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Lawrence C McCandless

Showing results (1-10 of 47) with videos related to

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Biometrics|February 22, 2012
Discussion of adjustment uncertainty and propensity scoresLawrence C McCandless
The International Journal of Biostatistics|April 14, 2012
Meta-analysis of observational studies with unmeasured confoundersLawrence C McCandless
Epidemiology (Cambridge, Mass.)|July 26, 2013
Statin use and fracture risk: can we quantify the healthy-user effect?Lawrence C McCandless
Statistics in Medicine|April 8, 2017
A comparison of Bayesian and Monte Carlo sensitivity analysis for unmeasured confoundingLawrence C McCandless, Paul Gustafson
International Journal of Environmental Research and Public Health|July 10, 2010
Probabilistic approaches to better quantifying the results of epidemiologic studiesPaul Gustafson, Lawrence C McCandless
Statistical Methods in Medical Research|September 9, 2017
Bayesian sensitivity analysis for unmeasured confounding in causal mediation analysisLawrence C McCandless, Julian M Somers
Statistics in Medicine|September 26, 2006
Bayesian sensitivity analysis for unmeasured confounding in observational studiesLawrence C McCandless, Paul Gustafson, Adrian Levy
Environmental Epidemiology (Philadelphia, Pa.)|December 19, 2022
Sensitivity analysis for live birth bias in the Ulaanbaatar Gestation and Air Pollution Research studyLawrence C McCandless, Enkhjargal Gombojav, Ryan W Allen
Journal of Clinical Epidemiology|January 30, 2008
A sensitivity analysis using information about measured confounders yielded improved uncertainty assessments for unmeasured confoundingLawrence C McCandless, Paul Gustafson, Adrian R Levy
Statistics in Medicine|November 18, 2008
Bayesian propensity score analysis for observational dataLawrence C McCandless, Paul Gustafson, Peter C Austin
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
Biometrics|February 22, 2012
Discussion of adjustment uncertainty and propensity scoresLawrence C McCandless
The International Journal of Biostatistics|April 14, 2012
Meta-analysis of observational studies with unmeasured confoundersLawrence C McCandless
Epidemiology (Cambridge, Mass.)|July 26, 2013
Statin use and fracture risk: can we quantify the healthy-user effect?Lawrence C McCandless
Statistics in Medicine|April 8, 2017
A comparison of Bayesian and Monte Carlo sensitivity analysis for unmeasured confoundingLawrence C McCandless, Paul Gustafson
International Journal of Environmental Research and Public Health|July 10, 2010
Probabilistic approaches to better quantifying the results of epidemiologic studiesPaul Gustafson, Lawrence C McCandless
Statistical Methods in Medical Research|September 9, 2017
Bayesian sensitivity analysis for unmeasured confounding in causal mediation analysisLawrence C McCandless, Julian M Somers
Statistics in Medicine|September 26, 2006
Bayesian sensitivity analysis for unmeasured confounding in observational studiesLawrence C McCandless, Paul Gustafson, Adrian Levy
Environmental Epidemiology (Philadelphia, Pa.)|December 19, 2022
Sensitivity analysis for live birth bias in the Ulaanbaatar Gestation and Air Pollution Research studyLawrence C McCandless, Enkhjargal Gombojav, Ryan W Allen
Journal of Clinical Epidemiology|January 30, 2008
A sensitivity analysis using information about measured confounders yielded improved uncertainty assessments for unmeasured confoundingLawrence C McCandless, Paul Gustafson, Adrian R Levy
Statistics in Medicine|November 18, 2008
Bayesian propensity score analysis for observational dataLawrence C McCandless, Paul Gustafson, Peter C Austin
Pageof 5