A citation-based method for searching scientific literature

Mark J van der Laan, Eric C Polley, Alan E Hubbard. Stat Appl Genet Mol Biol 2007
Times Cited: 535







List of co-cited articles
226 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity




Regularization Paths for Generalized Linear Models via Coordinate Descent.
Jerome Friedman, Trevor Hastie, Rob Tibshirani. J Stat Softw 2010
8

Stacked generalization: an introduction to super learning.
Ashley I Naimi, Laura B Balzer. Eur J Epidemiol 2018
42
16


Diagnosing and responding to violations in the positivity assumption.
Maya L Petersen, Kristin E Porter, Susan Gruber, Yue Wang, Mark J van der Laan. Stat Methods Med Res 2012
203
6

Doubly robust nonparametric inference on the average treatment effect.
D Benkeser, M Carone, M J Van Der Laan, P B Gilbert. Biometrika 2017
32
15

Recursive partitioning for heterogeneous causal effects.
Susan Athey, Guido Imbens. Proc Natl Acad Sci U S A 2016
96
5


Cohort Profile: The Health Outcomes and Measures of the Environment (HOME) study.
Joseph M Braun, Geetika Kalloo, Aimin Chen, Kim N Dietrich, Stacey Liddy-Hicks, Samantha Morgan, Yingying Xu, Kimberly Yolton, Bruce P Lanphear. Int J Epidemiol 2017
96
5

Constructing inverse probability weights for marginal structural models.
Stephen R Cole, Miguel A Hernán. Am J Epidemiol 2008
5



Super-Learning of an Optimal Dynamic Treatment Rule.
Alexander R Luedtke, Mark J van der Laan. Int J Biostat 2016
24
20

Improving propensity score weighting using machine learning.
Brian K Lee, Justin Lessler, Elizabeth A Stuart. Stat Med 2010
307
5

Implementation of G-computation on a simulated data set: demonstration of a causal inference technique.
Jonathan M Snowden, Sherri Rose, Kathleen M Mortimer. Am J Epidemiol 2011
150
5

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.
Evangelia Christodoulou, Jie Ma, Gary S Collins, Ewout W Steyerberg, Jan Y Verbakel, Ben Van Calster. J Clin Epidemiol 2019
424
5

What is Machine Learning? A Primer for the Epidemiologist.
Qifang Bi, Katherine E Goodman, Joshua Kaminsky, Justin Lessler. Am J Epidemiol 2019
72
6

Machine Learning for Causal Inference: On the Use of Cross-fit Estimators.
Paul N Zivich, Alexander Breskin. Epidemiology 2021
14
35


Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.
Romain Pirracchio, Maya L Petersen, Marco Carone, Matthieu Resche Rigon, Sylvie Chevret, Mark J van der Laan. Lancet Respir Med 2015
136
4


Environmental chemicals in pregnant women in the United States: NHANES 2003-2004.
Tracey J Woodruff, Ami R Zota, Jackie M Schwartz. Environ Health Perspect 2011
573
4


Sensitivity Analysis in Observational Research: Introducing the E-Value.
Tyler J VanderWeele, Peng Ding. Ann Intern Med 2017
4

Using Super Learner Prediction Modeling to Improve High-dimensional Propensity Score Estimation.
Richard Wyss, Sebastian Schneeweiss, Mark van der Laan, Samuel D Lendle, Cheng Ju, Jessica M Franklin. Epidemiology 2018
31
12


You are smarter than you think: (super) machine learning in context.
Alexander P Keil, Jessie K Edwards. Eur J Epidemiol 2018
8
50

Marginal structural models and causal inference in epidemiology.
J M Robins, M A Hernán, B Brumback. Epidemiology 2000
4

Treatment Selection in Depression.
Zachary D Cohen, Robert J DeRubeis. Annu Rev Clin Psychol 2018
155
4


Targeted maximum likelihood estimation for a binary treatment: A tutorial.
Miguel Angel Luque-Fernandez, Michael Schomaker, Bernard Rachet, Mireille E Schnitzer. Stat Med 2018
30
13

The Highly Adaptive Lasso Estimator.
David Benkeser, Mark van der Laan. Proc Int Conf Data Sci Adv Anal 2016
18
16




Phenotypic dichotomy following developmental exposure to perfluorooctanoic acid (PFOA) in female CD-1 mice: Low doses induce elevated serum leptin and insulin, and overweight in mid-life.
Erin P Hines, Sally S White, Jason P Stanko, Eugene A Gibbs-Flournoy, Christopher Lau, Suzanne E Fenton. Mol Cell Endocrinol 2009
172
3

Improved selectivity for the analysis of maternal serum and cord serum for polyfluoroalkyl chemicals.
Kayoko Kato, Brian J Basden, Larry L Needham, Antonia M Calafat. J Chromatogr A 2011
114
3

Prenatal perfluoroalkyl substance exposure and child adiposity at 8 years of age: The HOME study.
Joseph M Braun, Aimin Chen, Megan E Romano, Antonia M Calafat, Glenys M Webster, Kimberly Yolton, Bruce P Lanphear. Obesity (Silver Spring) 2016
119
3

Prenatal exposure to perfluorooctanoate and risk of overweight at 20 years of age: a prospective cohort study.
Thorhallur I Halldorsson, Dorte Rytter, Line Småstuen Haug, Bodil Hammer Bech, Inge Danielsen, Georg Becher, Tine Brink Henriksen, Sjurdur F Olsen. Environ Health Perspect 2012
226
3

Improving propensity score estimators' robustness to model misspecification using super learner.
Romain Pirracchio, Maya L Petersen, Mark van der Laan. Am J Epidemiol 2015
64
4

A structural approach to selection bias.
Miguel A Hernán, Sonia Hernández-Díaz, James M Robins. Epidemiology 2004
3

An increase in the incidence of gestational diabetes mellitus: Northern California, 1991-2000.
Assiamira Ferrara, Henry S Kahn, Charles P Quesenberry, Candice Riley, Monique M Hedderson. Obstet Gynecol 2004
289
3

Challenges in Obtaining Valid Causal Effect Estimates with Machine Learning Algorithms.
Ashley I Naimi, Alan E Mishler, Edward H Kennedy. Am J Epidemiol 2021
8
37

The parametric g-formula for time-to-event data: intuition and a worked example.
Alexander P Keil, Jessie K Edwards, David B Richardson, Ashley I Naimi, Stephen R Cole. Epidemiology 2014
82
3

Variable selection for propensity score models.
M Alan Brookhart, Sebastian Schneeweiss, Kenneth J Rothman, Robert J Glynn, Jerry Avorn, Til Stürmer. Am J Epidemiol 2006
3


Targeted maximum likelihood estimation in safety analysis.
Samuel D Lendle, Bruce Fireman, Mark J van der Laan. J Clin Epidemiol 2013
14
21

Effect decomposition in the presence of an exposure-induced mediator-outcome confounder.
Tyler J Vanderweele, Stijn Vansteelandt, James M Robins. Epidemiology 2014
143
3



Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.