TY - JOUR AU - Hakulinen, T. PY - 1996 DA - 1996// TI - The future cancer burden as a study subject JO - Acta Oncol VL - 35 UR - https://doi.org/10.3109/02841869609083996 DO - 10.3109/02841869609083996 ID - Hakulinen1996 ER - TY - JOUR AU - Fan, L. AU - Goss, P. E. AU - Strasser-Weippl, K. PY - 2015 DA - 2015// TI - Current status and future projections of breast cancer in Asia JO - Breast Care VL - 10 UR - https://doi.org/10.1159/000441818 DO - 10.1159/000441818 ID - Fan2015 ER - TY - JOUR AU - Bray, F. AU - Ferlay, J. AU - Soerjomataram, I. AU - Siegel, R. L. AU - Torre, L. A. AU - Jemal, A. PY - 2018 DA - 2018// TI - Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries JO - CA Cancer J Clin VL - 68 UR - https://doi.org/10.3322/caac.21492 DO - 10.3322/caac.21492 ID - Bray2018 ER - TY - JOUR AU - Mubarik, S. AU - Wang, F. AU - Fawad, M. AU - Wang, Y. AU - Ahmad, I. AU - Yu, C. PY - 2020 DA - 2020// TI - Trends and projections in breast cancer mortality among four Asian countries (1990–2017): evidence from five stochastic mortality models JO - Sci Rep VL - 10 UR - https://doi.org/10.1038/s41598-020-62393-1 DO - 10.1038/s41598-020-62393-1 ID - Mubarik2020 ER - TY - JOUR AU - Kim, Y. AU - Yoo, K. -. Y. AU - Goodman, M. T. PY - 2015 DA - 2015// TI - Differences in incidence, mortality and survival of breast cancer by regions and countries in Asia and contributing factors JO - Asian Pac J Cancer Prev VL - 16 UR - https://doi.org/10.7314/APJCP.2015.16.7.2857 DO - 10.7314/APJCP.2015.16.7.2857 ID - Kim2015 ER - TY - JOUR AU - Mubarik, S. AU - Malik, S. S. AU - Wang, Z. AU - Li, C. AU - Fawad, M. AU - Yu, C. PY - 2019 DA - 2019// TI - Recent insights into breast cancer incidence trends among four Asian countries using age-period-cohort model JO - Cancer Manag Res VL - 11 UR - https://doi.org/10.2147/CMAR.S208323 DO - 10.2147/CMAR.S208323 ID - Mubarik2019 ER - TY - JOUR AU - Mubarik, S. AU - Wang, F. AU - Malik, S. S. AU - Shi, F. AU - Wang, Y. AU - Yu, C. PY - 2020 DA - 2020// TI - A hierarchical age–period–cohort analysis of breast Cancer mortality and disability adjusted life years (1990–2015) attributable to modified risk factors among Chinese women JO - Int J Environ Res Public Health VL - 17 UR - https://doi.org/10.3390/ijerph17041367 DO - 10.3390/ijerph17041367 ID - Mubarik2020 ER - TY - JOUR AU - Li, N. AU - Lee, R. AU - Tuljapurkar, S. PY - 2004 DA - 2004// TI - Using the Lee–Carter method to forecast mortality for populations with limited data JO - Int Stat Rev VL - 72 UR - https://doi.org/10.1111/j.1751-5823.2004.tb00221.x DO - 10.1111/j.1751-5823.2004.tb00221.x ID - Li2004 ER - TY - JOUR AU - Camarda, C. G. PY - 2019 DA - 2019// TI - Smooth constrained mortality forecasting JO - Demogr Res VL - 41 UR - https://doi.org/10.4054/DemRes.2019.41.38 DO - 10.4054/DemRes.2019.41.38 ID - Camarda2019 ER - TY - STD TI - D'Amato V, Piscopo G, Russolillo M. The mortality of the italian population: smoothing techniques