Dynamic prediction for multiple repeated measures and event time data: An application to Parkinson’s disease
Publication
, Journal Article
Wang, J; Luo, S; Li, L
Published in: Annals of Applied Statistics
2017
Duke Scholars
Published In
Annals of Applied Statistics
Publication Date
2017
Volume
OnlineFirst
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 1403 Econometrics
- 0104 Statistics
Citation
APA
Chicago
ICMJE
MLA
NLM
Wang, J., Luo, S., & Li, L. (2017). Dynamic prediction for multiple repeated measures and event time data: An application to Parkinson’s disease. Annals of Applied Statistics, OnlineFirst.
Wang, J., S. Luo, and L. Li. “Dynamic prediction for multiple repeated measures and event time data: An application to Parkinson’s disease.” Annals of Applied Statistics OnlineFirst (2017).
Wang J, Luo S, Li L. Dynamic prediction for multiple repeated measures and event time data: An application to Parkinson’s disease. Annals of Applied Statistics. 2017;OnlineFirst.
Wang, J., et al. “Dynamic prediction for multiple repeated measures and event time data: An application to Parkinson’s disease.” Annals of Applied Statistics, vol. OnlineFirst, 2017.
Wang J, Luo S, Li L. Dynamic prediction for multiple repeated measures and event time data: An application to Parkinson’s disease. Annals of Applied Statistics. 2017;OnlineFirst.
Published In
Annals of Applied Statistics
Publication Date
2017
Volume
OnlineFirst
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 1403 Econometrics
- 0104 Statistics