@incollection{KWW2008b,
    TITLE = {The Future of Census Coverage Surveys},
   AUTHOR = {Kenneth W. Wachter},
BOOKTITLE = {Probability and Statistics: Essays in Honor of David A. Freedman},
   EDITOR = {Deborah Nolan and Terence Speed},
   SERIES = {IMS Collections},
   VOLUME = {2},
PUBLISHER = {Institute of Mathematical Statistics},
  ADDRESS = {Beachwood, OH},
    PAGES = {234--245},
     YEAR = {2008},
       ID = {info:doi/10.1214/193940307000000464},
 ABSTRACT = {A quarter-century of statistical research has shown that census
             coverage surveys, valuable as they are in offering a report card on
             each decennial census, do not provide usable estimates of
             geographical differences in coverage. The determining reason is the
             large number of ``doubly missing'' people missing both from the
             census enumeration and from coverage survey estimates. Future
             coverage surveys should be designed to meet achievable goals,
             foregoing efforts at spatial specificity. One implication is a
             sample size no more than about 30,000, setting free resources for
             controlling processing errors and investing in coverage
             improvement. Possible integration of coverage measurement with the
             American Community Survey would have many benefits and should be
             given careful consideration.},
   }

        

@article{KWW2008c,
    TITLE = {Age Structure Changes and Extraordinary Lifespan in Wild Medfly
             Populations},
   AUTHOR = {James R. Carey and Nikos T. Papadopoulous and Hans-Georg M"{u}ller
             and Byron I. Katsoyannos and Nikos A. Kouloussis and Jane-Ling Wang
             and Kenneth Wachter and Wei Yu and and Pablo Liedo},
  JOURNAL = {Aging Cell},
   VOLUME = {7},
    PAGES = {426--437},
     YEAR = {2008},
       ID = {info:doi/10.1111/j.1474-9726.2008.00390.x},
 ABSTRACT = {The main purpose of this study was to test the hypotheses that
             major changes in age structure occur in wild populations of the
             Mediterranean fruit fly (medfly) and that a substantial fraction of
             individuals survive to middle age and beyond (> 3--4 weeks). We
             thus brought reference life tables and deconvolution models to bear
             on medfly mortality data gathered from a 3-year study of field-
             captured individuals that were monitored in the laboratory. The
             average time-to-death of captured females differed between sampling
             dates by 23.9, 22.7, and 37.0 days in the 2003, 2004, and 2005
             field seasons, respectively. These shifts in average times-to-death
             provided evidence of changes in population age structure. Estimates
             indicated that middle-aged medflies (> 30 days) were common in the
             population. A surprise in the study was the extraordinary longevity
             observed in field-captured medflies. For example, 19 captured
             females but no reference females survived in the laboratory for 140
             days or more, and 6 captured but no reference males survived in the
             laboratory for 170 days or more. This paper advances the study of
             aging in the wild by introducing a new method for estimating age
             structure in insect populations, demonstrating that major changes
             in age structure occur in field populations of insects, showing
             that middle-aged individuals are common in the wild, and revealing
             the extraordinary lifespans of wild-caught individuals due to their
             early life experience in the field.},
   }

        

@article{KWW2008d,
    TITLE = {Biodemography Comes of Age},
   AUTHOR = {Kenneth W. Wachter},
  JOURNAL = {Demographic Research},
   VOLUME = {19},
   NUMBER = {40},
    PAGES = {1501--1512},
      URL = {http://www.demographic-research.org/volumes/vol19/40/},
    MONTH = {August},
     YEAR = {2008},
 ABSTRACT = {Biodemography has emerged and grown over the last fifteen years,
             with loyal and farsighted support from its patrons. As it enters
             what might be called its adolescence as a field, it faces
             challenges along with abounding opportunities. One challenge is to
             continue to generate knowledge that contributes to human health and
             well-being. A second is to insist on high standards of quality
             control within its cross-disciplinary environment. Opportunities
             appear in a variety of directions, including mathematical modeling,
             genomic analyses, and field studies of aging in the wild.},
   }

        

@unpublished{KWWload,
    TITLE = {Vital Rates and the Action of Mutation Accumulation},
   AUTHOR = {Kenneth W. Wachter and David R. Steinsaltz and Steven N. Evans},
       ID = {info:oai/arXiv.org:0808.3622},
     YEAR = {2008},
 ABSTRACT = {New models for evolutionary processes of mutation accumulation
             allow hypotheses about the age-specificity of mutational effects to
             be translated into predictions of heterogeneous population hazard
             functions. We apply these models to questions in the biodemography
             of longevity, including proposed explanations of Gompertz hazards
             and mortality plateaus, and use them to explore the possibility of
             melding evolutionary and functional models of aging.},
   }

        

@unpublished{KWWwalls,
    TITLE = {The Age-Specific Force of Natural Selection and Walls of Death},
   AUTHOR = {Kenneth W. Wachter and Steven N. Evans and David R. Steinsaltz},
       ID = {info:oai/arXiv.org:0807.0483},
     YEAR = {2008},
 ABSTRACT = {W.D. Hamilton's celebrated formula for the age-specific force of
             natural selection furnishes predictions for senescent mortality due
             to mutation accumulation, at the price of reliance on a linear
             approximation. Applying to Hamilton's setting the full non-linear
             demographic model for mutation accumulation of Evans et al. (2007),
             we find surprising differences. Non-linear interactions cause the
             collapse of Hamilton-style predictions in the most commonly studied
             case, refine predictions in other cases, and allow Walls of Death
             at ages before the end of reproduction. Haldane's Principle for
             genetic load has an exact but unfamiliar generalization.},
   }