[1]
|
Hernandez-Avila, C.A., Song, C., Kuo, L., Tennen, H., Armeli, S. and Kranzler, H.R. (2006) Targeted versus daily naltrexone: Secondary analysis of effects on average daily drinking. Alcoholism, Clinical and Experimental Research, 30(5), 860-865.
|
[2]
|
Slymen, D.J., Ayala, G.X., Arredondo, E.M., Elder, J.P. (2006) A demonstration of modeling count data with an application to physical activity. Epidemiologic Perspectives & Innovations, 3(3), 1-9.
|
[3]
|
Horton, N.J., Kim, E. and Saitz, R. (2007) A cautionary note regarding count models of alcohol consumption in randomized controlled trials. BioMed Central Medical Research Methodology, 7(9), 1-9.
|
[4]
|
Salinas-Rodriguez, A., Manrique-Espinoza, B. and Sosa- Rubi, S.G. (2009) Statistical analysis for count data: Use of health services applications. Salud Publica Mex, 51(5), 397-406.
|
[5]
|
Asada, Y. and Kephart, G. (2007) Equity in health services use and intensity of use in Canada. Biomed Central Health Services Research, 7(41), 1-12.
|
[6]
|
Grootendorst, P.V. (1995) A comparison of alternative models of prescription drug utilization. Health Economics, 4(3), 183-198.
|
[7]
|
Afifi, A.A., Kotlerman, J.B., Ettner, S.L. and Cowan, M. (2007) Methods for improving regression analysis for skewed continuous or counted responses. Annual Review of Public Health, 28, 95-111.
|
[8]
|
Hur, K., Hedeker, D., Henderson, W., Khuri, S. and Daley, J. (2002) Modeling clustered count data with excess zeros in health care outcomes research. Health Services and Outcomes Research Methodology, 2002, 3, 5-20.
|
[9]
|
Lee, A.H., Wang, K., Scott, J.A., Yau, K.K. and McLachlan, G.J. (2006) Multi-level zero-inflated Poisson regression modeling of correlated count data with excess zeros. Statistical Methods in Medical Research, 15(1), 47-61.
|
[10]
|
Yau, K.K. and Lee, A.H. (2001) Zero-inflated Poisson regression with random effects to evaluate an occupational injury prevention programme. Statistics in Medicine, 20 (19), 2907-2920.
|
[11]
|
Min, Y. and Agresti, A. (2005) Random effect models for repeated measures of zero-inflated count data. Statistical Modelling, 5(1), 1-19.
|
[12]
|
Gardner, W., Mulvey, E.P. and Shaw, E.C. (1995) Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models. Psychological Bulletin, 118(3), 392-404.
|
[13]
|
Hardin, J.W. and Hilbe, J.M. (2007) Generalized Linear Models and Extensions. A Stata Press Publication, StatCorp LP, Texas.
|
[14]
|
Mullay, J. (1986) Specifications and testing of some modified count data model. Journal of Econometrics, 33(3), 341-365.
|
[15]
|
Lambert, D. (1992) Zero-inflated Poisson regression, with application to defects in manufacturing. Technometrics, 34(1), 1-14.
|
[16]
|
Vuong, Q.H. (1989) Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica, 57 (2), 307-333.
|
[17]
|
Picard, R. and Cook, D. (1984) Cross-Validation of Regression Models. Journal of the American Statistical Association 1984, 79(387), 575-583.
|
[18]
|
Baughman, L.A. (2007) Mixture model framework facilitates understanding of zero-inflated and hurdle models for count data. Journal of Biopharmaceutical Statistics 2007, 17(5), 943-946.
|
[19]
|
Gilthorpe, M.S., Frydenberg, M., Cheng, Y. and Baelum, V. (2009) Modelling count data with excessive zeros: The need for class prediction in zero-inflated models and the issue of data generation in choosing between zero-inflated and generic mixture models for dental caries data. Statistics in Medicine, 28(28), 3539-3553.
|
[20]
|
Sandhu, D.S., Sandhu, S., Karwasra, R.K. and Marwah, S. (2010) Profile of breast cancer patients at a tertiary care hospital in north India. Indian Journal of Cancer, 47(1), 16-22.
|
[21]
|
Saxena, S., Rekhi, B., Bansal, A., Bagga, A., Chintamani and Murthy, N.S. (2005) Clinico-morphological patterns of breast cancer including family history in a New Delhi hospital, India-A cross-sectional study. World Journal of Surgical Oncology, 3, 67-75.
|
[22]
|
Nouh, M.A., Ismail, H., Ali El-Din, N.H. and El-Bolkainy, M.N. (2004) Lymph node metastasis in breast carcinoma: Clinicopathologic correlations in 3747 patients. Journal of Egyptian National Cancer Institute, 16(1), 50-56.
|
[23]
|
Gann, P.H., Colilla, S.A., Gapstur, S.M., Winchester, D.J. and Winchester, D.P. (1999) Factors associated with axillary lymph node metastasis from breast carcinoma descriptive and predictive analyses. Cancer, 86(8), 1511- 1518.
|
[24]
|
Olivotto, I.A., Jackson, J.S.H., Mates, D., Andersen, S., Davidson, W., Bryce, C.J. and Ragaz, J. (1998) Prediction of axillary lymph node involvement of women with invasive breast carcinoma a multivariate analysis. Cancer, 83(5), 948-955.
