M
Michael E. Chernew
Researcher at Harvard University
Publications - 347
Citations - 14965
Michael E. Chernew is an academic researcher from Harvard University. The author has contributed to research in topics: Health care & Managed care. The author has an hindex of 61, co-authored 336 publications receiving 13508 citations. Previous affiliations of Michael E. Chernew include Leonard Davis Institute of Health Economics & Tufts University.
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Journal ArticleDOI
Willingness to Pay for a Quality-adjusted Life Year: In Search of a Standard
TL;DR: The authors determined the value of a QALY as implied by the value-of-life literature and compared this value with arbitrary thresholds for cost-effectiveness that have come into common use and far exceed the "rules of thumb" that are frequently used to determine whether an intervention produces an acceptable increase in health benefits in exchange for incremental expenditures.
Journal ArticleDOI
What Is the Price of Life and Why Doesn't It Increase at the Rate of Inflation?
Journal ArticleDOI
National estimates of the quantity and cost of informal caregiving for the elderly with dementia
Kenneth M. Langa,Michael E. Chernew,Mohammed U. Kabeto,A. Regula Herzog,Mary Beth Ofstedal,Robert J. Willis,Robert B. Wallace,Lisa Mucha,Walter L. Straus,A. Mark Fendrick +9 more
TL;DR: The quantity and associated economic cost of informal caregiving for the elderly with dementia are substantial and increase sharply as cognitive impairment worsens, which represents a national annual cost of more than $18 billion.
Journal ArticleDOI
Measuring Low-Value Care in Medicare
Aaron L. Schwartz,Bruce E. Landon,Bruce E. Landon,Adam G Elshaug,Michael E. Chernew,J. Michael McWilliams,J. Michael McWilliams +6 more
TL;DR: Services detected by a limited number of measures of low-value care constituted modest proportions of overall spending but affected substantial proportions of beneficiaries and may be reflective of overuse more broadly.
Journal ArticleDOI
Using propensity scores in difference-in-differences models to estimate the effects of a policy change
Elizabeth A. Stuart,Haiden A. Huskamp,Kenneth Duckworth,Jeffrey Simmons,Zirui Song,Michael E. Chernew,Colleen L. Barry +6 more
TL;DR: The use of propensity scores in conjunction with DD models are described, in particular investigating a propensity score weighting strategy that weights the four groups to be balanced on a set of characteristics to deal with confounding.