M-estimation for common epidemiological measures: introduction and applied examples

RK Ross, PN Zivich, JSA Stringer… - International Journal of …, 2024 - academic.oup.com
M-estimation is a statistical procedure that is particularly advantageous for some comon
epidemiological analyses, including approaches to estimate an adjusted marginal risk …

M-estimation for common epidemiological measures: introduction and applied examples

RK Ross, PN Zivich, JSA Stringer… - International journal …, 2024 - pubmed.ncbi.nlm.nih.gov
M-estimation is a statistical procedure that is particularly advantageous for some comon
epidemiological analyses, including approaches to estimate an adjusted marginal risk …

M-estimation for common epidemiological measures: introduction and applied examples

RK Ross, PN Zivich, JSA Stringer… - International Journal of …, 2024 - academic.oup.com
M-estimation is a statistical procedure that is particularly advantageous for some comon
epidemiological analyses, including approaches to estimate an adjusted marginal risk …

M-estimation for common epidemiological measures: introduction and applied examples

RK Ross, PN Zivich, JSA Stringer… - International Journal of …, 2024 - sensusimpact.com
M-estimation is a statistical procedure that is particularly advantageous for some comon
epidemiological analyses, including approaches to estimate an adjusted marginal risk …

M-estimation for common epidemiological measures: introduction and applied examples.

RK Ross, PN Zivich, JSA Stringer… - International Journal of …, 2024 - europepmc.org
M-estimation is a statistical procedure that is particularly advantageous for some comon
epidemiological analyses, including approaches to estimate an adjusted marginal risk …

M-estimation for common epidemiological measures: introduction and applied examples

RK Ross, PN Zivich, JSA Stringer… - International Journal of …, 2024 - sensusimpact.com
M-estimation is a statistical procedure that is particularly advantageous for some comon
epidemiological analyses, including approaches to estimate an adjusted marginal risk …