical Participants

Fossati, A., Gratz, K. L., Somma, A., Maffei, C., & Borroni, S. (2016) · Journal of Personality Disorders · doi:10.1521/pedi_2015_29_222 · Cited by 33

Industrial Big Data Analytics: Challenges and Opportunities

Al-Abassi, A., Karimipour, H., HaddadPajouh, H., Dehghantanha, A., & Parizi, R. M. (2020) · Handbook of Big Data Privacy · doi:10.1007/978-3-030-38557-6_3 · Cited by 32

Chefs move to schools. A pilot examination of how chef-created dishes can increase school lunch participation and fruit and vegetable intake

Just, D. R., Wansink, B., & Hanks, A. S. (2014) · Appetite · doi:10.1016/j.appet.2014.08.033 · Cited by 30

Kinin-dependent hypersensitivity reactions in hemodialysis: metabolic and genetic factors

Molinaro, G., Duan, Q. L., Chagnon, M., Moreau, M. E., Simon, P., Clavel, P., Lavaud, S., Boileau, G., Rouleau, G. A., Lepage, Y., et al. (2006) · Kidney International · doi:10.1038/sj.ki.5001873 · Cited by 29

Influência da suplementação de creatina na capacidade funcional de pacientes com Insuficiência Cardíaca

Carvalho, A. P. P. F., Rassi, S., Fontana, K. E., Correa, K. D. S., & Feitosa, R. H. F. (2012) · Arquivos Brasileiros de Cardiologia · doi:10.1590/s0066-782x2012005000056 · Cited by 25

The use of the Internet in Hong Kong: Manufacturing vs. service

Cheng, C. H., Cheung, W., & Chang, M. K. (2002) · International Journal of Production Economics · doi:10.1016/s0925-5273(01)00179-7 · Cited by 25

An accurate, precise, and affordable light emitting diode spectrophotometer for drinking water and other testing with limited resources

Prairie, M. W., Frisbie, S. H., Rao, K. K., Saksri, A. H., Parbat, S., & Mitchell, E. J. (2020) · PLOS ONE · doi:10.1371/journal.pone.0226761 · Cited by 24

Food Insecurity, Socioeconomic Status, and HIV-Related Risk Behavior Among Women in Farming Households in Tanzania

McCoy, S. I., Ralph, L. J., Njau, P. F., Msolla, M. M., & Padian, N. S. (2014) · AIDS and Behavior · doi:10.1007/s10461-013-0629-3 · Cited by 22

Investigating the Impact of Selection Bias in Dose-Response Analyses of Preventive Interventions

Conduct Problems Prevention Research Group*, McGowan, H. M., Nix, R. L., Murphy, S. A., & Bierman, K. L. (2010) · Prevention Science · doi:10.1007/s11121-010-0169-2 · Cited by 19

Indirect Vision Driving with Fixed Flat Panel Displays for Near Unity, Wide, and Extended Fields of Camera View

Smyth, C. C. (2000) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120004403624 · Cited by 11

Performance Outcomes of Test-Driven Development: An Experimental Investigation

Texas A&M University Texarkana, U., Bhadauria, V., Mahapatra, R., University of Texas Arlington, U., Nerur, S., & University of Texas Arlington, U. (2020) · Journal of the Association for Information Systems · doi:10.17705/1jais.00628 · Cited by 9