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Edmund Njeru Njagi

Showing results (1-10 of 23) with videos related to

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Pharmaceutical Statistics|September 2, 2016
A novel approach to estimation of the time to biomarker threshold: applications to HIVTarylee Reddy, Geert Molenberghs, Edmund Njeru Njagi, et al.
Biometrical Journal. Biometrische Zeitschrift|April 23, 2013
A joint model for longitudinal continuous and time-to-event outcomes with direct marginal interpretationAchmad Efendi, Geert Molenberghs, Edmund Njeru Njagi, et al.
BMC Public Health|January 1, 2020
Longitudinal associations between perceptions of the neighbourhood environment and physical activity in adolescents: evidence from the Olympic Regeneration in East London (ORiEL) studyNicolas Berger, Daniel Lewis, Matteo Quartagno, et al.
Journal of Epidemiology and Community Health|May 10, 2020
Longitudinal associations between neighbourhood trust, social support and physical activity in adolescents: evidence from the Olympic Regeneration in East London (ORiEL) studyNicolas Berger, Daniel Lewis, Matteo Quartagno, et al.
Frontiers in Public Health|August 6, 2019
Analysis of Hierarchical Routine Data With Covariate Missingness: Effects of Audit & Feedback on Clinicians' Prescribed Pediatric Pneumonia Care in Kenyan HospitalsSusan Gachau, Nelson Owuor, Edmund Njeru Njagi, et al.
Social Science & Medicine (1982)|August 7, 2019
Associations between school and neighbourhood ethnic density and physical activity in adolescents: Evidence from the Olympic Regeneration in East London (ORiEL) studyNicolas Berger, Daniel Lewis, Matteo Quartagno, et al.
Biometrical Journal. Biometrische Zeitschrift|June 21, 2014
A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysisEdmund Njeru Njagi, Geert Molenberghs, Michael G Kenward, et al.
Research Methods in Medicine & Health Sciences|March 30, 2026
Comparison of common multiple imputation approaches: An application of logistic regression with an interactionMatthew J Smith, Matteo Quartagno, Aurelien Belot, et al.
Statistical Methods in Medical Research|May 12, 2020
Handling missing data in modelling quality of clinician-prescribed routine care: Sensitivity analysis of departure from missing at random assumptionSusan Gachau, Matteo Quartagno, Edmund Njeru Njagi, et al.
Pharmaceutical Statistics|July 17, 2019
Random effects models for estimation of the probability and time to progression of a continuous biomarkerTarylee Reddy, Geert Molenberghs, Liesbeth Bruckers, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Pharmaceutical Statistics|September 2, 2016
A novel approach to estimation of the time to biomarker threshold: applications to HIVTarylee Reddy, Geert Molenberghs, Edmund Njeru Njagi, et al.
Biometrical Journal. Biometrische Zeitschrift|April 23, 2013
A joint model for longitudinal continuous and time-to-event outcomes with direct marginal interpretationAchmad Efendi, Geert Molenberghs, Edmund Njeru Njagi, et al.
BMC Public Health|January 1, 2020
Longitudinal associations between perceptions of the neighbourhood environment and physical activity in adolescents: evidence from the Olympic Regeneration in East London (ORiEL) studyNicolas Berger, Daniel Lewis, Matteo Quartagno, et al.
Journal of Epidemiology and Community Health|May 10, 2020
Longitudinal associations between neighbourhood trust, social support and physical activity in adolescents: evidence from the Olympic Regeneration in East London (ORiEL) studyNicolas Berger, Daniel Lewis, Matteo Quartagno, et al.
Frontiers in Public Health|August 6, 2019
Analysis of Hierarchical Routine Data With Covariate Missingness: Effects of Audit & Feedback on Clinicians' Prescribed Pediatric Pneumonia Care in Kenyan HospitalsSusan Gachau, Nelson Owuor, Edmund Njeru Njagi, et al.
Social Science & Medicine (1982)|August 7, 2019
Associations between school and neighbourhood ethnic density and physical activity in adolescents: Evidence from the Olympic Regeneration in East London (ORiEL) studyNicolas Berger, Daniel Lewis, Matteo Quartagno, et al.
Biometrical Journal. Biometrische Zeitschrift|June 21, 2014
A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysisEdmund Njeru Njagi, Geert Molenberghs, Michael G Kenward, et al.
Research Methods in Medicine & Health Sciences|March 30, 2026
Comparison of common multiple imputation approaches: An application of logistic regression with an interactionMatthew J Smith, Matteo Quartagno, Aurelien Belot, et al.
Statistical Methods in Medical Research|May 12, 2020
Handling missing data in modelling quality of clinician-prescribed routine care: Sensitivity analysis of departure from missing at random assumptionSusan Gachau, Matteo Quartagno, Edmund Njeru Njagi, et al.
Pharmaceutical Statistics|July 17, 2019
Random effects models for estimation of the probability and time to progression of a continuous biomarkerTarylee Reddy, Geert Molenberghs, Liesbeth Bruckers, et al.
Pageof 3