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Ian Schmid

Showing results (1-10 of 22) with videos related to

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JAMA|March 4, 2015
Medicaid prior authorization policies for pediatric use of antipsychotic medicationsIan Schmid, Mehmet Burcu, Julie M Zito
Psychological Methods|July 17, 2020
Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learnTrang Quynh Nguyen, Ian Schmid, Elizabeth A Stuart
Current Epidemiology Reports|February 20, 2018
Propensity Scores in Pharmacoepidemiology: Beyond the HorizonJohn W Jackson, Ian Schmid, Elizabeth A Stuart
Journal of Causal Inference|May 9, 2024
Clarifying causal mediation analysis: Effect identification via three assumptions and five potential outcomesTrang Quynh Nguyen, Ian Schmid, Elizabeth L Ogburn, et al.
Epidemiology (Cambridge, Mass.)|February 16, 2021
Generalizability of Subgroup EffectsMarissa J Seamans, Hwanhee Hong, Benjamin Ackerman, et al.
American Journal of Preventive Medicine|September 22, 2023
State Laws That Require Coprescribing Opioids and Naloxone and Codispensing PracticesKayla N Tormohlen, Ian Schmid, Elizabeth A Stuart, et al.
Plos One|December 12, 2018
Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation detailsTrang Quynh Nguyen, Benjamin Ackerman, Ian Schmid, et al.
Addictive Behaviors|November 13, 2018
Implementing statistical methods for generalizing randomized trial findings to a target populationBenjamin Ackerman, Ian Schmid, Kara E Rudolph, et al.
Communications in Statistics: Simulation and Computation|November 24, 2022
Comparing the performance of statistical methods that generalize effect estimates from randomized controlled trials to much larger target populationsIan Schmid, Kara E Rudolph, Trang Quynh Nguyen, et al.
Statistics Surveys|April 29, 2024
Causal mediation analysis: From simple to more robust strategies for estimation of marginal natural (in)direct effectsTrang Quynh Nguyen, Elizabeth L Ogburn, Ian Schmid, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
JAMA|March 4, 2015
Medicaid prior authorization policies for pediatric use of antipsychotic medicationsIan Schmid, Mehmet Burcu, Julie M Zito
Psychological Methods|July 17, 2020
Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learnTrang Quynh Nguyen, Ian Schmid, Elizabeth A Stuart
Current Epidemiology Reports|February 20, 2018
Propensity Scores in Pharmacoepidemiology: Beyond the HorizonJohn W Jackson, Ian Schmid, Elizabeth A Stuart
Journal of Causal Inference|May 9, 2024
Clarifying causal mediation analysis: Effect identification via three assumptions and five potential outcomesTrang Quynh Nguyen, Ian Schmid, Elizabeth L Ogburn, et al.
Epidemiology (Cambridge, Mass.)|February 16, 2021
Generalizability of Subgroup EffectsMarissa J Seamans, Hwanhee Hong, Benjamin Ackerman, et al.
American Journal of Preventive Medicine|September 22, 2023
State Laws That Require Coprescribing Opioids and Naloxone and Codispensing PracticesKayla N Tormohlen, Ian Schmid, Elizabeth A Stuart, et al.
Plos One|December 12, 2018
Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation detailsTrang Quynh Nguyen, Benjamin Ackerman, Ian Schmid, et al.
Addictive Behaviors|November 13, 2018
Implementing statistical methods for generalizing randomized trial findings to a target populationBenjamin Ackerman, Ian Schmid, Kara E Rudolph, et al.
Communications in Statistics: Simulation and Computation|November 24, 2022
Comparing the performance of statistical methods that generalize effect estimates from randomized controlled trials to much larger target populationsIan Schmid, Kara E Rudolph, Trang Quynh Nguyen, et al.
Statistics Surveys|April 29, 2024
Causal mediation analysis: From simple to more robust strategies for estimation of marginal natural (in)direct effectsTrang Quynh Nguyen, Elizabeth L Ogburn, Ian Schmid, et al.
Pageof 3