|
[25]
|
Ravdin, P.M., De Laurentiis, M., Vendely, T. and Clark, G.M. (1994) Prediction of axillary lymph node status in breast cancer patients by use of prognostic indicators. Journal of National Cancer Institute, 86(23), 1771-1775.
|
[26]
|
Chua, B., Ung, O., Taylor, R. and Boyages, J. (2001) Fre- quency and predictors of axillary lymph node metastases in invasive breast cancer. Australian and New Zealand Journal of Surgery, 71(12), 723-728.
|
[27]
|
Manjer, J., Balldina, G. and Garne, J.P. (2004) Tumour location and axillary lymph node involvement in breast cancer: A series of 3472 cases from Sweden. European Journal of Surgical Oncology, 30(6), 610-617.
|
[28]
|
Manjer, J., Balldin, G., Zackrisson, S. and Garne, J.P. (2005) Parity in relation to risk of axillary lymph node involvement in women with breast cancer. European Surgical Research, 37(3), 179-184.
|
[29]
|
Olivotto, I.A., Jackson, J.S.H., Mates, D., Andersen, S., Davidson, W., Bryce, C.J. and Ragaz, J. (1998) Prediction of axillary lymph node involvement of women with invasive breast carcinoma a multivariate analysis. Cancer, 83(5), 948-955.
|
[30]
|
Ravdin, P.M., De Laurentiis, M., Vendely, T. and Clark, G.M. (1994) Prediction of axillary lymph node status in breast cancer patients by use of prognostic indicators. Journal of National Cancer Institute, 86(23), 1771-1775.
|
[31]
|
Chua, B., Ung, O., Taylor, R. and Boyages, J. (2001) Frequency and predictors of axillary lymph node metastases in invasive breast cancer. Australian and New Zealand Journal of Surgery, 71(12), 723-728.
|
[32]
|
Cetintas, S.K., Kurt, M., Ozkan, L., Engin, K., Gokgoz, S. and Tasdelen, I. (2006) Factors influencing axillary node metastasis in breast cancer. Tumori, 92(5), 416-422.
|
[33]
|
Fisher, B., Bauer, M., Wickerham, D.L., Redmond, C.L.K. and Fisher, E.R. (1983) Relation of number of positive axillary nodes to the prognosis of patients with primary breast cancer. Cancer, 52(9), 1551-1557.
|
[34]
|
Harden, S.P., Neal, A.J., Al-Nasiri, N., Ashley, S. and Quercidella, R.G. (2001) Predicting axillary lymph node metastases in patients with T1 infiltrating ductal carcinoma of the breast. The Breast, 10(2), 155-159.
|
[35]
|
Guern, A.S. and Vinh-Hung, V. (2008) Statistical distribution of involved axillary lymph nodes in breast cancer. Bull Cancer, 95(4), 449-455.
|
[36]
|
Kendal, W.S. (2005) Statistical kinematics of axillary nodal metastases in breast carcinoma. Clinical & Expe- rimental Metastasis, 22(2), 177-183.
|
[37]
|
Cameron, A.C. and Trivedi, P.K. (1998) Regression Analysis of Count Data. Cambridge University Press, New York, USA.
|
[38]
|
Rose, C.E., Martin, S.W., Wannemuehler, K.A. and Plikaytis, B.D. (2006) On the use of zero-inflated and hurdle models for modeling vaccine adverse event count data. Journal of Biopharmaceutical Statistics, 16(4), 463-481.
|
[39]
|
Rampaul, R.S., Miremadi, A., Pinder, S.E., Lee, A. and Ellis, I.O. (2001) Pathological validation and significance of micrometastasis in sentinel nodes in primary breast can- cer. Breast Cancer Research, 3(2), 113-116.
|
[40]
|
Schaapveld. M., Otter, R., de Vries, E.G., Fidler, V., Grond, J.A., van der Graaf, W.T., de Vogel, P.L. and Will- emse, P.H. (2004) Variability in axillary lymph node dissection for breast cancer. Journal of Surgical Oncology, 87(1), 4-12.
|
[41]
|
Martin, T.G., Wintle, B.A., Rhodes, J.R., Kuhnert, P.M., Field, S.A., Low-Choy, S.J., Tyre, A.J. and Possingham, H.P. (2005) Zero tolerance ecology: Improving ecological inference by modeling the source of zero observations. Ecology Letters, 8(11), 1235-1246.
|
[42]
|
Zorn, C.J.W. (1996) Evaluating zero-inflated and hurdle Poisson specifications. Midwest Political Science Assoc- iation, San Diego, 1-16.
|
[43]
|
Boucher, J.P., Denuit, M. and Guillen, M. (2007) Risk classification for claim counts: A comparative analysis of various zero inflated mixed Poisson and hurdle models. North American Actuarial Journal, 11(4), 110-131.
|
[44]
|
Bohning, D., Dietz, E., Schlattmann, P., Mendonca, L. and Kirchner, U. (1999) The zero inflated Poisson model and the decayed, missing and filled teeth index in dental epidemiology. Journal of the Royal Statistical Society (Series A), 162(2), 195-209.
|
[45]
|
Cheung, Y.B. (2002) Zero-inflated models for regression analysis of count data: A study of growth and development. Statistics in Medicine, 21(10), 1461-1469.
|