Miguel A Hernán, Sonia Hernández-Díaz, James M Robins. Epidemiology 2004
Times Cited: 1445
Times Cited: 1445
Times Cited
Times Co-cited
Similarity
Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.
Miguel A Hernán, James M Robins. Am J Epidemiol 2016
Miguel A Hernán, James M Robins. Am J Epidemiol 2016
10
9
Illustrating bias due to conditioning on a collider.
Stephen R Cole, Robert W Platt, Enrique F Schisterman, Haitao Chu, Daniel Westreich, David Richardson, Charles Poole. Int J Epidemiol 2010
Stephen R Cole, Robert W Platt, Enrique F Schisterman, Haitao Chu, Daniel Westreich, David Richardson, Charles Poole. Int J Epidemiol 2010
8
Constructing inverse probability weights for marginal structural models.
Stephen R Cole, Miguel A Hernán. Am J Epidemiol 2008
Stephen R Cole, Miguel A Hernán. Am J Epidemiol 2008
8
Overadjustment bias and unnecessary adjustment in epidemiologic studies.
Enrique F Schisterman, Stephen R Cole, Robert W Platt. Epidemiology 2009
Enrique F Schisterman, Stephen R Cole, Robert W Platt. Epidemiology 2009
7
Marginal structural models and causal inference in epidemiology.
J M Robins, M A Hernán, B Brumback. Epidemiology 2000
J M Robins, M A Hernán, B Brumback. Epidemiology 2000
6
The birth weight "paradox" uncovered?
Sonia Hernández-Díaz, Enrique F Schisterman, Miguel A Hernán. Am J Epidemiol 2006
Sonia Hernández-Díaz, Enrique F Schisterman, Miguel A Hernán. Am J Epidemiol 2006
6
Collider bias undermines our understanding of COVID-19 disease risk and severity.
Gareth J Griffith, Tim T Morris, Matthew J Tudball, Annie Herbert, Giulia Mancano, Lindsey Pike, Gemma C Sharp, Jonathan Sterne, Tom M Palmer, George Davey Smith,[...]. Nat Commun 2020
Gareth J Griffith, Tim T Morris, Matthew J Tudball, Annie Herbert, Giulia Mancano, Lindsey Pike, Gemma C Sharp, Jonathan Sterne, Tom M Palmer, George Davey Smith,[...]. Nat Commun 2020
6
Estimating causal effects from epidemiological data.
Miguel A Hernán, James M Robins. J Epidemiol Community Health 2006
Miguel A Hernán, James M Robins. J Epidemiol Community Health 2006
6
Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses.
Miguel A Hernán, Brian C Sauer, Sonia Hernández-Díaz, Robert Platt, Ian Shrier. J Clin Epidemiol 2016
Miguel A Hernán, Brian C Sauer, Sonia Hernández-Díaz, Robert Platt, Ian Shrier. J Clin Epidemiol 2016
5
Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology.
Miguel A Hernán, Sonia Hernández-Díaz, Martha M Werler, Allen A Mitchell. Am J Epidemiol 2002
Miguel A Hernán, Sonia Hernández-Díaz, Martha M Werler, Allen A Mitchell. Am J Epidemiol 2002
5
Selection Bias Due to Loss to Follow Up in Cohort Studies.
Chanelle J Howe, Stephen R Cole, Bryan Lau, Sonia Napravnik, Joseph J Eron. Epidemiology 2016
Chanelle J Howe, Stephen R Cole, Bryan Lau, Sonia Napravnik, Joseph J Eron. Epidemiology 2016
5
Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies.
Peter C Austin, Elizabeth A Stuart. Stat Med 2015
Peter C Austin, Elizabeth A Stuart. Stat Med 2015
5
The Danish Medical Birth Register.
Mette Bliddal, Anne Broe, Anton Pottegård, Jørn Olsen, Jens Langhoff-Roos. Eur J Epidemiol 2018
Mette Bliddal, Anne Broe, Anton Pottegård, Jørn Olsen, Jens Langhoff-Roos. Eur J Epidemiol 2018
5
Good practices for quantitative bias analysis.
Timothy L Lash, Matthew P Fox, Richard F MacLehose, George Maldonado, Lawrence C McCandless, Sander Greenland. Int J Epidemiol 2014
Timothy L Lash, Matthew P Fox, Richard F MacLehose, George Maldonado, Lawrence C McCandless, Sander Greenland. Int J Epidemiol 2014
4
Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease.
Miguel A Hernán, Alvaro Alonso, Roger Logan, Francine Grodstein, Karin B Michels, Walter C Willett, Joann E Manson, James M Robins. Epidemiology 2008
Miguel A Hernán, Alvaro Alonso, Roger Logan, Francine Grodstein, Karin B Michels, Walter C Willett, Joann E Manson, James M Robins. Epidemiology 2008
4
Invited Commentary: Causal diagrams and measurement bias.
