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ISO-690 (author-date, English)

WANG Z, SHEN Z, MING R und TU D, 2026. A Tobit Partly Linear Mixed and Mixture Cure Model for the Joint Analysis of Interval-Bounded Longitudinal Measurements and Survival Times With Cure Proportion. Pharmaceutical statistics. 1 März 2026. Vol. 25, no. 2, p. e70072-e70072. DOI 10.1002/pst.70072.

Elsevier - Harvard (with titles)

Wang Z, Shen Z, Ming R, Tu D, 2026. A Tobit Partly Linear Mixed and Mixture Cure Model for the Joint Analysis of Interval-Bounded Longitudinal Measurements and Survival Times With Cure Proportion. Pharmaceutical statistics 25, e70072-e70072. https://doi.org/10.1002/pst.70072

American Psychological Association 7th edition

Wang Z, Shen Z, Ming R, & Tu D. (2026). A Tobit Partly Linear Mixed and Mixture Cure Model for the Joint Analysis of Interval-Bounded Longitudinal Measurements and Survival Times With Cure Proportion. Pharmaceutical Statistics, 25(2), e70072-e70072. https://doi.org/10.1002/pst.70072

Springer - Basic (author-date)

Wang Z, Shen Z, Ming R, Tu D (2026) A Tobit Partly Linear Mixed and Mixture Cure Model for the Joint Analysis of Interval-Bounded Longitudinal Measurements and Survival Times With Cure Proportion.. Pharmaceutical statistics 25:e70072-e70072. https://doi.org/10.1002/pst.70072

Juristische Zitierweise (Stüber) (Deutsch)

Wang Z/ Shen Z/ Ming R/ Tu D, A Tobit Partly Linear Mixed and Mixture Cure Model for the Joint Analysis of Interval-Bounded Longitudinal Measurements and Survival Times With Cure Proportion., Pharmaceutical statistics 2026, e70072-e70072.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.