Top Abstract Purchase Related
Home
>
Node
>
Subnode

Applying a data duplication technique in linear regression analysis of waiting time to pregnancy

Awang, H.

Journal of Biosocial Science 37(4): 471-479

2005

ISSN/ISBN: 0021-9320
PMID: 16082858
DOI: 10.1017/s0021932004006984
Document Number: 255466
This analysis demonstrates the application of a data duplication technique in linear regression with censored observations of the waiting time to third pregnancy ending in two outcome types, using data from Malaysia. The linear model not only confirmed the results obtained by the Cox proportional hazards model, but also identified two additional significant factors. The method provides a useful alternative when Cox proportionality assumption of the hazards is violated.

Document emailed within 0-6 h
Secure & encrypted payments

Awang, H. 2003: Determinants of waiting time to third pregnancy using censored linear regression Journal of Biosocial Science 35(1): 59-70
Salas-Wadge, M.H. 1994: Use of linear multiple regression analysis on dental survey data Community Dental Health 11(4): 197-201
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
Lee, M.L.; Poon, W.Y.; Kingdon, H.S. 1990: A two-phase linear regression model for biologic half-life data Journal of Laboratory and Clinical Medicine 115(6): 745-748
Rossvoll, I.; Benum, P. 1991: Waiting time for treatment in hospital. how can we measure and regulate the waiting time? Tidsskrift for den Norske Laegeforening: Tidsskrift for Praktisk Medicin Ny Raekke 111(29): 3540-3543
Greene, J.; Hall, J. 2012: The comparability of emergency department waiting time performance data Medical Journal of Australia 197(6): 345-348
Caselli, M.; Mangone, A.; Paolillo, P.; Traini, A. 2002: Determination of the acid dissociation constant of bromocresol green and cresol red in water/AOT/isooctane reverse micelles by multiple linear regression and extended principal component analysis Annali di Chimica 92(5-6): 501-512
Bhadra, S.; Bhattacharyya, C.; Chandra, N.R.; Mian, I.Saira. 2009: A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data Algorithms for Molecular Biology: Amb 4: 5
Johnson, Y.R.; Herman, A.A.; Yu, K.F.; Hoffman, H.J. 1994: Time to subsequent pregnancy as a function of age at first pregnancy and perinatal outcome of the previous pregnancy in a cohort of adolescent women A survival analysis of Missouri vital birth and death records Pediatric Research 37(4 Part 2): 6A
Gibbons, 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
Lowndes, C.M.; Alary, M.; Verma, S.; Demers, E.; Bradley, J.; Jayachandran, A.A.; Ramesh, B.M.; Moses, S.; Adhikary, R.; Mainkar, M.K. 2010: Assessment of intervention outcome in the absence of baseline data: 'reconstruction' of condom use time trends using retrospective analysis of survey data Sexually Transmitted Infections 86 Suppl. 1: I49-I55
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
Tauchi, K. 1983: Prognosis of acute hepatitis B using multiple regression analysis of clinical test data--selection of variables Rinsho Byori. Japanese Journal of Clinical Pathology 31(4): 414-420
Pagano, M. 1995: Simple linear regression and correlation Nutrition 11(2): 179
Bůzková, P.; Brown, E.R.; John-Stewart, G.C. 2010: Longitudinal data analysis for generalized linear models under participant-driven informative follow-up: an application in maternal health epidemiology American Journal of Epidemiology 171(2): 189-197
Dankner, R.; Agay, N.; Olmer, L.; Murad, H.; Keinan Boker, L.; Balicer, R.D.; Freedman, L.S. 2019: Metformin Treatment and Cancer Risk: Cox Regression Analysis, with Time-Dependent Covariates, of 320,000 Persons with Incident Diabetes Mellitus American Journal of Epidemiology 188(10): 1794-1800
Chan, Y.H. 2005: Biostatistics 306. Log-linear models: poisson regression Singapore Medical Journal 46(8): 377-385; Quiz 386
Skalská, H. 1990: Use of linear logistic regression in classification of observations Sbornik Vedeckych Praci Lekarske Fakulty Karlovy Univerzity V Hradci Kralove. Suppl 33(5): 655-661
Lee, C.-F.; Wen, F.-H. 2008: Applying the hierarchical linear model in longitudinal studies: an example of symptom distress in women who had undergone a hysterectomy Hu Li Za Zhi Journal of Nursing 55(4): 63-72