Miguel A Hernán, Stephen R Cole. Am J Epidemiol 2009
Miguel A Hernán, Stephen R Cole. Am J Epidemiol 2009
4
The Danish National Birth Cohort--its background, structure and aim.
J Olsen, M Melbye, S F Olsen, T I Sørensen, P Aaby, A M Andersen, D Taxbøl, K D Hansen, M Juhl, T B Schow,[...]. Scand J Public Health 2001
J Olsen, M Melbye, S F Olsen, T I Sørensen, P Aaby, A M Andersen, D Taxbøl, K D Hansen, M Juhl, T B Schow,[...]. Scand J Public Health 2001
4
Fetal Programming of Semen Quality (FEPOS) Cohort - A DNBC Male-Offspring Cohort.
Katia Keglberg Hærvig, Jens Peter Bonde, Cecilia Høst Ramlau-Hansen, Gunnar Toft, Karin Sørig Hougaard, Ina Olmer Specht, Aleksander Giwercman, Anne-Marie Nybo Andersen, Jørn Olsen, Christian Lindh,[...]. Clin Epidemiol 2020
Katia Keglberg Hærvig, Jens Peter Bonde, Cecilia Høst Ramlau-Hansen, Gunnar Toft, Karin Sørig Hougaard, Ina Olmer Specht, Aleksander Giwercman, Anne-Marie Nybo Andersen, Jørn Olsen, Christian Lindh,[...]. Clin Epidemiol 2020
50
4
Sensitivity Analysis in Observational Research: Introducing the E-Value.
Tyler J VanderWeele, Peng Ding. Ann Intern Med 2017
Tyler J VanderWeele, Peng Ding. Ann Intern Med 2017
4
Problem of immortal time bias in cohort studies: example using statins for preventing progression of diabetes.
Linda E Lévesque, James A Hanley, Abbas Kezouh, Samy Suissa. BMJ 2010
Linda E Lévesque, James A Hanley, Abbas Kezouh, Samy Suissa. BMJ 2010
3
Immortal time bias in observational studies of drug effects in pregnancy.
Ilan Matok, Laurent Azoulay, Hui Yin, Samy Suissa. Birth Defects Res A Clin Mol Teratol 2014
Ilan Matok, Laurent Azoulay, Hui Yin, Samy Suissa. Birth Defects Res A Clin Mol Teratol 2014
8
Methods for time-varying exposure related problems in pharmacoepidemiology: An overview.
Laura Pazzagli, Marie Linder, Mingliang Zhang, Emese Vago, Paul Stang, David Myers, Morten Andersen, Shahram Bahmanyar. Pharmacoepidemiol Drug Saf 2018
Laura Pazzagli, Marie Linder, Mingliang Zhang, Emese Vago, Paul Stang, David Myers, Morten Andersen, Shahram Bahmanyar. Pharmacoepidemiol Drug Saf 2018
7
Bias from conditioning on live birth in pregnancy cohorts: an illustration based on neurodevelopment in children after prenatal exposure to organic pollutants.
Zeyan Liew, Jørn Olsen, Xin Cui, Beate Ritz, Onyebuchi A Arah. Int J Epidemiol 2015
Zeyan Liew, Jørn Olsen, Xin Cui, Beate Ritz, Onyebuchi A Arah. Int J Epidemiol 2015
3
Methodological considerations when analysing and interpreting real-world data.
Til Stürmer, Tiansheng Wang, Yvonne M Golightly, Alex Keil, Jennifer L Lund, Michele Jonsson Funk. Rheumatology (Oxford) 2020
Til Stürmer, Tiansheng Wang, Yvonne M Golightly, Alex Keil, Jennifer L Lund, Michele Jonsson Funk. Rheumatology (Oxford) 2020
13
Time-related biases in pharmacoepidemiology.
Samy Suissa, Sophie Dell'Aniello. Pharmacoepidemiol Drug Saf 2020
Samy Suissa, Sophie Dell'Aniello. Pharmacoepidemiol Drug Saf 2020
12
Immortal time bias in observational studies of drug effects.
Samy Suissa. Pharmacoepidemiol Drug Saf 2007
Samy Suissa. Pharmacoepidemiol Drug Saf 2007
3
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression.
Jack Bowden, George Davey Smith, Stephen Burgess. Int J Epidemiol 2015
Jack Bowden, George Davey Smith, Stephen Burgess. Int J Epidemiol 2015
3
Influence of puberty timing on adiposity and cardiometabolic traits: A Mendelian randomisation study.
Joshua A Bell, David Carslake, Kaitlin H Wade, Rebecca C Richmond, Ryan J Langdon, Emma E Vincent, Michael V Holmes, Nicholas J Timpson, George Davey Smith. PLoS Med 2018
Joshua A Bell, David Carslake, Kaitlin H Wade, Rebecca C Richmond, Ryan J Langdon, Emma E Vincent, Michael V Holmes, Nicholas J Timpson, George Davey Smith. PLoS Med 2018
8
Causal directed acyclic graphs and the direction of unmeasured confounding bias.
