| Targeting of low-dose CT screening according to the risk of lung-cancer death SA Kovalchik, M Tammemagi, CD Berg, NE Caporaso, TL Riley, M Korch, ... New England Journal of Medicine 369 (3), 245-254, 2013 | 453 | 2013 |
| Aging and decision making: A comparison between neurologically healthy elderly and young individuals S Kovalchik, CF Camerer, DM Grether, CR Plott, JM Allman Journal of Economic Behavior & Organization 58 (1), 79-94, 2005 | 255 | 2005 |
| Development and validation of risk models to select ever-smokers for CT lung cancer screening HA Katki, SA Kovalchik, CD Berg, LC Cheung, AK Chaturvedi Jama 315 (21), 2300-2311, 2016 | 154 | 2016 |
| Monoclonal gammopathy of undetermined significance and risk of lymphoid and myeloid malignancies: 728 cases followed up to 30 years in Sweden I Turesson, SA Kovalchik, RM Pfeiffer, SY Kristinsson, LR Goldin, ... Blood 123 (3), 338-345, 2014 | 97 | 2014 |
| Validity of adult lifetime self-reported body weight S Kovalchik Public health nutrition 12 (8), 1072-1077, 2009 | 91 | 2009 |
| Propensity score analysis with survey weighted data G Ridgeway, SA Kovalchik, BA Griffin, MU Kabeto Journal of causal inference 3 (2), 237-249, 2015 | 90 | 2015 |
| Absolute risk prediction of second primary thyroid cancer among 5-year survivors of childhood cancer SA Kovalchik, CM Ronckers, LHS Veiga, AJ Sigurdson, PD Inskip, ... Journal of clinical oncology 31 (1), 119, 2013 | 51 | 2013 |
| Implications of nine risk prediction models for selecting ever-smokers for computed tomography lung cancer screening HA Katki, SA Kovalchik, LC Petito, LC Cheung, E Jacobs, A Jemal, ... Annals of internal medicine 169 (1), 10-19, 2018 | 46 | 2018 |
| Evaluating molecular biomarkers for the early detection of lung cancer: when is a biomarker ready for clinical use? An official American Thoracic Society policy statement PJ Mazzone, CR Sears, DA Arenberg, M Gaga, MK Gould, PP Massion, ... American journal of respiratory and critical care medicine 196 (7), e15, 2017 | 46 | 2017 |
| Searching for the GOAT of tennis win prediction SA Kovalchik Journal of Quantitative Analysis in Sports 12 (3), 127-138, 2016 | 43 | 2016 |
| Facilitators and barriers of drop-in center use among homeless youth ER Pedersen, JS Tucker, SA Kovalchik Journal of Adolescent Health 59 (2), 144-153, 2016 | 39 | 2016 |
| Ecological momentary assessment of the association between exposure to alcohol advertising and early adolescents' beliefs about alcohol SC Martino, SA Kovalchik, RL Collins, KM Becker, WG Shadel, ... Journal of Adolescent Health 58 (1), 85-91, 2016 | 35 | 2016 |
| Alcohol advertising exposure among middle school–age youth: An assessment across all media and venues RL Collins, SC Martino, SA Kovalchik, KM Becker, WG Shadel, ... Journal of studies on alcohol and drugs 77 (3), 384-392, 2016 | 34 | 2016 |
| Time to smoke first morning cigarette and lung cancer in a case–control study F Gu, S Wacholder, S Kovalchik, OA Panagiotou, C Reyes-Guzman, ... JNCI: Journal of the National Cancer Institute 106 (6), 2014 | 32 | 2014 |
| Is running associated with a lower risk of all-cause, cardiovascular and cancer mortality, and is the more the better? A systematic review and meta-analysis Z Pedisic, N Shrestha, S Kovalchik, E Stamatakis, N Liangruenrom, ... British journal of sports medicine 54 (15), 898-905, 2020 | 31 | 2020 |
| Comparing matchplay characteristics and physical demands of junior and professional tennis athletes in the era of big data SA Kovalchik, M Reid Journal of sports science & medicine 16 (4), 489, 2017 | 31 | 2017 |
| Injury epidemiology of tennis players at the 2011–2016 Australian Open Grand Slam DT Gescheit, SJ Cormack, R Duffield, S Kovalchik, TO Wood, M Omizzolo, ... British journal of sports medicine 51 (17), 1289-1294, 2017 | 28 | 2017 |
| Charting the development of sport expertise: challenges and opportunities D Farrow, M Reid, T Buszard, S Kovalchik International Review of Sport and Exercise Psychology 11 (1), 238-257, 2018 | 25 | 2018 |
| Measuring reversal learning: Introducing the Variable Iowa Gambling Task in a study of young and old normals S Kovalchik, J Allman Cognition & Emotion 20 (5), 714-728, 2006 | 23 | 2006 |
| A general binomial regression model to estimate standardized risk differences from binary response data SA Kovalchik, R Varadhan, B Fetterman, NE Poitras, S Wacholder, ... Statistics in medicine 32 (5), 808-821, 2013 | 22 | 2013 |
Colin CamererRobert Kirby Professor of Behavioral EconomicsVerified email at hss.caltech.edu
