A prospective exploration of the urban exposome in relation to headache in the Dutch population-based Occupational and environmental health cohort study (AMIGO) by Eugenio Traini, Lützen Portengen, Haykanush Ohanyan, Robert van Vorstenbosch, Roel Vermeulen, Anke Huss

Subjects: Get full text

Effectiveness of oseltamivir treatment on clinical failure in hospitalized patients with lower respiratory tract infection by Timothy L. Wiemken, Stephen P. Furmanek, Ruth M. Carrico, Paula Peyrani, Daniel Hoft, Alicia M. Fry, Julio A. Ramirez

Subjects: Get full text

Evaluating company bankruptcies using causal forests by Wanderson Rocha Bittencourt, Pedro H. M. Albuquerque

Subjects: “…causal forest…”
Get full text

Proof‐of‐concept of a data‐driven approach to estimate the associations of comorbid mental and physical disorders with global health‐related disability by Ymkje Anna deVries, Jordi Alonso, Somnath Chatterji, Peter deJonge, Joran Lokkerbol, John J. McGrath, Maria V. Petukhova, Nancy A. Sampson, Erik Sverdrup, Daniel V. Vigo, Stefan Wager, Ali Al‐Hamzawi, Guilherme Borges, Ronny Bruffaerts, Brendan Bunting, Stephanie Chardoul, Elie G. Karam, Andrzej Kiejna, Viviane Kovess‐Masfety, Fernando Navarro‐Mateu, Akin Ojagbemi, Marina Piazza, José Posada‐Villa, Carmen Sasu, Kate M. Scott, Hisateru Tachimori, Margreet Ten Have, Yolanda Torres, Maria Carmen Viana, Manuel Zamparini, Zahari Zarkov, Ronald C. Kessler, World Mental Health Survey Collaborators

Subjects: “…causal forest…”
Get full text

Performance metrics for models designed to predict treatment effect by C. C. H. M. Maas, D. M. Kent, M. C. Hughes, R. Dekker, H. F. Lingsma, D. van Klaveren

Subjects: Get full text

Post-traumatic stress and future substance use outcomes: leveraging antecedent factors to stratify risk by Henri M. Garrison-Desany, Jacquelyn L. Meyers, Sarah D. Linnstaedt, Stacey L. House, Francesca L. Beaudoin, Francesca L. Beaudoin, Xinming An, Donglin Zeng, Thomas C. Neylan, Gari D. Clifford, Gari D. Clifford, Tanja Jovanovic, Laura T. Germine, Laura T. Germine, Laura T. Germine, Kenneth A. Bollen, Kenneth A. Bollen, Scott L. Rauch, Scott L. Rauch, Scott L. Rauch, John P. Haran, Alan B. Storrow, Christopher Lewandowski, Paul I. Musey, Phyllis L. Hendry, Sophia Sheikh, Christopher W. Jones, Brittany E. Punches, Robert A. Swor, Nina T. Gentile, Lauren A. Hudak, Jose L. Pascual, Jose L. Pascual, Jose L. Pascual, Mark J. Seamon, Mark J. Seamon, Erica Harris, Claire Pearson, David A. Peak, Robert M. Domeier, Niels K. Rathlev, Brian J. O’Neil, Paulina Sergot, Leon D. Sanchez, Leon D. Sanchez, Steven E. Bruce, Jutta Joormann, Steven E. Harte, Steven E. Harte, Samuel A. McLean, Samuel A. McLean, Karestan C. Koenen, Christy A. Denckla

Subjects: Get full text

Combining randomized field experiments with observational satellite data to assess the benefits of crop rotations on yields by Dan M Kluger, Art B Owen, David B Lobell

Subjects: “…causal forest…”
Get full text

Assessing the properties of patient-specific treatment effect estimates from causal forest algorithms under essential heterogeneity by John M. Brooks, Cole G. Chapman, Brian K. Chen, Sarah B. Floyd, Neset Hikmet

Subjects: Get full text

Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine by Ashwini Venkatasubramaniam, Bilal A. Mateen, Beverley M. Shields, Andrew T. Hattersley, Angus G. Jones, Sebastian J. Vollmer, John M. Dennis

Subjects: Get full text

When do Risky Substitutions Improve Match Outcomes? Interpreting Causal Machine Learning Models for Insights by Ozden Gur Ali, Emrah Yilmaz

Subjects: Get full text

Estimating the Heterogeneous Causal Effects of Parent–Child Relationships among Chinese Children with Oppositional Defiant Symptoms: A Machine Learning Approach by Haiyan Zhou, Fengkai Han, Ruoxi Chen, Jiajin Huang, Jianhui Chen, Xiuyun Lin

Subjects: Get full text

Using Machine Learning to Predict Retrofit Effects for a Commercial Building Portfolio by Yujie Xu, Vivian Loftness, Edson Severnini

Subjects: Get full text

Causal Forest Machine Learning Analysis of Parkinson’s Disease in Resting-State Functional Magnetic Resonance Imaging by Gabriel Solana-Lavalle, Michael D. Cusimano, Thomas Steeves, Roberto Rosas-Romero, Pascal N. Tyrrell

Subjects: Get full text

Assessing the ability of an instrumental variable causal forest algorithm to personalize treatment evidence using observational data: the case of early surgery for shoulder fractur... by John M. Brooks, Cole G. Chapman, Sarah B. Floyd, Brian K. Chen, Charles A. Thigpen, Michael Kissenberth

Subjects: “…Instrumental Variable Causal Forest Algorithm…”
Get full text

A Double machine learning trend model for citizen science data by Daniel Fink, Alison Johnston, Matt Strimas‐Mackey, Tom Auer, Wesley M. Hochachka, Shawn Ligocki, Lauren Oldham Jaromczyk, Orin Robinson, Chris Wood, Steve Kelling, Amanda D. Rodewald

Subjects: “…Causal Forests…”
Get full text

Further adoption of conservation tillage can increase maize yields in the western US Corn Belt by Trevor W Cambron, Jillian M Deines, Bruno Lopez, Rinkal Patel, Sang-Zi Liang, David B Lobell

Subjects: Get full text