Zobrazeno 1 - 10
of 20
pro vyhledávání: '"S R, Lipsitz"'
Autor:
A Duclos, J L Peix, V Piriou, P Occelli, A Denis, S Bourdy, M J Carty, A A Gawande, F Debouck, C Vacca, J C Lifante, C Colin, P Aegerter, A Aouifi, D Arickx, F Aubart, D Baudrin, W R Berry, C Beuvry, F Bonnet, L Bouveret, P Cabarrot, E Cames, J Caton, M-C Chenitz, F Clergues, J-M Coudray, M Damiens, C Dauzac, B Debono, B De Germay, A-C Deleforterie, J-F Desrousseaux, M-P Didelot, B Doat, N Y Domingo-Saidji, P Durieux, M Fessy, P Hardy, P Cariven, N Fontas, P Ganansia, F Giraud, G Gostiaux, S Habi, S Haga, A Houlgatte, M Jaffe, J Jourdan, N Kaczmarek, S Lamblin, C Level, E Liaras, J-C Lifante, S R Lipsitz, C Majchrzak, B Malavaud, T Mariaux Serres, X Martin, C Martinet, B Maupetit, P Michel, A Movondo, B Naamani, R Nacry, S Olousouzian, P Papin, J-C Paquet, A Parfaite, F Pattou, C Paugam, E Pavy, J-L Peix, H Petit, S Pierre, S Poupon Bourdy, B Pradere, M Quesne, Y Radola, A Raould, F Rongieras, I Rouquette, V Sanders, F Sanz, F Sens, S Surmont, C Sicre, D Tabur, P Targosz, D Thery, N Toppan, G Usandizaga, I Verheyde, F Zadegan
Publikováno v:
The British journal of surgery. 103(13)
Background The application of safety principles from the aviation industry to the operating room has offered hope in reducing surgical complications. This study aimed to assess the impact on major surgical complications of adding an aviation-based te
Publikováno v:
Swiss Medical Weekly.
Chronic liver diseases are common in the general population. Drug treatment in this group may be challenging, as many drugs are hepatically metabolised and hepatotoxic.We aimed to assess the mortality of patients with chronic liver disease according
Publikováno v:
Statistics in medicine. 18(17-18)
Fitting models to incomplete categorical data requires more care than fitting models to the complete data counterparts, not only in the setting of missing data that are non-randomly missing, but even in the familiar missing at random setting. Various
Publikováno v:
Statistics in medicine. 18(17-18)
We propose a likelihood method for estimating parameters in generalized linear models with missing covariates and a non-ignorable missing data mechanism. In this paper, we focus on one missing covariate. We use a logistic model for the probability th
Publikováno v:
Statistics in medicine. 18(4)
Because of current techniques of determining gene mutation, investigators are now interested in estimating the odds ratio between genetic status (mutation, no mutation) and an outcome variable such as disease cell type (A, B). In this paper we consid
Autor:
N J, Horton, J D, Bebchuk, C L, Jones, S R, Lipsitz, P J, Catalano, G E, Zahner, G M, Fitzmaurice
Publikováno v:
Statistics in medicine. 18(2)
Suppose we use generalized estimating equations to estimate a marginal regression model for repeated binary observations. There are no established summary statistics available for assessing the adequacy of the fitted model. In this paper we propose a
Autor:
S R, Lipsitz, J G, Ibrahim
Publikováno v:
Biometrics. 54(3)
Incomplete covariate data is a common occurrence in many studies in which the outcome is survival time. When a full likelihood is specified, a useful technique for obtaining parameter estimates is the EM algorithm. We propose a set of estimating equa
Publikováno v:
Biometrics. 53(3)
We propose weighted estimating equations for data with nonignorable nonresponse in order to reduce the bias that can occur with a complete case analysis. A survey concerning medical practice guidelines, malpractice litigation, and settlement provides
Autor:
S R, Lipsitz, G M, Fitzmaurice
Publikováno v:
Biometrics. 52(3)
Moment-based methods for analyzing repeated binary responses using the marginal odds ratio as a measure of association have been proposed by a number of authors. Carey, Zeger, and Diggle (1993, Biometrika 80, 517-526) have recently described how the
Autor:
J G, Ibrahim, S R, Lipsitz
Publikováno v:
Biometrics. 52(3)
We propose a method for estimating parameters in binomial regression models when the response variable is missing and the missing data mechanism is nonignorable. We assume throughout that the covariates are fully observed. Using a logit model for the