on the lee—carter model. Ann Appl Stat. 2011:705–24. ID - ref10 ER - TY - JOUR AU - Lee, R. D. AU - Carter, L. R. PY - 1992 DA - 1992// TI - Modeling and forecasting US mortality JO - J Am Stat Assoc VL - 87 ID - Lee1992 ER - TY - JOUR AU - Booth, H. AU - Maindonald, J. AU - Smith, L. PY - 2002 DA - 2002// TI - Applying Lee-Carter under conditions of variable mortality decline JO - Popul Stud VL - 56 UR - https://doi.org/10.1080/00324720215935 DO - 10.1080/00324720215935 ID - Booth2002 ER - TY - JOUR AU - Renshaw, A. E. AU - Haberman, S. PY - 2003 DA - 2003// TI - On the forecasting of mortality reduction factors JO - Insurance Math Econ VL - 32 UR - https://doi.org/10.1016/S0167-6687(03)00118-5 DO - 10.1016/S0167-6687(03)00118-5 ID - Renshaw2003 ER - TY - JOUR AU - Renshaw, A. E. AU - Haberman, S. PY - 2008 DA - 2008// TI - On simulation-based approaches to risk measurement in mortality with specific reference to Poisson Lee–Carter modelling JO - Insurance Math Econ VL - 42 UR - https://doi.org/10.1016/j.insmatheco.2007.08.009 DO - 10.1016/j.insmatheco.2007.08.009 ID - Renshaw2008 ER - TY - JOUR AU - Hyndman, R. J. AU - Ullah, M. S. PY - 2007 DA - 2007// TI - Robust forecasting of mortality and fertility rates: a functional data approach JO - Comput Stat Data Anal VL - 51 UR - https://doi.org/10.1016/j.csda.2006.07.028 DO - 10.1016/j.csda.2006.07.028 ID - Hyndman2007 ER - TY - JOUR AU - Renshaw, A. AU - Haberman, S. PY - 2003 DA - 2003// TI - Lee–Carter mortality forecasting: a parallel generalized linear modelling approach for England and Wales mortality projections JO - J R Stat Soc: Ser C: Appl Stat VL - 52 UR - https://doi.org/10.1111/1467-9876.00393 DO - 10.1111/1467-9876.00393 ID - Renshaw2003 ER - TY - JOUR AU - Renshaw, A. E. AU - Haberman, S. PY - 2003 DA - 2003// TI - Lee–Carter mortality forecasting with age-specific enhancement JO - Insurance Math Econ VL - 33 UR - https://doi.org/10.1016/S0167-6687(03)00138-0 DO - 10.1016/S0167-6687(03)00138-0 ID - Renshaw2003 ER - TY - JOUR AU - Cairns, A. J. AU - Blake, D. AU - Dowd, K. AU - Coughlan, G. D. AU - Epstein, D. AU - Ong, A. AU - Balevich, I. PY - 2009 DA - 2009// TI - A quantitative comparison of stochastic mortality models using data from England and Wales and the United States JO - North Am Actuarial J VL - 13 UR - https://doi.org/10.1080/10920277.2009.10597538 DO - 10.1080/10920277.2009.10597538 ID - Cairns2009 ER - TY - JOUR AU - Carfora, M. F. AU - Cutillo, L. AU - Orlando, A. PY - 2017 DA - 2017// TI - A quantitative comparison of stochastic mortality models on Italian population data JO - Comput Stat Data Anal VL - 112 UR - https://doi.org/10.1016/j.csda.2017.03.012 DO - 10.1016/j.csda.2017.03.012 ID - Carfora2017 ER - TY - JOUR AU - Dowd, K. AU - Cairns, A. J. AU - Blake, D. AU - Coughlan, G. D. AU - Epstein, D. AU - Khalaf-Allah, M. PY - 2010 DA - 2010// TI - Evaluating the goodness of fit of stochastic mortality models JO - Insurance Math