Lauren Maxwell

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All published works

Action	Title	Year	Authors
+ PDF Chat	“I found out about Zika virus after she was born.” Women’s experiences of risk communication during the Zika virus epidemic in Brazil, Colombia, and Puerto Rico	2024	María Consuelo Miranda Claudia M Hormiga Ester Paiva Souto Edna Acosta‐Pérez Gustavo Corrêa Matta Marcela Daza Gabriela Lopes Gama Camila Pimentel Marcela Mercado Angélica María Amado Niño
+ PDF Chat	Pooled Cohort Profile: ReCoDID Consortium’s Harmonized Acute Febrile Illness Arbovirus Meta-Cohort	2024	Gustavo Gómez Heather Hufstedler Carlos Montenegro Morales Yannik Roell Anyela Lozano‐Parra Adriana Tami Tereza Magalhães Ernesto T. A. Marques Ángel Balmaseda Guilherme Amaral Calvet
+	Application of causal inference methods in individual-participant data meta-analyses in medicine: addressing data handling and reporting gaps with new proposed reporting guidelines	2024	Heather Hufstedler Nicole Mauer Edmund Yeboah Sinclair Carr Sabahat Rahman Alexander M. Danzer Thomas P. A. Debray Valentijn M. T. de Jong Harlan Campbell Paul Gustafson
+	Cohort Profile: ReCoDID Consortium’s Harmonized Acute Febrile Illness Arbovirus Meta-Cohort (Preprint)	2023	Gustavo Gómez Heather Hufstedler Carlos Montenegro Morales Yannik Roell Anyela Lozano‐Parra Adriana Tami Tereza Magalhães Ernesto T. A. Marques Ángel Balmaseda Guilherme Amaral Calvet
+ PDF Chat	How to plan and manage an individual participant data meta‐analysis. An illustrative toolkit	2023	Lauren Maxwell Priya Shreedhar Mabel Carabalí Brooke Levis
+ PDF Chat	Application of Causal Inference Methods to Pooled Longitudinal Non- Randomized Studies: A Methodological Systematic Review	2023	Heather Hufstedler Nicole Mauer Edmund Yeboah Sinclair Carr Sabahat Rahman Alexander M. Danzer Thomas P. A. Debray Valentijn M. T. de Jong Harlan Campbell Paul Gustafson
+ PDF Chat	Heterogeneity of Zika virus exposure and outcome ascertainment across cohorts of pregnant women, their infants and their children: a metadata survey	2022	Mabel Carabalí Lauren Maxwell Brooke Levis Priya Shreedhar
+	Adjusting for misclassification of an exposure in an individual participant data meta‐analysis	2022	Valentijn M. T. de Jong Harlan Campbell Lauren Maxwell Thomas Jaenisch Paul Gustafson Thomas P. A. Debray
+ PDF Chat	Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic	2022	Harlan Campbell Perry de Valpine Lauren Maxwell Valentijn M. T. de Jong Thomas P. A. Debray Thomas Jaenisch Paul Gustafson
+	Systematic Review Reveals Lack of Causal Methodology Applied to Pooled Longitudinal Observational Infectious Disease Studies	2022	Heather Hufstedler Sabahat Rahman Alexander M. Danzer Hannah Goymann Valentijn M. T. de Jong Harlan Campbell Paul Gustafson Thomas P. A. Debray Thomas Jaenisch Lauren Maxwell
+ PDF Chat	Current trends in the application of causal inference methods to pooled longitudinal non-randomised data: a protocol for a methodological systematic review	2021	Edmund Yeboah Nicole Mauer Heather Hufstedler Sinclair Carr Ellicott C. Matthay Lauren Maxwell Sabahat Rahman Thomas P. A. Debray Valentijn M. T. de Jong Harlan Campbell
+ PDF Chat	Measurement error in <scp>meta‐analysis</scp> (<scp>MEMA</scp>)—A Bayesian framework for continuous outcome data subject to non‐differential measurement error	2021	Harlan Campbell Valentijn M. T. de Jong Lauren Maxwell Thomas Jaenisch Thomas P. A. Debray Paul Gustafson
