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Helen KIM ; S. CLAIBORNE JOHNSTON ; Michael-T LAWTON ; Charles-E MCCULLOCH ; SIDNEY (Stephen) : USA. Division of Research. Kaiser Permanente Northern California. Oakland. CA. ; William-L YOUNG ; Center for Cerebrovascular Research. Department of Anesthesia and Perioperative Care. School of Medicine. University of California. San Francisco Ucsf San Francisco. CA. USA ; Department of Epidemiology and Biostatistics. School of Medicine. Ucsf. San Francisco. CA. USA ; Department of Neurological Surgery. School of Medicine. Ucsf. San Francisco. CA. USA ; Department of Neurology. School of Medicine. Ucsf. San Francisco. CA. USA |[BDSP. Notice produite par INIST-CNRS qFR0xJsB. Diffusion soumise à autorisation]. Estimating risk of intracranial hemorrhage (ICH) for patients with unruptured brain arteriovenous malformations (AVMs) in the natural course is essential for asse[...]
Article
[BDSP. Notice produite par INIST-CNRS FHiGR0xJ. Diffusion soumise à autorisation]. The rule of thumb that logistic and Cox models should be used with a minimum of 10 outcome events per predictor variable (EPV), based on two simulation studies, m[...]
Article
Peter BACCHETTI ; Charles-E MCCULLOCH ; PRENTICE (Ross) : USA. Division of Public Health Sciences. Fred Hutchinson Cancer Research Center. Seattle. WA. ; Mark-R SEGAL ; WOLF (Leslie-E) : USA. Program in Medical Ethics. Department of Medicine. School of Medicine. University of California. San Francisco. CA. ; University of California. School of Medicine. Department of Epidemiology and Biostatistics. Division of Biostatistics. San Francisco. CA. USA |[BDSP. Notice produite par INIST-CNRS FX3R0xmR. Diffusion soumise à autorisation]. The belief is widespread that studies are unethical if their sample size is not large enough to ensure adequate power. The authors examine how sample size influen[...]
Article
Sclaiborne JOHNSTON ; Tanya HENNEMAN ; Charles-E MCCULLOCH ; Mark VAN DER LAAN ; Division of Biostatistics. School of Public Health. University of California. Berkeley. Berkeley. CA. USA |[BDSP. Notice produite par INIST-CNRS R0x3fbKA. Diffusion soumise ... autorisation]. During evaluation of treatment effects in observational studies, confounding is a constant threat because it is always possible that patients with a better prog[...]