Econ VL - 47 UR - https://doi.org/10.1016/j.insmatheco.2010.06.006 DO - 10.1016/j.insmatheco.2010.06.006 ID - Dowd2010 ER - TY - JOUR AU - Erbas, B. AU - Akram, M. AU - Gertig, D. M. AU - English, D. AU - Hopper, J. L. AU - Kavanagh, A. M. AU - Hyndman, R. PY - 2010 DA - 2010// TI - Using functional data analysis models to estimate future time trends in age-specific breast cancer mortality for the United States and England–Wales JO - J Epidemiol VL - 20 UR - https://doi.org/10.2188/jea.JE20090072 DO - 10.2188/jea.JE20090072 ID - Erbas2010 ER - TY - JOUR AU - Booth, H. PY - 2006 DA - 2006// TI - Demographic forecasting: 1980 to 2005 in review JO - Int J Forecast VL - 22 UR - https://doi.org/10.1016/j.ijforecast.2006.04.001 DO - 10.1016/j.ijforecast.2006.04.001 ID - Booth2006 ER - TY - JOUR AU - Booth, H. AU - Tickle, L. PY - 2008 DA - 2008// TI - Mortality modelling and forecasting: a review of methods JO - Ann Actuarial Sci VL - 3 UR - https://doi.org/10.1017/S1748499500000440 DO - 10.1017/S1748499500000440 ID - Booth2008 ER - TY - JOUR AU - Delwarde, A. AU - Denuit, M. AU - Eilers, P. PY - 2007 DA - 2007// TI - Smoothing the Lee–Carter and Poisson log-bilinear models for mortality forecasting: a penalized log-likelihood approach JO - Stat Model VL - 7 UR - https://doi.org/10.1177/1471082X0600700103 DO - 10.1177/1471082X0600700103 ID - Delwarde2007 ER - TY - STD TI - Eilers PH, Marx BD. Flexible smoothing with B-splines and penalties. Stat Sci. 1996:89–102. ID - ref25 ER - TY - JOUR AU - Currie, I. D. AU - Durban, M. AU - Eilers, P. H. PY - 2004 DA - 2004// TI - Smoothing and forecasting mortality rates JO - Stat Model VL - 4 UR - https://doi.org/10.1191/1471082X04st080oa DO - 10.1191/1471082X04st080oa ID - Currie2004 ER - TY - JOUR AU - Camarda, C. G. PY - 2012 DA - 2012// TI - MortalitySmooth: an R package for smoothing Poisson counts with P-splines JO - J Stat Softw VL - 50 UR - https://doi.org/10.18637/jss.v050.i01 DO - 10.18637/jss.v050.i01 ID - Camarda2012 ER - TY - JOUR AU - Currie, I. D. AU - Durban, M. AU - Eilers, P. H. PY - 2006 DA - 2006// TI - Generalized linear array models with applications to multidimensional smoothing JO - J Royal Stat Soc Ser B VL - 68 UR - https://doi.org/10.1111/j.1467-9868.2006.00543.x DO - 10.1111/j.1467-9868.2006.00543.x ID - Currie2006 ER - TY - JOUR AU - Lee, R. AU - Miller, T. PY - 2001 DA - 2001// TI - Evaluating the performance of the Lee-Carter method for forecasting mortality JO - Demography VL - 38 UR - https://doi.org/10.1353/dem.2001.0036 DO - 10.1353/dem.2001.0036 ID - Lee2001 ER - TY - JOUR AU - Hyndman, R. J. AU - Shang, H. L. PY - 2009 DA - 2009// TI - Forecasting functional time series JO - J Korean Statist Soc VL - 38 UR - https://doi.org/10.1016/j.jkss.2009.06.002 DO - 10.1016/j.jkss.2009.06.002 ID - Hyndman2009 ER - TY - STD TI - Box GE, Jenkins GM, Reinsel GC, Ljung GM. Time series analysis: forecasting and control. United Kingdom: Wiley; 2015. ISBN: 978-1-118-67502-1. ID - ref31 ER - TY - STD TI - Hamilton JD. Time series analysis, vol. 2. Princeton New Jersey: Princeton University Press; 1994. ISBN: 9780691042893. ID - ref32 ER - TY - STD TI - Booth H, Hyndman RJ, Tickle L, De Jong P. Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions. Demogr Res. 2006;15:289–310. ID - ref33 ER - TY - JOUR AU - Booth, H. AU - Tickle, L. AU - Smith, L. PY - 2005 DA - 2005// TI - Evaluation of the variants of the Lee-Carter method of forecasting mortality: a multi-country comparison JO - N Z Popul Rev VL - 31 ID - Booth2005 ER - TY - JOUR AU - Erbas, B. AU - Hyndman, R. J. AU - Gertig, D. M. PY - 2007 DA - 2007// TI - Forecasting age-specific breast cancer mortality using functional data models JO - Stat Med VL - 26 UR - https://doi.org/10.1002/sim.2306 DO - 10.1002/sim.2306 ID - Erbas2007 ER - TY - JOUR AU - Hyndman, R. J. AU - Booth, H. PY - 2008 DA - 2008// TI - Stochastic population forecasts using functional data models for mortality, fertility and migration JO - Int J Forecast VL - 24 UR - https://doi.org/10.1016/j.ijforecast.2008.02.009 DO - 10.1016/j.ijforecast.2008.02.009 ID - Hyndman2008 ER - TY - JOUR AU - Koissi, M. -. C. AU - Shapiro, A. F. AU - Högnäs, G. PY - 2006 DA - 2006// TI - Evaluating and extending the Lee–Carter model for mortality forecasting: bootstrap confidence interval JO - Insurance Math Econ VL - 38 UR - https://doi.org/10.1016/j.insmatheco.2005.06.008 DO - 10.1016/j.insmatheco.2005.06.008 ID - Koissi2006 ER - TY - BOOK AU - Booth, H. AU - Hyndman, R. J. AU - Tickle, L. PY - 2014 DA - 2014// TI - Prospective life tables. Computational Actuarial Science with R ID - Booth2014 ER - TY - JOUR AU - Shang, H. L. AU - Haberman, S. PY - 2018 DA - 2018// TI - Model confidence sets and forecast combination: an application to age-specific mortality JO - Genus VL - 74 UR - https://doi.org/10.1186/s41118-018-0043-9 DO - 10.1186/s41118-018-0043-9 ID - Shang2018 ER - TY - JOUR AU - Hering, A. S. AU - Genton, M. G. PY - 2011 DA - 2011// TI - Comparing spatial predictions JO - Technometrics VL - 53 UR - https://doi.org/10.1198/TECH.2011.10136 DO - 10.1198/TECH.2011.10136 ID - Hering2011 ER - TY - JOUR AU - Diebold, F. X. PY - 2015 DA - 2015// TI - Comparing predictive accuracy, twenty years later: a personal perspective on the use and abuse of Diebold–Mariano tests JO - J Bus Econ Stat VL - 33 UR - https://doi.org/10.1080/07350015.2014.983236 DO - 10.1080/07350015.2014.983236 ID - Diebold2015 ER - TY - JOUR AU - Gilleland, E. AU - Roux, G. PY - 2015 DA - 2015// TI - A new approach to testing forecast predictive accuracy JO - Meteorol Appl VL - 22 UR - https://doi.org/10.1002/met.1485 DO - 10.1002/met.1485 ID - Gilleland2015 ER - TY - JOUR AU - Fawad, M. AU - Yan, T. AU - Chen, L. AU - Huang, K. AU - Singh, V. P. PY - 2019 DA - 2019// TI - Multiparameter probability distributions for at-site frequency analysis of annual maximum wind speed with L-moments