+ PDF Chat	Current trends in the application of causal inference methods to pooled longitudinal observational infectious disease studies—A protocol for a methodological systematic review	2021	Heather Hufstedler Ellicott C. Matthay Sabahat Rahman Valentijn M. T. de Jong Harlan Campbell Paul Gustafson Thomas P. A. Debray Thomas Jaenisch Lauren Maxwell Till Bärnighausen
+	Adjusting for misclassification of an exposure in an individual participant data meta-analysis	2021	Valentijn M. T. de Jong Harlan Campbell Lauren Maxwell Thomas Jaenisch Paul Gustafson Thomas P. A. Debray
+	Measurement Error in Meta-Analysis (MEMA) -- a Bayesian framework for continuous outcome data	2020	Harlan Campbell Valentijn M. T. de Jong Lauren Maxwell Thomas P. A. Debray Thomas Jaenisch Paul Gustafson
+	Bayesian adjustment for preferential testing in estimating the COVID-19 infection fatality rate	2020	Harlan Campbell Valpine Pd Lauren Maxwell Jong VMd Thomas P. A. Debray Thomas Jänisch Paul Gustafson
+	Bayesian adjustment for preferential testing in estimating the COVID-19 infection fatality rate: Theory and methods	2020	Harlan Campbell Valpine Pd Lauren Maxwell Jong VMd Thomas P. A. Debray Thomas Jänisch Paul Gustafson
+	Bayesian adjustment for preferential testing in estimating the COVID-19 infection fatality rate	2020	Harlan Campbell Perry de Valpine Lauren Maxwell Valentijn de Jong Thomas P. A. Debray Thomas Jänisch Paul Gustafson

Common Coauthors

Coauthor	Papers Together
Thomas P. A. Debray	13
Paul Gustafson	13
Harlan Campbell	13
Thomas Jaenisch	11
Valentijn M. T. de Jong	10
Heather Hufstedler	7
Ellicott C. Matthay	5
Till Bärnighausen	5
Sabahat Rahman	5
Thomas Jänisch	4
Edmund Yeboah	3
Sinclair Carr	3
Alexander M. Danzer	3
Nicole Mauer	3
Carlos Montenegro Morales	2
Patrícia Brasil	2
Guilherme Amaral Calvet	2
Ángel Balmaseda	2
Mabel Carabalí	2
Jong VMd	2
Valpine Pd	2
Eva Harris	2
Ernesto T. A. Marques	2
Brooke Levis	2
Luis Villar	2
Priya Shreedhar	2
Yannik Roell	2
Tereza Magalhães	2
Perry de Valpine	2
Adriana Tami	2
Víctor Herrera	2
Anyela Lozano‐Parra	2
Gustavo Gómez	2
Angélica María Amado Niño	1
Gabriela Lopes Gama	1
Elena Marbán-Castro	1
Marcela Daza	1
Marcela Mercado	1
Camila Pimentel	1
Olivia C. Manders	1
Gustavo Corrêa Matta	1
Edna Acosta‐Pérez	1
María Consuelo Miranda	1
Hannah Goymann	1
Luz Marina Leegstra	1
Valentijn de Jong	1
Claudia M Hormiga	1
Ester Paiva Souto	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Individual participant data meta-analyses compared with meta-analyses based on aggregate data	2016	Catrin Tudur Smith Maura Marcucci Sarah J Nevitt Alfonso Iorio Maria Sudell Richard D. Riley Maroeska M. Rovers Paula Williamson	6
+ PDF Chat	Instrumental variable methods for causal inference	2014	Michael Baiocchi Jing Cheng Dylan S. Small	5
+	How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS	2005	Paul C. Lambert Alex J. Sutton Paul R. Burton Keith R. Abrams David R. Jones	5
+ PDF Chat	Application of causal inference methods in the analyses of randomised controlled trials: a systematic review	2018	Ruth Farmer Daphne Kounali A. Sarah Walker Jelena Savović Alison Richards Margaret May Deborah Ford	5
+ PDF Chat	Causal models adjusting for time-varying confounding—a systematic review of the literature	2018	Philip Clare Timothy Dobbins Richard P. Mattick	4
+	Four key challenges in infectious disease modelling using data from multiple sources	2014	Daniela De Angelis Anne M. Presanis Paul Birrell Gianpaolo Scalia Tomba Thomas House	3
