Mark Kelson

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All published works

Action	Title	Year	Authors
+ PDF Chat	Causal and Associational Language in Observational Health Research: A Systematic Evaluation	2022	Noah Haber Sarah Wieten Julia M. Rohrer Onyebuchi A. Arah P. W. G. Tennant Elizabeth A. Stuart Eleanor J. Murray Sophie Pilleron Sze Tung Lam Emily Riederer
+ PDF Chat	Causal and Associational Language in Observational Health Research: A systematic evaluation	2021	Noah Haber Sarah Wieten Julia M. Rohrer Onyebuchi A. Arah P. W. G. Tennant Elizabeth A. Stuart Eleanor J. Murray Sophie Pilleron Sze Tung Lam Emily Riederer
+	Sample size calculation for a future trial	2020	Sharon Simpson Lynsay Matthews Juliana Pugmire Alex McConnachie Emma McIntosh Elinor Coulman Kathryn Hughes Mark Kelson Sarah Morgan‐Trimmer Simon Murphy

Common Coauthors

Coauthor	Papers Together
Alberto Antonietti	2
Camila Olarte Parra	2
Shashank Suresh	2
Sze Tung Lam	2
Matthew P. Fox	2
Taym Alsalti	2
Gideon Meyerowitz‐Katz	2
Onyebuchi A. Arah	2
Noah Haber	2
Talal S. Alshihayb	2
José Andrés Calvache	2
Ariadne Rivera‐Aguirre	2
Clémence Leyrat	2
Sebastián Peña	2
Daniel J. Dunleavy	2
Sarah Wieten	2
Andreea Steriu	2
Taylor McLinden	2
Palwasha Khan	2
Daloha Rodríguez-Molina	2
Julia Dabravolskaj	2
Mari Takashima	2
Meg G. Salvia	2
Eleanor J. Murray	2
Mi‐Suk Kang Dufour	2
Sophie Pilleron	2
Arthur Chatton	2
Ashley L. O’Donoghue	2
Alison E. Simmons	2
Julia M. Rohrer	2
Anna Booman	2
Nicholas Judd	2
Saman Khalatbari‐Soltani	2
Rachel A. Hoopsick	2
Emily Riederer	2
Philipp Schoenegger	2
Sarah J. Howcutt	2
Stefanie Do	2
Eric Au	2
Cathrine Axfors	2
P. W. G. Tennant	2
Nnaemeka U. Odo	2
Sarah E. Twardowski	2
Jessie Seiler	2
Ian Schmid	2
Thomas Rhys Evans	2
Elizabeth A. Stuart	2
Rebekah Baglini	2
Juliana Pugmire	1
Sarah Morgan‐Trimmer	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Causal Language in Observational Orthopaedic Research	2021	Nathan H. Varady Aliya G. Feroe Mark Alan Fontana Antonia F. Chen	2
+ PDF Chat	Use of Causal Language in Observational Studies of Obesity and Nutrition	2010	Stacey S. Cofield Rachel V. Corona David B. Allison	2
+ PDF Chat	Scalar Implicatures: The Psychological Reality of Scales	2016	Alex de Carvalho Anne Reboul Jean‐Baptiste Van der Henst Anne Cheylus Tatjana A. Nazir	2
+	The C-Word: Scientific Euphemisms Do Not Improve Causal Inference From Observational Data	2018	Miguel A. Hernán	2
+ PDF Chat	The Critical Importance of Asking Good Questions: The Role of Epidemiology Doctoral Training Programs	2019	Matthew P. Fox Jessie K. Edwards Robert W. Platt Laura B. Balzer	2
+	Is the Way Forward to Step Back? Documenting the Frequency With Which Study Goals Are Misaligned With Study Methods and Interpretations in the Epidemiologic Literature	2021	Katrina Kezios	2
+	Modern Applied Statistics with S	2002	W. N. Venables B. D. Ripley	2
+	Understanding uncertainty and bias to improve causal inference in health intervention research	2018	Tim Watkins	2
+	The Taboo Against Explicit Causal Inference in Nonexperimental Psychology	2020	Michael P. Grosz Julia M. Rohrer Felix Thoemmes	2
+	The Quest for Timely Insights into COVID-19 Should not Come at the Cost of Scientific Rigor	2020	P. W. G. Tennant Eleanor J. Murray	2
+ PDF Chat	Consistency of causal claims in observational studies: a review of papers published in a general medical journal	2021	Camila Olarte Parra Lorenzo Bertizzolo Sara Schroter Agnès Dechartres Els Goetghebeur	2
+ PDF Chat	What Is Your Estimand? Defining the Target Quantity Connects Statistical Evidence to Theory	2021	Ian Lundberg Rebecca Johnson Brandon Stewart	2
+ PDF Chat	Prediction or causality? A scoping review of their conflation within current observational research	2021	Chava L. Ramspek Ewout W. Steyerberg Richard D. Riley Frits R. Rosendaal Olaf M. Dekkers Friedo W. Dekker Merel van Diepen	2
+ PDF Chat	Use of directed acyclic graphs (DAGs) in applied health research: review and recommendations	2019	P. W. G. Tennant Wendy J. Harrison Eleanor J. Murray Kellyn F Arnold Laurie Berrie Matthew P. Fox Sarah Gadd Claire Keeble Lynsie R. Ranker Johannes Textor	1
+ PDF Chat	Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations	2020	P. W. G. Tennant Eleanor J. Murray Kellyn F Arnold Laurie Berrie Matthew P. Fox Sarah Gadd Wendy J. Harrison Claire Keeble Lynsie R. Ranker Johannes Textor	1