for parameter estimation JO - Energy VL - 181 UR - https://doi.org/10.1016/j.energy.2019.05.153 DO - 10.1016/j.energy.2019.05.153 ID - Fawad2019 ER - TY - JOUR AU - Mariano, R. S. AU - Preve, D. PY - 2012 DA - 2012// TI - Statistical tests for multiple forecast comparison JO - J Econ VL - 169 UR - https://doi.org/10.1016/j.jeconom.2012.01.014 DO - 10.1016/j.jeconom.2012.01.014 ID - Mariano2012 ER - TY - JOUR AU - Diks, C. AU - Panchenko, V. AU - Dijk, D. PY - 2010 DA - 2010// TI - Out-of-sample comparison of copula specifications in multivariate density forecasts JO - J Econ Dyn Control VL - 34 UR - https://doi.org/10.1016/j.jedc.2010.06.021 DO - 10.1016/j.jedc.2010.06.021 ID - Diks2010 ER - TY - JOUR AU - Giacomini, R. AU - White, H. PY - 2006 DA - 2006// TI - Tests of conditional predictive ability JO - Econometrica VL - 74 UR - https://doi.org/10.1111/j.1468-0262.2006.00718.x DO - 10.1111/j.1468-0262.2006.00718.x ID - Giacomini2006 ER - TY - JOUR AU - Khan, M. AU - Hossain, M. AU - Khan, A. AU - Nojima, M. AU - Suzuki, S. AU - Fujino, Y. AU - Tokudome, S. AU - Tamakoshi, K. AU - Mori, M. AU - Tamakoshi, A. PY - 2013 DA - 2013// TI - Ovarian cancer mortality among women aged 40-79 years in relation to reproductive factors and body mass index: latest evidence from the Japan collaborative cohort study JO - J Gynecol Oncol VL - 24 UR - https://doi.org/10.3802/jgo.2013.24.3.249 DO - 10.3802/jgo.2013.24.3.249 ID - Khan2013 ER - TY - JOUR AU - Mubarik, S. AU - Shakil Malik, S. AU - Wang, Z. AU - Li, C. AU - Fawad, M. AU - Yu, C. PY - 2019 DA - 2019// TI -

recent insights into breast cancer incidence trends among four Asian countries using age-period-cohort model

JO - Cancer Manag Res VL - 11 UR - https://doi.org/10.2147/CMAR.S208323 DO - 10.2147/CMAR.S208323 ID - Mubarik2019 ER - TY - STD TI - Wang J, Lv H, Xue Z, Wang L, Bai Z. Temporal trends of common female malignances on breast, cervical, and ovarian cancer mortality in Japan, Republic of Korea, and Singapore: application of the age-period-cohort model. Biomed Res Int. 2018;2018. ID - ref49 ER - TY - JOUR AU - Shen, S. AU - Zhou, Y. AU - Xu, Y. AU - Zhang, B. AU - Duan, X. AU - Huang, R. AU - Li, B. AU - Shi, Y. AU - Shao, Z. AU - Liao, H. PY - 2015 DA - 2015// TI - A multi-Centre randomised trial comparing ultrasound vs mammography for screening breast cancer in high-risk Chinese women JO - Br J Cancer VL - 112 UR - https://doi.org/10.1038/bjc.2015.33 DO - 10.1038/bjc.2015.33 ID - Shen2015 ER - TY - BOOK AU - Borup, D. AU - Thyrsgaard, M. PY - 2017 DA - 2017// TI - Statistical tests for equal predictive ability across multiple forecasting methods PB - Department of Economics and Business Economics, Aarhus University CY - Denmark ID - Borup2017 ER - TY - STD TI - Cairns AJ, Blake D, Dowd K, Coughlan GD, Epstein D, Khalaf-Allah M. Mortality density forecasts: an analysis of six stochastic mortality models. Insurance Math Econ. 2011;48(3):355–67. ID - ref52 ER -