+ PDF Chat	Measurement error is often neglected in medical literature: a systematic review	2018	Timo B. Brakenhoff Marian Mitroiu Ruth H. Keogh Karel G.M. Moons Rolf H. H. Groenwold Maarten van Smeden	3
+	Individual patient‐ versus group‐level data meta‐regressions for the investigation of treatment effect modifiers: ecological bias rears its ugly head	2002	Jesse A. Berlin Jill Santanna Christopher H. Schmid Lynda A. Szczech Harold I. Feldman	3
+ PDF Chat	Bayesian bivariate meta-analysis of correlated effects: Impact of the prior distributions on the between-study correlation, borrowing of strength, and joint inferences	2016	Danielle L. Burke Sylwia Bujkiewicz Richard D. Riley	3
+ PDF Chat	COVID-19: a need for real-time monitoring of weekly excess deaths	2020	David A. Leon Vladimir M. Shkolnikov Liam Smeeth Per Magnus Markéta Pechholdová Christopher I Jarvis	3
+ PDF Chat	Inference from Iterative Simulation Using Multiple Sequences	1992	Andrew Gelman Donald B. Rubin	3
+	On the Half-Cauchy Prior for a Global Scale Parameter	2012	Nicholas G. Polson James G. Scott	3
+ PDF Chat	Collaborative, pooled and harmonized study designs for epidemiologic research: challenges and opportunities	2018	Catherine R. Lesko Lisa P. Jacobson Keri N. Althoff Alison G. Abraham Stephen J. Gange Richard D. Moore Sharada P. Modur Bryan Lau	3
+	Sampling Methods for Wallenius' and Fisher's Noncentral Hypergeometric Distributions	2008	Agner Fog	3
+ PDF Chat	Using simulation studies to evaluate statistical methods	2019	Tim P. Morris Ian R. White Michael J. Crowther	3
+ PDF Chat	A Bayesian approach for correcting exposure misclassification in meta‐analysis	2018	Qinshu Lian James S. Hodges Richard F. MacLehose Haitao Chu	3
+	Estimating causal effects of treatments in randomized and nonrandomized studies.	1974	Donald B. Rubin	3
+ PDF Chat	Interval Estimation for Messy Observational Data	2009	Paul Gustafson Sander Greenland	3
+ PDF Chat	Communicating the Risk of Death from Novel Coronavirus Disease (COVID-19)	2020	T. Kobayashi Sung-mok Jung Natalie M. Linton Ryo Kinoshita Katsuma Hayashi Takeshi Miyama Asami Anzai Yichi Yang Baoyin Yuan Andrei R. Akhmetzhanov	3
+ PDF Chat	Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China	2020	Joseph T. Wu Kathy Leung Mary Bushman Nishant Kishore René Niehus Pablo M. De Salazar Benjamin J. Cowling Marc Lipsitch GM Leung	3
+	Bayesian Analysis of Tests with Unknown Specificity and Sensitivity	2020	Andrew Gelman Bob Carpenter	3
+	Partial Identification of Probability Distributions	2003	Charles F. Manski	3
+ PDF Chat	Individual Participant Data Meta-Analysis for a Binary Outcome: One-Stage or Two-Stage?	2013	Thomas P. A. Debray Karel G.M. Moons Ghada Abo-Zaid Hendrik Koffijberg Richard D. Riley	3
+	Multiple-Bias Modelling for Analysis of Observational Data	2005	Sander Greenland	3
+ PDF Chat	Adjusting for unmeasured confounding in nonrandomized longitudinal studies: a methodological review	2017	Adam Streeter Nan Lin Louise Crathorne Marcela Haasova Christopher Hyde David Melzer William Henley	3
+ PDF Chat	Systematic selection between age and household structure for models aimed at emerging epidemic predictions	2020	Lorenzo Pellis Simon Cauchemez Neil M. Ferguson Christophe Fraser	3
+	Marginal Structural Models and Causal Inference in Epidemiology	2000	James M. Robins Miguel A. Hernán Babette Brumback	3
