Estimating Transition Probabilities Across the Alzheimer's Disease Continuum Using a Nationally Representative Real-World Database in the United States.

Tahami Monfared, Amir Abbas; Fu, Shuai; Hummel, Noemi; Qi, Luyuan; Chandak, Aastha; Zhang, Raymond; Zhang, Quanwu

Tahami Monfared, Amir Abbas; Fu, Shuai; Hummel, Noemi; Qi, Luyuan; Chandak, Aastha; Zhang, Raymond; Zhang, Quanwu.

Afiliación

Tahami Monfared AA; Eisai Inc., 200 Metro Blvd, Nutley, NJ, 07110, USA. Amir_Tahami@eisai.com.
Fu S; Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada. Amir_Tahami@eisai.com.
Hummel N; Certara, Integrated Drug Development, Office 610, South Tower, HongKong Plaza, No. 283 Huaihai Road Middle, Huangpu District, Shanghai, China.
Qi L; Certara GmbH, Chesterplatz 1, 79539, Lörrach, Germany.
Chandak A; Certara Sarl, 54 Rue de Londres, 75008, Paris, France.
Zhang R; Certara Inc., 100 Overlook Center, Suite 101, Princeton, NJ, 08540, USA.
Zhang Q; Eisai Inc., 200 Metro Blvd, Nutley, NJ, 07110, USA.

Neurol Ther ; 12(4): 1235-1255, 2023 Aug.

Article en En | MEDLINE | ID: mdl-37256433

Palabras clave

Alzheimer's disease; Disease progression; Mixed-effects model; Multi-state Markov model; TICS-m; Transition probability

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Neurol Ther Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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