Use of multiform regression models in perinatal diagnosis as a standard of partial (off line) data processing system. II. Interpretation of results and the use of multiform regression models
Ronin-Walknowska, E.; Drelichowski, L.; Kornacki, Z.
Ginekologia Polska 48(3): 259-264
1977
ISSN/ISBN: 0017-0011 PMID: 323111 Document Number: 110597
Document emailed within 1 workday
Related Documents
Goerdten, J.; Carrière, I.; Muniz-Terrera, G. 2020: Comparison of Cox proportional hazards regression and generalized Cox regression models applied in dementia risk prediction Alzheimer's and Dementia 6(1): E12041Gibbons, R.D.; Hedeker, D.; Waternaux, C.; Davis, J.M. 1988: Random regression models: a comprehensive approach to the analysis of longitudinal psychiatric data Psychopharmacology Bulletin 24(3): 438-443
Enke, W. 1984: Ein adaptives Regressionsmodell-lernende, lineare, multiple Regression - Modèle adaptatif de régression ― une régression avec apprentissage, linéaire, multiple - An adaptive regression model ― learning, linear, multiple regression Zeitschrift für Meteorologie 34(2): 66-74
Enke, W. 1984: Ein adaptives Regressionsmodell-lernende, lineare, multiple Regression - Modèle adaptatif de régression ― une régression avec apprentissage, linéaire, multiple - An adaptive regression model ― learning, linear, multiple regression Zeitschrift für Meteorologie 34(2): 66-74
Xiang, Y.B.; Gao, Y.T.; Jin, F. 1994: Relative risk regression models Zhonghua Liu Xing Bing Xue Za Zhi 15(4): 244-246
Chan, Y.H. 2005: Biostatistics 306. Log-linear models: poisson regression Singapore Medical Journal 46(8): 377-385; Quiz 386
Harrell, F.E.; Lee, K.L.; Matchar, D.B.; Reichert, T.A. 1985: Regression models for prognostic prediction: advantages, problems, and suggested solutions Cancer Treatment Reports 69(10): 1071-1077
Okulova, N.M.; Skadinia, E.A.; Chunikhin, S.P.; Nesaule, V.M. 1986: Dynamic regression models of human tick-borne encephalitis morbidity in the Latvian SSR Meditsinskaia Parazitologiia i Parazitarnye Bolezni 1: 45-51
Guo, H.-M.; Shyu, Y.-I.L.; Chang, H.-K. 2006: Combining logistic regression with classification and regression tree to predict quality of care in a home health nursing data set Studies in Health Technology and Informatics 122: 891
Dimitrakopoulos, S. 2017: Semiparametric Bayesian inference for time-varying parameter regression models with stochastic volatility Economics Letters 150: 10-14
Belin, T.R.; Diffendal, G.J.; Mack, S.; Rubin, D.B.; Schafer, J.L.; Zaslavsky, A.M. 1993: Hierarchical logistic regression models for imputation of unresolved enumeration status in undercount estimation Journal of the American Statistical Association 88(423): 1,149-1,166
Ángel M.Felicísimo,Aurora Cuartero,Juan Remondo,Elia Quirós 2013: Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods a comparative study Landslides (Springer) 10(2): 175-189
Finn-Bodner, S.T.; Park, R.D.; Tyler, J.W.; Twedt, D.C.; Curtis, C.R. 1993: Ultrasonographic determination, in vitro and in vivo, of canine gallbladder volume, using four volumetric formulas and stepwise-regression models American Journal of Veterinary Research 54(6): 832-835
Syrjänen, K.; Shabalova, I.; Sarian, L.; Naud, P.; Longatto-Filho, A.; Derchain, S.; Kozachenko, V.; Zakharchenko, S.; Roteli-Martins, C.; Nerovjna, R.; Kljukina, L.; Tatti, S.; Branovskaja, M.; Branca, M.; Grunjberga, V.; Erzen, M.; Juschenko, A.; Serpa Hammes, L.; Podistov, J.; Costa, S.; Syrjänen, S. 2012: Covariates of high-risk human papillomavirus (HPV) infections are distinct for incident CIN1, CIN2 and CIN3 as disclosed by competing-risks regression models European Journal of Gynaecological Oncology 33(1): 5-14
Măgureanu, E.; Feller, H.; Cristea, A.; Copelovici, Y.; Cajal, N.; Cernescu, C.; Strulovici, D. 1973: Use of mathematical models in the interpretation of data concerning the evolution of measles morbidity in Rumania Revue Roumaine de Virologie 10(4): 301-317
Chhabra, S.K. 2009: Regional variations in vital capacity in adult males in India: comparison of regression equations from four regions and impact on interpretation of spirometric data Indian Journal of Chest Diseases and Allied Sciences 51(1): 7-13
Adra, A.; Cordero, D.; Mejides, A.; Yasin, S.; Salman, F.; O'Sullivan, M.J. 1994: Caudal regression syndrome: etiopathogenesis, prenatal diagnosis, and perinatal management Obstetrical and Gynecological Survey 49(7): 508-516
North, R.J.; Awwad, M. 1987: T cell suppression as an obstacle to immunologically-mediated tumor regression: elimination of suppression results in regression Progress in Clinical and Biological Research 244: 345-358
Von Essen, A. 1978: The aim: a multiform cancer campaign Münchener Medizinische Wochenschrift 120(37): 1173
Betkowski, A.; Orłow, A.; Zajac, I. 1978: Multiform laryngeal adenoma Otolaryngologia Polska 32(1): 109-110