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Menglan Pang

Showing results (1-10 of 28) with videos related to

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Journal of Clinical Epidemiology|February 10, 2015
Confounding, effect modification, and the odds ratio: common misinterpretationsIan Shrier, Menglan Pang
Epidemiology (Cambridge, Mass.)|June 5, 2013
Confounding of incidence density ratio in case-control studiesMenglan Pang, Tibor Schuster
American Journal of Epidemiology|June 21, 2021
"Translating" All-Cause Mortality Rate Ratios or Hazard Ratios to Age-, Longevity-, and Probability-Based MeasuresMenglan Pang, James A Hanley
Journal of Clinical Epidemiology|June 13, 2017
Graphic report of the results from propensity score method analysesIan Shrier, Menglan Pang, Robert W Platt
Pharmacoepidemiology and Drug Safety|April 14, 2015
On the role of marginal confounder prevalence - implications for the high-dimensional propensity score algorithmTibor Schuster, Menglan Pang, Robert W Platt
Statistical Methods in Medical Research|October 11, 2013
Studying noncollapsibility of the odds ratio with marginal structural and logistic regression modelsMenglan Pang, Jay S Kaufman, Robert W Platt
BMC Medical Research Methodology|November 26, 2024
Non-collapsibility and built-in selection bias of period-specific and conventional hazard ratio in randomized controlled trialsHelen Bian, Menglan Pang, Guanbo Wang, et al.
Journal of Biopharmaceutical Statistics|May 8, 2026
Using principal progression rate to quantify and compare disease progression in comparative studiesChangyu Shen, Menglan Pang, Ling Zhu, et al.
Epidemiology (Cambridge, Mass.)|November 23, 2017
Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?Mohammad Ehsanul Karim, Menglan Pang, Robert W Platt
The American Journal of Cardiology|January 8, 2013
Mixing of confounding and non-collapsibility: a notable deficiency of the odds ratioMenglan Pang, Jay S Kaufman, Robert W Platt
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Journal of Clinical Epidemiology|February 10, 2015
Confounding, effect modification, and the odds ratio: common misinterpretationsIan Shrier, Menglan Pang
Epidemiology (Cambridge, Mass.)|June 5, 2013
Confounding of incidence density ratio in case-control studiesMenglan Pang, Tibor Schuster
American Journal of Epidemiology|June 21, 2021
"Translating" All-Cause Mortality Rate Ratios or Hazard Ratios to Age-, Longevity-, and Probability-Based MeasuresMenglan Pang, James A Hanley
Journal of Clinical Epidemiology|June 13, 2017
Graphic report of the results from propensity score method analysesIan Shrier, Menglan Pang, Robert W Platt
Pharmacoepidemiology and Drug Safety|April 14, 2015
On the role of marginal confounder prevalence - implications for the high-dimensional propensity score algorithmTibor Schuster, Menglan Pang, Robert W Platt
Statistical Methods in Medical Research|October 11, 2013
Studying noncollapsibility of the odds ratio with marginal structural and logistic regression modelsMenglan Pang, Jay S Kaufman, Robert W Platt
BMC Medical Research Methodology|November 26, 2024
Non-collapsibility and built-in selection bias of period-specific and conventional hazard ratio in randomized controlled trialsHelen Bian, Menglan Pang, Guanbo Wang, et al.
Journal of Biopharmaceutical Statistics|May 8, 2026
Using principal progression rate to quantify and compare disease progression in comparative studiesChangyu Shen, Menglan Pang, Ling Zhu, et al.
Epidemiology (Cambridge, Mass.)|November 23, 2017
Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?Mohammad Ehsanul Karim, Menglan Pang, Robert W Platt
The American Journal of Cardiology|January 8, 2013
Mixing of confounding and non-collapsibility: a notable deficiency of the odds ratioMenglan Pang, Jay S Kaufman, Robert W Platt
Pageof 3