Tyler J VanderWeele, Miguel A Hernán, James M Robins. Epidemiology 2008
Tyler J VanderWeele, Miguel A Hernán, James M Robins. Epidemiology 2008
3
Causal Diagrams: Pitfalls and Tips.
Etsuji Suzuki, Tomohiro Shinozaki, Eiji Yamamoto. J Epidemiol 2020
Etsuji Suzuki, Tomohiro Shinozaki, Eiji Yamamoto. J Epidemiol 2020
25
How to investigate and adjust for selection bias in cohort studies.
Ellen A Nohr, Zeyan Liew. Acta Obstet Gynecol Scand 2018
Ellen A Nohr, Zeyan Liew. Acta Obstet Gynecol Scand 2018
3
Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros.
Linda Valeri, Tyler J Vanderweele. Psychol Methods 2013
Linda Valeri, Tyler J Vanderweele. Psychol Methods 2013
3
Accounting for bias due to selective attrition: the example of smoking and cognitive decline.
Jennifer Weuve, Eric J Tchetgen Tchetgen, M Maria Glymour, Todd L Beck, Neelum T Aggarwal, Robert S Wilson, Denis A Evans, Carlos F Mendes de Leon. Epidemiology 2012
Jennifer Weuve, Eric J Tchetgen Tchetgen, M Maria Glymour, Todd L Beck, Neelum T Aggarwal, Robert S Wilson, Denis A Evans, Carlos F Mendes de Leon. Epidemiology 2012
3
SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor.
Markus Hoffmann, Hannah Kleine-Weber, Simon Schroeder, Nadine Krüger, Tanja Herrler, Sandra Erichsen, Tobias S Schiergens, Georg Herrler, Nai-Huei Wu, Andreas Nitsche,[...]. Cell 2020
Markus Hoffmann, Hannah Kleine-Weber, Simon Schroeder, Nadine Krüger, Tanja Herrler, Sandra Erichsen, Tobias S Schiergens, Georg Herrler, Nai-Huei Wu, Andreas Nitsche,[...]. Cell 2020
3
An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.
Peter C Austin. Multivariate Behav Res 2011
Peter C Austin. Multivariate Behav Res 2011
3
Reducing bias through directed acyclic graphs.
Ian Shrier, Robert W Platt. BMC Med Res Methodol 2008
Ian Shrier, Robert W Platt. BMC Med Res Methodol 2008
3
Identifiability, exchangeability, and epidemiological confounding.
S Greenland, J M Robins. Int J Epidemiol 1986
S Greenland, J M Robins. Int J Epidemiol 1986
3
3
A definition of causal effect for epidemiological research.
M A Hernán. J Epidemiol Community Health 2004
M A Hernán. J Epidemiol Community Health 2004
3
The consistency statement in causal inference: a definition or an assumption?
Stephen R Cole, Constantine E Frangakis. Epidemiology 2009
Stephen R Cole, Constantine E Frangakis. Epidemiology 2009
3
Male Reproductive Disorders and Fertility Trends: Influences of Environment and Genetic Susceptibility.
Niels E Skakkebaek, Ewa Rajpert-De Meyts, Germaine M Buck Louis, Jorma Toppari, Anna-Maria Andersson, Michael L Eisenberg, Tina Kold Jensen, Niels Jørgensen, Shanna H Swan, Katherine J Sapra,[...]. Physiol Rev 2016
Niels E Skakkebaek, Ewa Rajpert-De Meyts, Germaine M Buck Louis, Jorma Toppari, Anna-Maria Andersson, Michael L Eisenberg, Tina Kold Jensen, Niels Jørgensen, Shanna H Swan, Katherine J Sapra,[...]. Physiol Rev 2016
3
Implications of M bias in epidemiologic studies: a simulation study.
Wei Liu, M Alan Brookhart, Sebastian Schneeweiss, Xiaojuan Mi, Soko Setoguchi. Am J Epidemiol 2012
Wei Liu, M Alan Brookhart, Sebastian Schneeweiss, Xiaojuan Mi, Soko Setoguchi. Am J Epidemiol 2012
5
3
Duration and timing of exposure to neighborhood poverty and the risk of adolescent parenthood.
Geoffrey T Wodtke. Demography 2013
Geoffrey T Wodtke. Demography 2013
5
Secular trends in nosocomial bloodstream infections: antibiotic-resistant bacteria increase the total burden of infection.
H S M Ammerlaan, S Harbarth, A G M Buiting, D W Crook, F Fitzpatrick, H Hanberger, L A Herwaldt, P H J van Keulen, J A J W Kluytmans, A Kola,[...]. Clin Infect Dis 2013
H S M Ammerlaan, S Harbarth, A G M Buiting, D W Crook, F Fitzpatrick, H Hanberger, L A Herwaldt, P H J van Keulen, J A J W Kluytmans, A Kola,[...]. Clin Infect Dis 2013
2
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.