Biomedical Engineering Reference
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Bibliography
Andersen, P. K., Borgan, O., Gill, R. D., and Keiding, N. (1993). Statistical
Models Based on Counting Processes. New York: New York: Springer.
Barrett, J., Siannis, F., and Farewell, V. T. (2011). A semi-competing risks
model for data with interval-censoring and informative observation: An ap-
plication to the MRC cognitive function and ageing study.
Statistics in
Medicine 30, 1{10.
Commenges, D. (2002).
Inference for multi-state models from interval-
censored data. Statistical Methods in Medical Research 11, 167{182.
Commenges, D. and Joly, P. (2004).
Multi-state model for demential, in-
stitutionalization and death.
Communications in Statistics|Theory and
Methods 33, 1315{1326.
Joly, P., Commenges, D., Helner, C., and Letenneur, L. (2002). A penalized
likelihood approach for an illness-death model with interval-censored data:
Application to age-specic incidence of dementia. Biostatistics 3, 433{443.
Lagakos, S. W. and Louis, T. A. (1988). Use of tumor lethality to interpret
tumorigenicity experiments lacking cause-of-death data. Applied Statistics
37, 169{179.
Lindsey, J. C. and Ryan, L. M. (1994). A comparison of continuous- and dis-
crete time three state models for rodent tumorigenicity experiments. Envi-
ronmental Health Perspective Supplements 102, 9{17.
Xu, J., Kalbfleisch, D., and Tai, B. (2010). Statistical analysis of illness-death
processes and semicompeting risks data. Biometrics 66, 716{725.
 
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