P
Philip S. Wang
Researcher at National Institutes of Health
Publications - 152
Citations - 48738
Philip S. Wang is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Mental health & National Comorbidity Survey. The author has an hindex of 76, co-authored 148 publications receiving 45028 citations. Previous affiliations of Philip S. Wang include Harvard University & Government of the United States of America.
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Journal ArticleDOI
Ventricular arrhythmias and cerebrovascular events in the elderly using conventional and atypical antipsychotic medications.
Philip S. Wang,Philip S. Wang,Sebastian Schneeweiss,Soko Setoguchi,Amanda R. Patrick,Jerry Avorn,Helen Mogun,Niteesh K. Choudhry,M. Alan Brookhart +8 more
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Effects of Efforts to Increase Response Rates on a Workplace Chronic Condition Screening Survey
Philip S. Wang,Arne Beck,David K. McKenas,Laurie Meneades,Nicolaas P. Pronk,John S. Saylor,Gregory E. Simon,Ellen E. Walters,Ronald C. Kessler +8 more
TL;DR: Examining the prevalences and work impairments associated with chronic conditions across four HRA subsamples that differed in intensity of recruitment effort found that expanded HRAs can provide useful data on the prevalence of conditions and their effects on work performance even if response rates are low.
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Explained variation in a model of therapeutic decision making is partitioned across patient, physician, and clinic factors
M. Alan Brookhart,Daniel H. Solomon,Philip S. Wang,Robert J. Glynn,Jerry Avorn,Sebastian Schneeweiss +5 more
TL;DR: The proposed approach is an intuitive and statistically valid method for attributing explained variation in a multilevel analysis of therapeutic decision making and used in an analysis of adherence to evidence-based guidelines for the care of patients at risk of osteoporosis.
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Finding incident breast cancer cases through US claims data and a state cancer registry.
TL;DR: Combining health insurance claims data with a population-based cancer registry improved the identification of incident cases of breast cancer, and may be particularly useful among demographic groups found to be at highest risk of under-ascertainment such as younger women, the poor, and racial minorities.
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Use of the case-crossover design to study prolonged drug exposures and insidious outcomes
TL;DR: The results suggest that with lengthened exposure assessment windows, case-crossover methods may be useful for studying exposures with prolonged effects and outcomes with insidious onsets.