Applied survival analysis: regression modeling of time to event data, Second edition von Hosmer, David W, Lemeshow, Stanley, May, Susanne

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Parameter Estimation and Goodness-of-Fit in Log Binomial Regression von Blizzard, L., Hosmer, W.

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Differing risk profiles for individual fracture sites: Evidence from the global longitudinal study of osteoporosis in women (GLOW) von FitzGerald, Gordon, Boonen, Steven, Compston, Juliet E, Pfeilschifter, Johannes, LaCroix, Andrea Z, Hosmer Jr, David W, Hooven, Frederick H, Gehlbach, Stephen H

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Applied Logistic Regression, 3rd Edition von David W. Hosmer Jr, Stanley Lemeshow, Rodney X. Sturdivant

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Applied logistic regression, third edition von Hosmer, David W, Lemeshow, Stanley, Sturdivant, Rodney X

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A COMPARISON OF GOODNESS‐OF‐FIT TESTS FOR THE LOGISTIC REGRESSION MODEL von HOSMER, D. W., HOSMER, T., LE CESSIE, S., LEMESHOW, S.

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How to Test for Goodness of Fit in Ordinal Logistic Regression Models von Fagerland, Morten W., Hosmer, David W.

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Goodness-of-fit processes for logistic regression: simulation results von Hosmer, David W., Hjort, Nils Lid

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A Generalized Hosmer–Lemeshow Goodness-of-Fit Test for Multinomial Logistic Regression Models von Fagerland, Morten W., Hosmer, David W.

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Purposeful selection of variables in logistic regression von Bursac, Zoran, Gauss, C Heath, Williams, David Keith, Hosmer, David W

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A goodness-of-fit test for the proportional odds regression model von Fagerland, Morten W., Hosmer, David W.

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The Log Multinomial Regression Model for Nominal Outcomes with More than Two Attributes von Blizzard, L., Hosmer, D. W.

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Confidence Interval Estimation of Interaction von Hosmer, David W., Lemeshow, Stanley

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Relationship of Weight, Height, and Body Mass Index With Fracture Risk at Different Sites in Postmenopausal Women: The Global Longitudinal Study of Osteoporosis in Women (GLOW) von Compston, Juliet E, Flahive, Julie, Hosmer, David W, Watts, Nelson B, Siris, Ethel S, Silverman, Stuart, Saag, Kenneth G, Roux, Christian, Rossini, Maurizio, Pfeilschifter, Johannes, Nieves, Jeri W, Netelenbos, J Coen, March, Lyn, LaCroix, Andrea Z, Hooven, Frederick H, Greenspan, Susan L, Gehlbach, Stephen H, Díez‐Pérez, Adolfo, Cooper, Cyrus, Chapurlat, Roland D, Boonen, Steven, Anderson, Frederick A, Adami, Silvano, Adachi, Jonathan D

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The importance of assessing the fit of logistic regression models: a case study von Hosmer, D W, Taber, S, Lemeshow, S

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Multinomial goodness-of-fit tests for logistic regression models von Fagerland, Morten W., Hosmer, David W., Bofin, Anna M.

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Empirically Based Composite Fracture Prediction Model From the Global Longitudinal Study of Osteoporosis in Postmenopausal Women (GLOW) von FitzGerald, Gordon, Compston, Juliet E, Chapurlat, Roland D, Pfeilschifter, Johannes, Cooper, Cyrus, Hosmer, David W, Adachi, Jonathan D, Anderson, Frederick A, Díez-Pérez, Adolfo, Greenspan, Susan L, Netelenbos, J. Coen, Nieves, Jeri W, Rossini, Maurizio, Watts, Nelson B, Hooven, Frederick H, LaCroix, Andrea Z, March, Lyn, Roux, Christian, Saag, Kenneth G, Siris, Ethel S, Silverman, Stuart, Gehlbach, Stephen H

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Fractures before menopause: A red flag for physicians von HOSMER, W. D, GENANT, H. K, BROWNER, W. S

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Logistic Regression Analysis: Applications to Ophthalmic Research von Lemeshow, Stanley, Hosmer, David W

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Goodness-of-fit tests for logistic regression models when data are collected using a complex sampling design von Archer, Kellie J., Lemeshow, Stanley, Hosmer, David W.

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