+ PDF Chat	Handling time varying confounding in observational research	2017	Mohammad Alì Mansournia Mahyar Etminan Goodarz Danaei Jay S. Kaufman Gary S. Collins	3
+ PDF Chat	Multiple imputation by chained equations for systematically and sporadically missing multilevel data	2016	Matthieu Resche‐Rigon Ian R. White	3
+	Alternative causal inference methods in population health research: Evaluating tradeoffs and triangulating evidence	2019	Ellicott C. Matthay Erin Hagan Laura M. Gottlieb May Lynn Tan David Vlahov Nancy E. Adler M. Maria Glymour	3
+	Estimating the Global Infection Fatality Rate of COVID-19	2020	Richard E. Grewelle Giulio A. De Leo	3
+	ESTIMATING MULTIPLE REGRESSIONS IN <i>m</i> GROUPS: A CROSS‐VALIDATION STUDY	1972	Melvin R. Novick Paul H. Jackson Dorothy T. Thayer Nancy S. Cole	2
+	The Synthesis of Regression Slopes in Meta-Analysis	2007	Betsy Jane Becker Meng‐Jia Wu	2
+	Bayesian methods in meta-analysis and evidence synthesis	2001	Alex J. Sutton Keith R. Abrams	2
+ PDF Chat	Regression discontinuity designs are underutilized in medicine, epidemiology, and public health: a review of current and best practice	2015	Ellen Moscoe Jacob Bor Till Bärnighausen	2
+	Synthesis of linear regression coefficients by recovering the within‐study covariance matrix from summary statistics	2016	Daisuke Yoneoka Masayuki Henmi	2
+ PDF Chat	Bias Modelling in Evidence Synthesis	2008	Rebecca M. Turner David J. Spiegelhalter Gordon C. S. Smith Simon G. Thompson	2
+	Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments	2001	Miguel A. Hernán Babette Brumback James M. Robins	2
+	Commentary	2013	Sonja A. Swanson Miguel A. Hernán	2
+ PDF Chat	The limitations of randomized controlled trials in predicting effectiveness	2010	Nancy Cartwright Eileen Munro	2
+	On Using Bayesian Methods to Address Small Sample Problems	2016	Daniel McNeish	2
+ PDF Chat	Bayesian correction for covariate measurement error: A frequentist evaluation and comparison with regression calibration	2016	Jonathan Bartlett Ruth H. Keogh	2
+ PDF Chat	<i>Stan</i>: A Probabilistic Programming Language	2017	Bob Carpenter Andrew Gelman Matthew D. Hoffman Daniel C. Lee Ben Goodrich Michael Betancourt Marcus A. Brubaker Jiqiang Guo Peter Li Allen Riddell	2
+ PDF Chat	The Severity of Pandemic H1N1 Influenza in the United States, from April to July 2009: A Bayesian Analysis	2009	Anne M. Presanis Daniela De Angelis Angela Hagy Carrie Reed Steven Riley Ben S. Cooper Lyn Finelli Paul A. Biedrzycki Marc Lipsitch	2
+ PDF Chat	Bayesian Inference for Partially Identified Models	2010	Paul Gustafson	2
+	Multiple imputation for handling systematically missing confounders in meta‐analysis of individual participant data	2013	Matthieu Resche‐Rigon Ian R. White Jonathan Bartlett Sanne A. E. Peters Simon G. Thompson	2
+	Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data	2015	Paul Gustafson	2
+	How should meta‐regression analyses be undertaken and interpreted?	2002	Simon G. Thompson Julian P. T. Higgins	2
+ PDF Chat	Meta‐analysis of continuous outcomes combining individual patient data and aggregate data	2007	Richard D. Riley Paul C. Lambert Jan A. Staessen Ji‐Guang Wang François Gueyffier Lutgarde Thijs Florent Boutitie	2
+	Sample size importantly limits the usefulness of instrumental variable methods, depending on instrument strength and level of confounding	2014	Anna G. C. Boef Olaf M. Dekkers Jan P. Vandenbroucke Saskia le Cessie	2