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Michael Baiocchi

Showing results (1-10 of 88) with videos related to

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JAMA Network Open|February 16, 2019
Which Deteriorating Ward Patients Benefit From Transfer to the Intensive Care Unit?: Critically Engaging Methods in a Well-Designed Natural ExperimentMichael Baiocchi
NEJM Evidence|May 28, 2024
Statistical Considerations When Building upon an Existing Randomized TrialMichael Baiocchi
The American Statistician|February 13, 2023
Assignment-Control Plots: A Visual Companion for Causal Inference Study DesignRachael C Aikens, Michael Baiocchi
Journal of Statistical Software|November 3, 2018
Near-Far Matching in R: The nearfar PackageJoseph Rigdon, Michael Baiocchi, Sanjay Basu
Trials|July 18, 2018
Preventing false discovery of heterogeneous treatment effect subgroups in randomized trialsJoseph Rigdon, Michael Baiocchi, Sanjay Basu
Statistics in Medicine|October 5, 2020
A pilot design for observational studies: Using abundant data thoughtfullyRachael C Aikens, Dylan Greaves, Michael Baiocchi
International Journal of Epidemiology|May 13, 2022
Pre-processing data to reduce biases: full matching incorporating an instrumental variable in population-based studiesIlan Cerna-Turoff, Katherine Maurer, Michael Baiocchi
Statistics in Medicine|March 7, 2014
Instrumental variable methods for causal inferenceMichael Baiocchi, Jing Cheng, Dylan S Small
JAMA|February 28, 2017
Using Design Thinking to Differentiate Useful From Misleading Evidence in Observational ResearchSteven N Goodman, Sebastian Schneeweiss, Michael Baiocchi
Statistics in Medicine|August 6, 2019
CorrectionMichael Baiocchi, Jing Cheng, Dylan S Small
Pageof 9

Showing results (1-10 of 88) with videos related to

Sort By:
Pageof 9
JAMA Network Open|February 16, 2019
Which Deteriorating Ward Patients Benefit From Transfer to the Intensive Care Unit?: Critically Engaging Methods in a Well-Designed Natural ExperimentMichael Baiocchi
NEJM Evidence|May 28, 2024
Statistical Considerations When Building upon an Existing Randomized TrialMichael Baiocchi
The American Statistician|February 13, 2023
Assignment-Control Plots: A Visual Companion for Causal Inference Study DesignRachael C Aikens, Michael Baiocchi
Journal of Statistical Software|November 3, 2018
Near-Far Matching in R: The nearfar PackageJoseph Rigdon, Michael Baiocchi, Sanjay Basu
Trials|July 18, 2018
Preventing false discovery of heterogeneous treatment effect subgroups in randomized trialsJoseph Rigdon, Michael Baiocchi, Sanjay Basu
Statistics in Medicine|October 5, 2020
A pilot design for observational studies: Using abundant data thoughtfullyRachael C Aikens, Dylan Greaves, Michael Baiocchi
International Journal of Epidemiology|May 13, 2022
Pre-processing data to reduce biases: full matching incorporating an instrumental variable in population-based studiesIlan Cerna-Turoff, Katherine Maurer, Michael Baiocchi
Statistics in Medicine|March 7, 2014
Instrumental variable methods for causal inferenceMichael Baiocchi, Jing Cheng, Dylan S Small
JAMA|February 28, 2017
Using Design Thinking to Differentiate Useful From Misleading Evidence in Observational ResearchSteven N Goodman, Sebastian Schneeweiss, Michael Baiocchi
Statistics in Medicine|August 6, 2019
CorrectionMichael Baiocchi, Jing Cheng, Dylan S Small
Pageof 9